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MINI REVIEW article

Front. Psychol., 07 April 2015
Sec. Cognition

On the importance of Task 1 and error performance measures in PRP dual-task studies

  • 1Department of Psychology, Humboldt University Berlin, Berlin, Germany
  • 2Department of Psychology, Medical School Hamburg, Hamburg, Germany

The psychological refractory period (PRP) paradigm is a dominant research tool in the literature on dual-task performance. In this paradigm a first and second component task (i.e., Task 1 and Task 2) are presented with variable stimulus onset asynchronies (SOAs) and priority to perform Task 1. The main indicator of dual-task impairment in PRP situations is an increasing Task 2-RT with decreasing SOAs. This impairment is typically explained with some task components being processed strictly sequentially in the context of the prominent central bottleneck theory. This assumption could implicitly suggest that processes of Task 1 are unaffected by Task 2 and bottleneck processing, i.e., decreasing SOAs do not increase reaction times (RTs) and error rates of the first task. The aim of the present review is to assess whether PRP dual-task studies included both RT and error data presentations and statistical analyses and whether studies including both data types (i.e., RTs and error rates) show data consistent with this assumption (i.e., decreasing SOAs and unaffected RTs and/or error rates in Task 1). This review demonstrates that, in contrast to RT presentations and analyses, error data is underrepresented in a substantial number of studies. Furthermore, a substantial number of studies with RT and error data showed a statistically significant impairment of Task 1 performance with decreasing SOA. Thus, these studies produced data that is not primarily consistent with the strong assumption that processes of Task 1 are unaffected by Task 2 and bottleneck processing in the context of PRP dual-task situations; this calls for a more careful report and analysis of Task 1 performance in PRP studies and for a more careful consideration of theories proposing additions to the bottleneck assumption, which are sufficiently general to explain Task 1 and Task 2 effects.

Introduction

When people execute two simultaneous or systematically delayed distinct tasks under dual-task conditions, performance in these tasks is often impaired (e.g., Kahneman, 1973; Wickens, 1980; Pashler, 2000, and many more). In the context of well-controllable behavioral dual-task situations, these impairments are demonstrated by an increase in reaction times (RTs) and/or error rates under dual-task in contrast to single-task conditions (the isolated task execution), referred to as “dual-task costs.”

One of the most prominent dual-task situations is of the psychological refractory period (PRP) type (Telford, 1931; Vince, 1949; Welford, 1952; Pashler, 1984, 1994; Pashler and Johnston, 1989, 1998; Osman and Moore, 1993; Schubert, 1999; Schubert et al., 2008). In this dual-task situation, two component tasks are presented in close succession with various time intervals between the onsets of a first and second task stimulus (i.e., variable stimulus onset asynchronies, SOAs) and participants are given fixed-priority instructions on the execution of the first task (Task 1). As illustrated in Figure 1A, the performance of the second task (Task 2) typically decreases (e.g., RTs increase) with decreasing SOA and increasing task overlap. This performance decrease indicates dual-task costs in the context of PRP dual tasks (i.e., the PRP effect).

FIGURE 1
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Figure 1. Illustration of performance patterns in the context of dual tasks of the Psychological Refractory Period type (note, that an increase at the y axis represents performance impairment and an increase at the x axis represents an increase in stimulus onset asynchrony, SOA). Panel (A): Task 1 and Task 2 performance according to the central bottleneck model. Panel (B): Task 1 and Task 2 performance according to less strict sequential interpretations of bottleneck models and impaired performance with decreasing SOA in both tasks.

To explain the PRP effect, the prominent central bottleneck theory suggests that the mental operation associated with the selection of which response to execute can never be made for two tasks simultaneously. Instead, this model assumes that response selection requires a single mechanism to be dedicated to it for some period of time. Thus, there is a strict sequential response selection in two tasks of a dual-task situation due to a structural and unavoidable processing bottleneck. In this strict interpretation of the central bottleneck model, the sequential processing at the central bottleneck leads to processing impairments (i.e., processing delays or errors) in the second component tasks of a PRP situation. This processing impairment increases with decreasing SOA (Pashler, 1994), leading to the PRP effect in Task 2.

Accordingly, the literature on PRP/central bottleneck theory typically introduces and entails no effect of SOA on Task 1 performance (Figure 1A; e.g., Pashler, 1984, 1994; Allen et al., 1998; Ruthruff and Pashler, 2001; Kunde et al., 2007, and many more). This lacking effect is a consequence of the assumption of a strict sequential processing of response selections, i.e., (1) an engagement of a central processing mechanism of 100 and 0% to Task 1 and Task 2, respectively, before (2) an engagement of this mechanism of 0 and 100% to Task 1 and Task 2, respectively. Task 1 and Task 2 performance analyses should thus be treated in the context of PRP situations and the central bottleneck theory in order to test these assumptions. Furthermore, these analyses should focus on all available data types. In the context of most behavioral experiments, these analyses combine analyses on RTs as well as error rate data.1

The dual-task literature, however, seems to treat (1) Task 1 performance and (2) error rates with less emphasis and caution. One of the few examples that systematically relates dual-task performance in form of error rates to RTs occurs in a series of studies combining ideomotor compatibility tasks (i.e., component tasks in which stimulus information shares response information; e.g., if an auditory stimulus is “A” or “B,” say “A” and “B,” respectively) in PRP situations (Lien et al., 2002; Greenwald, 2003). Dual-task performance showed an effect of SOA on error rates regardless of the type of instruction (Shin et al., 2007). These rates increased from long to short SOAs under conditions of a speed-instruction (i.e., “Perform as fast as possible”) as well as under a speed-and-accuracy instruction (i.e., “Perform as fast and as accurately as possible”) in both Task 1 and Task 2. The authors interpreted these findings (in combination with RT data) as evidence for bottleneck processing when combining ideomotor compatible tasks. Alongside this example, there are only very few approaches in PRP literature and literature with strict interpretations of the central bottleneck theory that systematically apply and interpret error data with a focus on Task 1 performance for modeling dual-task processing. This is surprising considering that alternative theoretical approaches within the context of the central bottleneck theory (see Discussion) and outside this context (e.g., resource theories, Kantowitz, 1978; Logan and Gordon, 2001; Navon and Miller, 2002; Wickens, 2002; Tombu and Jolicœur, 2003) particularly provide systematic interpretations of Task 1’s error rates as well as RTs. The consideration of Task 1’s data is essential to produce a comprehensive picture of dual-task processing in the context of these theories.

As a consequence of the impression of treating Task 1 performance with less emphasis and caution, the aim of the present study is to systematically review PRP literature with a focus on (1) the report policy of Task 1 performance data as well as (2) the actual performance in this task. The first aim generally specifies the policy to report error data compared to RT data of Task 1. Importantly, we specify this policy with a focus on presenting RT and error data (e.g., in form of figures and/or tables), as well as reporting statistics on both performance measures (e.g., in form of analysis of variance). While the central bottleneck theory makes explicit assumptions on RTs, error rates are often underrepresented in the context of this theory. Therefore, we speculate that, due to this underrepresentation, the number of PRP studies including reported error data (i.e., in form of data presentations and statistical analyses) is lower than the number including RT data (despite a general request of no selective data report in empirical studies, Boot et al., 2011).

We review whether Task 1 performance is independent of SOA using the perspective of the second aim: that is, RTs and error rates are constant across SOAs. On the other hand, the following data patterns in Task 1 are not conceivable in the context of this theory: (1) RTs are constant and error rates increase with decreasing SOA, (2) error rates are constant and RTs increase with decreasing SOA, (3) error rates and RTs increase with decreasing SOA (Figure 1B). These latter data patterns are consistent with the assumption that bottleneck processing is potentially less sequential than theorized in a strict interpretation of the central bottleneck theory, but they call for additions to this assumption (as indicated in the Discussion).

We aim to investigate the proportion of PRP studies that are consistent with one of these data patterns in the present review. In detail, we analyzed the number of PRP experiments showing a statistically significant main effect of SOA (typically in ANOVAs) on Task 1’s RTs and/or error rates, in combination with data patterns demonstrating impaired performance with decreasing SOA (i.e., increased RTs and/or error rates with shorter SOA).2 PRP dual-task situations are rigorous tests of these patterns in Task 1, since participants are explicitly instructed to prioritize this task. This priority on Task 1 should make this task less vulnerable for performance modulations due to the timing (i.e., SOA) of the following Task 2 and should reduce the likelihood of impaired Task 1 performance with decreasing SOAs. Note that we exclusively review SOA main effects on RTs and/or error rates because we focus on robust effects. This focus on robust effects parallels the robust emergence of PRP effects in Task 2 and their clear demonstration via SOA main effects. Furthermore, our focus on SOA main effects allows us to combine analyses across different studies in which SOA modulation is often combined with one or a set of alternative factors (e.g., modulations of stimulus characteristics, stimulus-response relations, etc.). Generally, this type of review should help advance the dual-task literature by specifying the dual-task processing architecture of PRP dual tasks. Furthermore, this review investigates the benefits of using error rates and/or Task 1 performance as a data source to improve our insight into dual-task processing and its theory.

Methods

We searched papers via the abstracting and indexing database PsycINFO devoted to peer-reviewed literature in the behavioral sciences and mental health on May 17th 2013. The search term was “PRP.” This search resulted in a total number of 291 entries from which we excluded reviews, clinical papers, dissertation abstracts, book chapters, modeling studies, and non-English entries. This exclusion procedure left a selection of 133 studies. In total, these studies comprised 306 experiments.

Results

In the Results section, we first focus on the amount of papers presenting Task 1’s RT data vs. error rates in form of figures and/or tables. Secondly, we report the amount of studies that perform inference-statistical analyses (e.g., analysis of variance) on RTs and/or error rates of this task. Thirdly, we review PRP studies with a particular focus on the impact of decreasing SOA on decreasing performance (i.e., increasing RTs and error rates) in Task 1.

The number and percent of experiments (out of the total of 306 experiments of 133 studies) presenting RT or error data in form of (1) figures, (2) tables, (3) figures and tables, as well as (4) figures and/or tables for Task 1, is presented in Table 1. Apart from what PRP studies include and is presented in this table, the reversed perspective on this table is remarkable: 181 (59.2%) of all experiments [and 97 (45.3%) of all experiments with presentation of Task 1 RT data] presented no error data. In contrast, only 92 (30.1%) of all experiments [and 8 (6.4%) of all experiments with presentation of error data] presented no RT data. Thus, this review demonstrates the underrepresentation of error data presentation in contrast to presenting RTs of Task 1 in PRP dual-task studies.

TABLE 1
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Table 1. Number and percent of experiments presenting RTs and error rates in figures, tables, figures and tables, as well as figures or tables.

The number and percent of experiments (out of a total of 306 experiments of 133 studies) with statistical analyses of RT or error data is presented in Table 2. From our perspective, the most crucial fact of this table is that only 48.7% of the experiments provided statistical analyses of their RTs and error rates. On the other side, this table shows that there is no complete presentation of statistical analyses for 51.3% of the experiments. Thus, this review demonstrates that many PRP dual-task studies allow no conclusive conclusions about Task 1 performance and no test of the implicit assumption that this task’s performance is independent of SOA.

TABLE 2
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Table 2. Number and percent of experiments (total number experiments is 306) with statistical analyses of (1) RTs, (2) error data, (3) RTs and error data, as well as (4) RTs and/or error data in Task 1.

While focusing on the third issue, we exclusively analyzed the selection of studies (combining 149 experiments, see Appendix) that provided statistical analyses of their Task 1’s RTs and error rates (Table 3). This focus shows that a remarkable number of PRP dual-task studies produced data that are not consistent with the assumption of a strict sequential bottleneck processing but calls for additions to this bottleneck assumption (Figure 1B): Task 1 performance was not independent of SOA in most of these studies and showed impaired performance with decreasing SOA (67.1%).

TABLE 3
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Table 3. Number and percent of experiments (total number experiments is 149) with statistical analyses of RTs and error data (see Table 2) as well as an effect of SOA on Task 1 performance (i.e., decreasing SOA and increasing RTs/error rates).

Discussion

Our review demonstrates that a lot of studies do not present all data that is required to analyze and model dual-task processing in the context of the central bottleneck theory in the case of PRP dual-task experiments. First, while a reasonable amount of studies presented RT data of both component tasks (69.3%), this amount is drastically reduced for error data: only 40.8% of the PRP studies presented this data type in tables and/or figures. This rather low amount of studies including error data presentations demonstrates that there is no obtainable conclusive interpretation of PRP dual-task performance in many studies. Thus, these studies do not allow to completely model dual-task processing in the context of the central bottleneck theory. Furthermore, we found a rather low number of studies that analyzed this data statistically and allowed conclusive conclusions about in this context. At this point, it is however fair to admit that not all studies that were identified based on our literature search on “PRP” pursued on investigating the central bottleneck theory; the PRP paradigm can be used manifold (e.g., to simply induce capacity constraints to Task 2 processing). In such cases, reports, analyses, and interpretations should mainly focus on relevant aspects (e.g., primarily data of Task 2).

If we included studies with statistical reports on error data and RTs, a substantial number of experiments demonstrated that, with decreasing SOA, there are increases of error rates, increases of RTs, or both in Task 1. In fact, 67.1% of the included experiments demonstrated one of these patterns. We assume that this number could be even higher because (1) experiments with SOA null effects in Task 1 may merely lack statistical power to reach the significance threshold of a SOA main effect and/or (2) studies with no impaired performance with decreasing SOA also include studies showing an opposite pattern: performance impairments with increasing SOA (see text Footnote 2). This pattern may, however, demonstrate the impact of a response grouping strategy (e.g., Borger, 1963; Schubert, 1996; Miller and Ulrich, 2008). This strategy may mask a data pattern of an impaired performance with decreasing SOA and thus may obscure the number of studies including this pattern. Moreover, for reasons of comparability, we exclusively focused on SOA main effects and neglected combinations of these effects with alternative experimental factors (i.e., interactions). The extension of the focus to interactions could potentially increase the number of experiments with performance impairments of Task 1 with decreasing SOA (particularly when the SOA main effect is non-significant).

Nevertheless, there are a number of theories that explicitly consider dual-task costs in Task 1 (in the PRP context: performance impairments at short in contrast to long SOAs). First, capacity-sharing theories assume that two response selections can be processed in parallel, but that sharing the same limited resource(s) causes dual-task costs (e.g., Herman and Kantowitz, 1970; Kantowitz and Knight, 1974, 1976; Kantowitz, 1978; Wickens, 2002; Tombu and Jolicœur, 2003), because there are fewer resources for each individual task and performance is thus impaired. Participants strategically prioritized one task over another following instructions and/or changes in the relationship of difficulty between the combined tasks, which is consistent with this perspective (e.g., Norman and Bobrow, 1975; Navon and Gopher, 1979; Gopher et al., 1982). Recent representatives of capacity-sharing theories (e.g., Logan and Gordon, 2001; Navon and Miller, 2002; Tombu and Jolicœur, 2003) assume that sequential processing, as anticipated in the central bottleneck theory, may be a strategic product of flexible scheduling of limited resources. For example, participants may not have followed the instruction of PRP dual tasks strictly scheduling engagement 100% to Task 1 and 0% to Task 2 adequately. Task 1 effects can also be explained by the assumption of a strategic task scheduling with a flexible bottleneck localization during the task processing and resource sharing at the level of executive control processes (Meyer and Kieras, 1997).

Second, dual-task costs in Task 1 were also explained in terms of between-task crosstalk (e.g., Hommel, 1998; Logan and Schulkind, 2000; Logan and Gordon, 2001; Lien and Proctor, 2002; Navon and Miller, 2002; Schubert et al., 2008). For instance, performance decreases when two tasks require the simultaneous execution of incompatible (e.g., left vs. right) in contrast to compatible (e.g., left vs. left) spatial responses. This crosstalk assumption is generally consistent with the assumption of capacity-sharing theories, since both enable information transfer between component tasks under dual-task conditions. Thus, if some of the studies demonstrating Task 1 performance impairment with decreasing SOA showed this impairment because of crosstalk, this finding is consistent with sharing common resources between tasks. The difference between crosstalk approaches and capacity-sharing theories is however that the former depend on what content of information is processed while dual-task costs depend on what sort of operation is to be carried out is interpreted in the latter capacity-sharing context. Interestingly, the approaches of Hommel (1998), Lien and Proctor (2002), as well as Schubert et al. (2008) propose a distinction of different sub-processes of the response selection mechanisms (e.g., response activation and initiation), which to different degrees are subjected to cross-task and to sequential processing between tasks. This allows explaining a range of the reported Task 1 effects, with elaborated bottleneck models.

Third, the processing bottleneck (in form of a shared capacity limitation or a structural bottleneck as in the central bottleneck theory) requires the coordination of two task processing streams. For instance, these task coordination processes are related to the efficient preparation of Task 1 information (de Jong, 1995), scheduling of response selections, as well as switches between them (Umiltà et al., 1992; Schubert, 1996, 2008; Lien et al., 2003; Band and van Nes, 2006; Sigman and Dehaene, 2006; Szameitat et al., 2006; Liepelt et al., 2011; Strobach et al., 2012b, 2014). We assume that the latter set of mechanisms (i.e., task coordination processes) particularly affects Task 1 processing under conditions of uncertainty of task order processing (e.g., Arnell and Duncan, 2002, Experiment 1; de Jong, 1995; Tombu and Jolicœur, 2002; Luria and Meiran, 2003, 2005, 2006; Sigman and Dehaene, 2006; Schubert, 2008; Leonhard and Ulrich, 2011; Strobach et al., 2012a; Töllner et al., 2012) because the decision on the order of bottleneck access is typically located before bottleneck processing in Task 1 (Umiltà et al., 1992; Schubert, 1996; Hendrich et al., 2012). The number of studies with task order uncertainty is, however, rather low in comparison to the entire set of analyzed PRP studies and thus should not obscure our general conclusion: a substantial number of experiments in the context of PRP dual-task experiments demonstrate decreasing Task 1 performance with decreasing SOA, which is not consistent with the assumption that processes of Task 1 are unaffected of Task 2 and bottleneck processing in the context of PRP dual-task situations. Actually, this calls for a more careful consideration of theories proposing additions to the bottleneck assumption, which are sufficiently general to explain Task 1 and Task 2 effects.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgment

We thank Antonia Papadakis for proofreading the text.

Footnotes

  1. ^ Here, erroneous dual-task performance is defined as giving an incorrect response or omitting a response in a particular component task and with separate error rate analyses on Task 1 and Task 2. This perspective does not consider studies in which any error that occurred during dual-task performance (irrespective of the component task) meant that the dual task as a whole was not performed correctly and thus error analysis was conducted for both tasks in combination (e.g., Logan and Schulkind, 2000; Strobach et al., 2013; Zwosta et al., 2013). We take this perspective, because the combined error analysis does not allow elaborated and independent conclusions for Task 1 and Task 2 performance.
  2. ^ We were not interested in the reverse phenomenon of impaired performance with increasing SOA (i.e., decreased RTs/error rates at short in contrast to long SOAs) which is typically discussed in the context of grouping of two responses/a tendency to withhold the execution of a first response until the execution of a second response (Borger, 1963; Miller and Ulrich, 2008).

References

Allen, P. A., Smith, A. F., Vires-Collins, H., and Sperry, S. (1998). The psychological refractory period: evidence for age differences in attentional time-sharing. Psychol. Aging 13, 218–229.

Pubmed Abstract | Pubmed Full Text | Google Scholar

Arnell, K. M., and Duncan, J. (2002). Separate and shared sources of dual-task cost in stimulus identification and response selection. Cogn. Psychol. 44, 105–147. doi: 10.1006/cogp.2001.0762

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Band, G. P. H., and van Nes, F. T. (2006). Reconfiguration and the bottleneck: does task switching affect the refractory-period effect? Eur. J. Cogn. Psychol. 18, 593–623. doi: 10.1080/09541440500423244

CrossRef Full Text | Google Scholar

Boot, W. R., Blakely, D. P., and Simons, D. J. (2011). Do action video games improve perception and cognition? Front. Psychol. 2:266. doi: 10.3389/fpsyg.2011.00226

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Borger, R. (1963). The refractory period and serial choice-reactions. Q. J. Exp. Psychol. 15, 1–12. doi: 10.1080/17470216308416546

CrossRef Full Text | Google Scholar

de Jong, R. (1995). Strategical determinants of compatibility effects with task uncertainty. Acta Psychol. 88, 187–207. doi: 10.1016/0001-6918(94)E0067-P

CrossRef Full Text | Google Scholar

Gopher, D., Brickner, M., and Navon, D. (1982). Different difficulty manipulations interact differently with task emphasis: evidence for multiple resources. J. Exp. Psychol. Hum. Percept. Perform. 8, 146–157. doi: 10.1037/0096-1523.8.1.146

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Greenwald, A. G. (2003). On doing two things at once: III. Confirmation of perfect timesharing when simultaneous tasks are ideomotor compatible. J. Exp. Psychol. Hum. Percept. Perform. 29, 859–868. doi: 10.1037/0096-1523.29.5.859

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Hendrich, E., Strobach, T., Buss, M., Müller, H., and Schubert, T. (2012). Temporal-order judgment of visual and auditory stimuli: modulations in situations with and without stimulus discrimination. Front. Integr. Neurosci. 6:63. doi: 10.3389/fnint.2012.00063

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Herman, L. M., and Kantowitz, B. H. (1970). The psychological refractory period effect: only half the double-stimulation story? Psychol. Bull. 73, 74–88. doi: 10.1037/h0028357

CrossRef Full Text | Google Scholar

Hommel, B. (1998). Automatic stimulus–response translation in dual-task performance. J. Exp. Psychol. Hum. Percept. Perform. 24, 1368–1384. doi: 10.1037/0096-1523.24.5.1368

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Kahneman, D. (1973). Attention and Effort. Englewood Cliffs, NJ: Prentice Hall.

Google Scholar

Kantowitz, B. H. (1978). Response conflict theory, error rates and hybrid processing: a reply to McLeod. Acta Psychol. 42, 397–403. doi: 10.1016/0001-6918(78)90021-5

CrossRef Full Text | Google Scholar

Kantowitz, B. H., and Knight, J. L. (1974). Testing tapping time-sharing. J. Exp. Psychol. 103, 331–336. doi: 10.1037/h0036808

CrossRef Full Text | Google Scholar

Kantowitz, B. H., and Knight, J. L. Jr. (1976). Testing tapping timesharing, II: auditory secondary task. Acta Psychol. 40, 343–362. doi: 10.1016/0001-6918(76)90016-0

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Kunde, W., Landgraf, F., Paelecke, M., and Kiesel, A. (2007). Dorsal and ventral processing under dual-task conditions. Psychol. Sci. 18, 100–104.

Pubmed Abstract | Pubmed Full Text | Google Scholar

Leonhard, T., and Ulrich, R. (2011). Determinants of central processing order in psychological refractory period paradigms: central arrival times, detection times, or preparation? Q. J. Exp. Psychol. 64, 2012–2043. doi: 10.1080/17470218.2011.573567

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Lien, M.-C., and Proctor, R. W. (2002). Stimulus-response compatibility and psychological refractory period effects: implications for response selection. Psychon. Bull. Rev. 9, 212–238. doi: 10.3758/BF03196277

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Lien, M.-C., Proctor, R. W., and Allen, P. A. (2002). Ideomotor compatibility in the psychological refractory period effect: 29 years of oversimplification. J. Exp. Psychol. Hum. Percept. Perform. 28, 396–409. doi: 10.1037/0096-1523.28.2.396

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Lien, M.-C., Schweickert, R., and Proctor, R. W. (2003). Task switching and response correspondence in the psychological refractory period paradigm. J. Exp. Psychol. Hum. Percept. Perform. 29, 692–712. doi: 10.1037/0096-1523.29.3.692

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Liepelt, R., Strobach, T., Frensch, P., and Schubert, T. (2011). Improved intertask coordination after extensive dual-task practice. Q. J. Exp. Psychol. 64, 1251–1272. doi: 10.1080/17470218.2010.543284

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Logan, G. D., and Gordon, R. D. (2001). Executive control of visual attention in dual-task situations. Psychol. Rev. 108, 393–434. doi: 10.1037/0033-295X.108.2.393

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Logan, G. D., and Schulkind, M. D. (2000). Parallel memory retrieval in dual-task situations: I. Semantic memory. J. Exp. Psychol. Hum. Percept. Perform. 26, 1072–1090. doi: 10.1037/0096-1523.26.3.1072

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Luria, R., and Meiran, N. (2003). Online order control in the psychological refractory period paradigm. J. Exp. Psychol. Hum. Percept. Perform. 29, 556. doi: 10.1037/0096-1523.29.3.556

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Luria, R., and Meiran, N. (2005). Increased control demand results in serial processing evidence from dual-task performance. Psychol. Sci. 16, 833–840. doi: 10.1111/j.1467-9280.2005.01622.x

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Luria, R., and Meiran, N. (2006). Dual route for subtask order control: evidence from the psychological refractory paradigm. Q. J. Exp. Psychol. 59, 720–744. doi: 10.1080/02724980543000060

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Meyer, D. E., and Kieras, D. E. (1997). A computational theory of executive cognitive processes and multiple-task performance: Part 2. Accounts of psychological refractory-period phenomena. Psychol. Rev. 104, 749–791. doi: 10.1037/0033-295X.104.4.749

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Miller, J., and Ulrich, R. (2008). Bimanual response grouping in dual-task paradigms. Q. J. Exp. Psychol. 61, 999–1019. doi: 10.1080/17470210701434540

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Navon, D., and Gopher, D. (1979). On the economy of the human-processing system. Psychol. Rev. 86, 214–255. doi: 10.1037/0033-295X.86.3.214

CrossRef Full Text | Google Scholar

Navon, D., and Miller, J. (2002). Queuing or sharing? A critical evaluation of the single-bottleneck notion. Cogn. Psychol. 44, 193–251. doi: 10.1006/cogp.2001.0767

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Norman, D. A., and Bobrow, D. G. (1975). On data-limited and resource-limited processes. Cogn. Psychol. 7, 44–64. doi: 10.1016/0010-0285(75)90004-3

CrossRef Full Text | Google Scholar

Osman, A., and Moore, C. M. (1993). The locus of dual-task interference: psychological refractory effects on movement-related brain potentials. J. Exp. Psychol. Hum. Percep. Perform. 19, 1292–1312.

Google Scholar

Pashler, H. (1984). Processing stages in overlapping tasks: evidence for a central bottleneck. J. Exp. Psychol. Hum. Percept. Perform. 10, 358–377. doi: 10.1037/0096-1523.10.3.358

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Pashler, H. (1994). Dual-task interference in simple tasks: data and theory. Psychol. Bull. 116, 220–244. doi: 10.1037/0033-2909.116.2.220

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Pashler, H. (2000). “Task switching and multitask performance,” in Attention and Performance, XVIII: Control of Mental Processes, eds S. Monsell, and J. Driver (Cambridge, MA: MIT Press).

Google Scholar

Pashler, H. and Johnston, J. (1989). Chronometric evidence for central postponement in temporally overlapping tasks. Q. J. Exp. Psychol. 41A, 19–45.

Google Scholar

Pashler, H., and Johnston, J. C. (1998). “Attentional limitations in dual-task performance,” in Attention, ed. H. Pashler (Psychology Press/Erlbaum (Uk) Taylor & Francis: Hove), 155–189.

Google Scholar

Ruthruff, E. and Pashler, H. E. (2001). “Perceptual and central interference in dual-task performance,” in Temporal Constraints on Human Information Processing, ed. K. Shapiro (New York: Oxford University Press), 100–123.

Google Scholar

Schubert, T. (1996). Interference during the simultaneous performance of two tasks. Z. Exp. Psychol. 4, 625–656.

Google Scholar

Schubert, T. (1999). Processing differences between simple and choice reaction affect bottleneck localization in overlapping tasks. J. Exp. Psychol. Hum. Percept. Perform. 25, 408–425. doi: 10.1037/0096-1523.25.2.408

CrossRef Full Text | Google Scholar

Schubert, T. (2008). The central attentional limitation and executive control. Front. Biosci. 13, 3569–3580. doi: 10.2741/2950

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Schubert, T., Fischer, R., and Stelzel, C. (2008). Response activation in overlapping tasks and the response selection bottleneck. J. Exp. Psychol. Hum. Percept. Perform. 34, 376–397. doi: 10.1037/0096-1523.34.2.376

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Shin, Y.-K., Cho, Y.-S., Lien, M.-C., and Proctor, R. W. (2007). Is the psychological refractory period effect for ideomotor compatible tasks eliminated by speed-emphasis instructions? Psychol. Res. 71, 553–567. doi: 10.1007/s00426-006-0066-2

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Sigman, M., and Dehaene, S. (2006). Dynamics of the central bottleneck: dual-task and task uncertainty. PLoS Biol. 4:e220. doi: 10.1371/journal.pbio.0040220

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Strobach, T., Frensch, P. A., and Schubert, T. (2012a). Video game practice optimizes executive control skills in dual-task and task switching situations. Acta Psychol. 140, 13–24. doi: 10.1016/j.actpsy.2012.02.001

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Strobach, T., Frensch, P. A., Soutschek, A., and Schubert, T. (2012b). Investigation on the improvement and transfer of dual-task coordination skills. Psychol. Res. 76, 794–811. doi: 10.1007/s00426-011-0381-0

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Strobach, T., Liepelt, R., Pashler, H., Frensch, P. A., and Schubert, T. (2013). Effects of extensive dual-task practice on processing stages in simultaneous choice tasks. Atten. Percept. Psychophys. 75, 900–920. doi: 10.3758/s13414-013-0451-z

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Strobach, T., Salminen, T., Karbach, J., and Schubert, T. (2014). Practice-related optimization and transfer of executive functions: a general review and a specific realization of their mechanisms in dual tasks. Psychol. Res. 78, 836–851. doi: 10.1007/s00426-014-0563-7

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Szameitat, A. J., Lepsien, J., Von Cramon, D. Y., Sterr, A., and Schubert, T. (2006). Task-order coordination in dual-task performance and the lateral prefrontal cortex: an event-related fMRI study. Psychol. Res. 70, 541–552. doi: 10.1007/s00426-005-0015-5

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Telford, C. W. (1931). The refractory phase of voluntary and associative responses. J. Exp. Psychol. 14, 1–36.

Google Scholar

Töllner, T., Strobach, T., Schubert, T., and Müller, H. J. (2012). The effect of task order predictability in audio-visual dual task performance: just a central capacity limitation? Front. Integr. Neurosci. 6:75. doi: 10.3389/fnint.2012.00075

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Tombu, M., and Jolicœur, P. (2002). All-or-none bottleneck versus capacity sharing accounts of the psychological refractory period phenomenon. Psychol. Res. 66, 274–286. doi: 10.1007/s00426-002-0101-x

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Tombu, M., and Jolicœur, P. (2003). A central capacity sharing model of dual-task performance. J. Exp. Psychol. Hum. Percept. Perform. 29, 3–18. doi: 10.1037/0096-1523.29.1.3

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Umiltà, C., Nicoletti, R., Simion, F., Tagliabue, M. E., and Bagnara, S. (1992). The cost of a strategy. Eur. J. Cogn. Psychol. 4, 21–40. doi: 10.1080/09541449208406241

CrossRef Full Text | Google Scholar

Vince, M. (1949). Rapid response sequences and the psychological refractory period. Br. J. of Psychol. 40, 23–40.

Pubmed Abstract | Pubmed Full Text | Google Scholar

Welford, A. T. (1952). The psychological refractory period and the timing of high speed performance—a review and a theory. Br. J. Psychol. 43, 2–19. doi: 10.1111/j.2044-8295.1952.tb00322.x

CrossRef Full Text | Google Scholar

Wickens, C. D. (1980). “The structure of attentional resources,” in Attention and Performance VIII, ed. R. Nickerson (Hillsdale NJ: Lawrence Erlbaum Associates).

Google Scholar

Wickens, C. D. (2002). Multiple resources and performance prediction. Theor. Issues Ergon. Sci. 3, 159–177. doi: 10.1080/14639220210123806

CrossRef Full Text | Google Scholar

Zwosta, K., Hommel, B., Goschke, T., and Fischer, R. (2013). Mood states determine the degree of task shielding in dual-task performance. Cogn. Emot. 27, 1142–1152. doi: 10.1080/02699931.2013.772047

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Appendix

Allen, P. A., Lien, M., Murphy, M. D., Sanders, R. E., Judge, K. S., and McCann, R. S. (2002). Age differences in overlapping-task performance: evidence for efficient parallel processing in older adults. Psychol. Aging 17, 505–519. doi: 10.1037/0882-7974.17.3.505

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Allen, P. A., Ruthruff, E., Elicker, J. D., and Lien, M. (2009). Multisession, dual-task psychological refractory period practice benefits older and younger adults equally. Exp. Aging Res. 35, 369–399. doi: 10.1080/03610730903175766

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Allen, P. A., Smith, A. F., Vires-Collins, H., and Sperry, S. (1998). The psychological refractory period: evidence for age differences in attentional time-sharing. Psychol. Aging 13, 218–229. doi: 10.1037/0882-7974.13.2.218

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Arnell, K. M., and Duncan, J. (2002). Separate and shared sources of dual-task cost in stimulus identification and response selection. Cogn. Psychol. 44, 105–147. doi: 10.1006/cogp.2001.0762

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Arnell, K. M., Helion, A. M., Hurdelbrink, J. A., and Pasieka, B. (2004). Dissociating sources of dual-task interference using human electrophysiology. Psychon. Bull. Rev. 11, 77–83. doi: 10.3758/BF03206464

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Band, G. P. H., and van Nes, F. T. (2006). Reconfiguration and the bottleneck: does task switching affect the refractory period effect? Eur. J. Cogn. Psychol. 18, 593–623. doi: 10.1080/09541440500423244

CrossRef Full Text | Google Scholar

Bausenhart, K. M., Rolke, B., Hackley, S. A., and Ulrich, R. (2006). The locus of temporal preparation effects: evidence from the psychological refractory period paradigm. Psychon. Bull. Rev. 13, 536–542. doi: 10.3758/BF03193882

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Besner, D., Mike, R., and O’Malley, S. (2009). When underadditivity of factor effects in the psychological refractory period paradigm implies a bottleneck: evidence from psycholinguistics. Q. J. Exp. Psychol. 62, 2222–2234. doi: 10.1080/17470210902747187

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Brisson, B., and Jolicoeur, P. (2007a). A psychological refractory period in access to visual short-term memory and the deployment of visual-spatial attention: multitasking processing deficits revealed by event-related potentials. Psychophysiology 44, 323–333. doi: 10.1111/j.1469-8986.2007.00503.x

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Brisson, B., and Jolicoeur, P. (2007b). Electrophysiological evidence of central interference in the control of visuospatial attention. Psychon. Bull. Rev. 14, 126–132. doi: 10.3758/BF03194039

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Brisson, B., Leblanc, E., and Jolicoeur, P. (2009). Contingent capture of visual-spatial attention depends on capacity-limited central mechanisms: evidence from human electrophysiology and the psychological refractory period. Biol. Psychol. 80, 218–225. doi: 10.1016/j.biopsycho.2008.10.001

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Carrier, L. M., and Pashler, H. (1995). Attentional limits in memory retrieval. J. Exp. Psychol. Learn. Mem. Cogn. 21, 1339–1348. doi: 10.1037/0278-7393.21.5.1339

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Cleland, A. A., Gaskell, M. G., Quinlan, P. T., and Tamminen, J. (2006). Frequency effects in spoken and visual word recognition: evidence from dual-task methodologies. J. Exp. Psychol. Hum. Percept. Perform. 32, 104–119. doi: 10.1037/0096-1523.32.1.104

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Corriveau, I., Fortier-Gauthier, U., Pomerleau, V. J., McDonald, J., Dell’Acqua, R., and Jolicoeur, P. (2012). Electrophysiological evidence of multitasking impairment of attentional deployment reflects target-specific processing, not distractor inhibition. Int. J. Psychophysiol. 86, 152–159. doi: 10.1016/j.ijpsycho.2012.06.005

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Crebolder, J. M., Jolicoeur, P., and McIlwaine, J. D. (2002). Loci of signal probability effects and of the attentional blink bottleneck. J. Exp. Psychol. Hum. Percept. Perform. 28, 695–716. doi: 10.1037/0096-1523.28.3.695

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Dell’Acqua, R., Turatto, M., and Jolicoeur, P. (2001). Cross-modal attentional deficits in processing tactile stimulation. Percept. Psychophys. 63, 777–789. doi: 10.3758/BF03194437

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Dent, K., Johnston, R. A., and Humphreys, G. W. (2008). Age of acquisition and word frequency effects in picture naming: a dual-task investigation. J. Exp. Psychol. Learn. Mem. Cogn. 34, 282–301. doi: 10.1037/0278-7393.34.2.282

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Fan, Z., Singh, K., Muthukumaraswamy, S., Sigman, M., Dehaene, S., and Shapiro, K. (2012). The cost of serially chaining two cognitive operations. Psychol. Res. 76, 566–578. doi: 10.1007/s00426-011-0375-y

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Fernández, S. R., Leonhard, T., Rolke, B., and Rolf, U. (2011). Processing two tasks with varying task order: central stage duration influences central processing order. Acta Psychol. 137, 10–17. doi: 10.1016/j.actpsy.2011.01.016

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Fischer, R., Miller, J., and Schubert, T. (2007). Evidence for parallel semantic memory retrieval in dual tasks. Mem. Cogn. 35, 1685–1699. doi: 10.3758/BF03193502

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Fischer, R., and Schubert, T. (2008). Valence processing bypassing the response selection bottleneck? Evidence from the psychological refractory period paradigm. Exp. Psychol. 55, 203–211. doi: 10.1027/1618-3169.55.3.203

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Gaskell, M. G., Quinlan, P. T., Tamminen, J., and Cleland, A. A. (2008). The nature of phoneme representation in spoken word recognition. J. Exp. Psychol. Gen. 137, 282–302. doi: 10.1037/0096-3445.137.2.282

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Glass, J. M., Schumacher, E. H., Lauber, E. J., Zubriggen, E. L., Gmeindl, L., Kieras, D. E., et al. (2000). Aging and the psychological refractory period: task-coordination strategies in young and old adults. Psychol. Aging 15, 571–595. doi: 10.1037/0882-7974.15.4.571

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Green, C., Johnston, J. C., and Ruthruff, E. (2011). Attentional limits in memory retrieval—revisited. J. Exp. Psychol. Hum. Percept. Perform. 37, 1083–1098. doi: 10.1037/a0023095

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Hartley, A. A., Maquestiaux, F., Brooks, R. D., Festini, S. B., and Frazier, K. (2012). Electrodermal responses to sources of dual-task interference. Cogn. Affect. Behav. Neurosci. 12, 543–556. doi: 10.3758/s13415-012-0094-x

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Hazeltine, E., and Ruthruff, E. (2006). Modality pairing effects and the response selection bottleneck. Psychol. Res. 70, 504–513. doi: 10.1007/s00426-005-0017-3

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Heil, M., Wahl, K., and Herbst, M. (1999). Mental rotation, memory scanning, and the central bottleneck. Psychol. Res. 62, 48–61. doi: 10.1007/s004260050039

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Hein, G., and Schubert, T. (2004). Aging and input processing in dual-task situations. Psychol. Aging 19, 416–432. doi: 10.1037/0882-7974.19.3.416

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Hesselmann, G., Flandin, G., and Dehaene, S. (2011). Probing the cortical network underlying the psychological refractory period: a combined EEG–fMRI study. Neuroimage 56, 1608–1621. doi: 10.1016/j.neuroimage.2011.03.017

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Hibberd, D. L., Jamson, S., and Carsten, O. M. J. (2013). Mitigating the effects of in-vehicle distractions through use of the Psychological Refractory Period paradigm. Accid. Anal. Prev. 50, 1096–1103. doi: 10.1016/j.aap.2012.08.016

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Janczyk, M., Franz, V. H., and Kunde, W. (2010). Grasping for parsimony: do some motor actions escape dorsal processing? Neuropsychologia 48, 3405–3415. doi: 10.1016/j.neuropsychologia.2010.06.034

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Janczyk, M., and Kunde, W. (2010). Does dorsal processing require central capacity? More evidence from the PRP paradigm. Exp. Brain Res. 203, 89–100. doi: 10.1007/s00221-010-2211-9

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Jentzsch, I., Leuthold, H., and Ulrich, R. (2007). Decomposing sources of response slowing in the PRP paradigm. J. Exp. Psychol. Hum. Percept. Perform. 33, 610–626. doi: 10.1037/0096-1523.33.3.610

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Jiang, Y., Saxe, R., and Kanwisher, N. (2004). Functional magnetic resonance imaging provides new constraints on theories of the psychological refractory period. Psychol. Sci. 15, 390–396. doi: 10.1111/j.0956-7976.2004.00690.x

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Jolicoeur, P., and Dell’Acqua, R. (1999). Attentional and structural constraints on visual encoding. Psychol. Res. 62, 154–164. doi: 10.1007/s004260050048

CrossRef Full Text | Google Scholar

Klapötke, S., Krüger, D., and Mattler, U. (2011). A PRP-study to determine the locus of target priming effects. Conscious. Cogn. 20, 882–900. doi: 10.1016/j.concog.2011.04.008

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Krüger, D., Klapötke, S., and Mattler, U. (2011). PRP-paradigm provides evidence for a perceptual origin of the negative compatibility effect. Conscious. Cogn. 20, 866–881. doi: 10.1016/j.concog.2010.09.014

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Kunde, W., Landgraf, F., Paelecke, M., and Kiesel, A. (2007). Dorsal and ventral processing under dual-task conditions. Psychol. Sci. 18, 100–104. doi: 10.1111/j.1467-9280.2007.01855.x

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Kunde, W., Pfister, R., and Janczyk, M. (2012). The locus of tool-transformation costs. J. Exp. Psychol. Hum. Percept. Perform. 38, 703–714. doi: 10.1037/a0026315

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Lawson, R., Humphreys, G. W., and Jolicoeur, P. (2000). The combined effects of plane disorientation and foreshortening on picture naming: one manipulation or two? J. Exp. Psychol. Hum. Percept. Perform. 26, 568–581. doi: 10.1037/0096-1523.26.2.568

CrossRef Full Text | Google Scholar

Leonhard, T., Fernández, S. R., Ulrich, R., and Miller, J. (2011). Dual-task processing when task 1 is hard and task 2 is easy: reversed central processing order? J. Exp. Psychol. Hum. Percept. Perform. 37, 115–136. doi: 10.1037/a0019238

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Levy, J., Pashler, H., and Boer, E. (2006). Central interference in driving: is there any stopping the psychological refractory period? Psychol. Sci. 17, 228–235. doi: 10.1111/j.1467-9280.2006.01690.x

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Lien, M., Croswaite, K., and Ruthruff, E. (2011). Controlling spatial attention without central attentional resources: evidence from event-related potentials. Vis. Cogn. 19, 37–78. doi: 10.1080/13506285.2010.491643

CrossRef Full Text | Google Scholar

Lien, M., McCann, R. S., Ruthruff, E., and Proctor, R. W. (2005). Dual-task performance with ideomotor-compatible tasks: is the central processing bottleneck intact, bypassed, or shifted in locus? J. Exp. Psychol. Hum. Percept. Perform. 31, 122–144. doi: 10.1037/0096-1523.31.1.122

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Lien, M., Proctor, R. W., and Allen, P. A. (2002). Ideomotor compatibility in the psychological refractory period effect: 29 years of oversimplification. J. Exp. Psychol. Hum. Percept. Perform. 28, 396–409. doi: 10.1037/0096-1523.28.2.396

CrossRef Full Text | Google Scholar

Lien, M., Schweickert, R., and Proctor, R. W. (2003). Task switching and response correspondence in the psychological refractory period paradigm. J. Exp. Psychol. Hum. Percept. Perform. 29, 692–712. doi: 10.1037/0096-1523.29.3.692

CrossRef Full Text | Google Scholar

Luria, R., and Meiran, N. (2003). Online order control in the psychological refractory period paradigm. J. Exp. Psychol. Hum. Percept. Perform. 29, 556–574. doi: 10.1037/0096-1523.29.3.556

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Luria, R., and Meiran, N. (2006). Dual route for subtask order control: evidence from the psychological refractory paradigm. Q. J. Exp. Psychol. 59, 720–744. doi: 10.1080/02724980543000060

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Magen, H., and Cohen, A. (2005). Location specificity in response selection processes for visual stimuli. Psychon. Bull. Rev. 12, 541–548. doi: 10.3758/BF03193802

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Magen, H., and Cohen, A. (2010). Modularity beyond perception: evidence from the PRP paradigm. J. Exp. Psychol. Hum. Percept. Perform. 36, 395–414. doi: 10.1037/a0017174

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Maquestiaux, F., Lague-Beauvais, M., Ruthruff, E., and Bherer, L. (2008). Bypassing the central bottleneck after single-task practice in the psychological refractory period paradigm: evidence for task automatization and greedy resource recruitment. Mem. Cogn. 36, 1262–1282. doi: 10.3758/MC.36.7.1262

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Maquestiaux, F., Lague-Beauvais, M., Ruthruff, E., Hartley, A., and Bherer, L. (2010). Learning to bypass the central bottleneck: declining automaticity with advancing age. Psychol. Aging 25, 177–192. doi: 10.1037/a0017122

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Miller, J. (2006). Backward crosstalk effects in psychological refractory period paradigms: effects of second-task response types on first-task response latencies. Psychol. Res. 70, 484–493. doi: 10.1007/s00426-005-0011-9

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Miller, J., and Alderton, M. (2006). Backward response-level crosstalk in the psychological refractory period paradigm. J. Exp. Psychol. Hum. Percept. Perform. 32, 149–165. doi: 10.1037/0096-1523.32.1.149

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Miller, J., and Reynolds, A. (2003). The locus of redundant-targets and nontargets effects: evidence from the psychological refractory period paradigm. J. Exp. Psychol. Hum. Percept. Perform. 29, 1126–1142. doi: 10.1037/0096-1523.29.6.1126

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Miller, J., Ulrich, R., and Rolke, B. (2009). On the optimality of serial and parallel processing in the psychological refractory period paradigm: effects of the distribution of stimulus onset asynchronies. Cogn. Psychol. 58, 273–310. doi: 10.1016/j.cogpsych.2006.08.003

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Müller, D., and Schwarz, W. (2007). Exploring the mental number line: evidence from a dual-task paradigm. Psychol. Res. 71, 598–613. doi: 10.1007/s00426-006-0070-6

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

O’Malley, S., Reynolds, M. G., Stolz, J. A., and Besner, D. (2008). Reading aloud: spelling-sound translation uses central attention. J. Exp. Psychol. Learn. Mem. Cogn. 34, 422–429. doi: 10.1037/0278-7393.34.2.422

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Oriet, C., and Jolicoeur, P. (2003). Absence of perceptual processing during reconfiguration of task set. J. Exp. Psychol. Hum. Percept. Perform. 29, 1036–1049. doi: 10.1037/0096-1523.29.5.1036

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Oriet, C., and Jolicoeur, P. (2008). Differential central resource demands of memory scanning and visual search: the role of consistent and varied mapping. Vis. Cogn. 16, 514–551. doi: 10.1080/13506280701252108

CrossRef Full Text | Google Scholar

Osman, A., and Moore, C. M. (1993). The locus of dual-task interference: psychological refractory effects on movement-related brain potentials. J. Exp. Psychol. Hum. Percept. Perform. 19, 1292–1312. doi: 10.1037/0096-1523.19.6.1292

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Paelecke, M., and Kunde, W. (2007). Action-effect codes in and before the central bottleneck: evidence from the psychological refractory period paradigm. J. Exp. Psychol. Hum. Percept. Perform. 33, 627–644. doi: 10.1037/0096-1523.33.3.627

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Pannebakker, M. M., Band, G. P. H., and Ridderinkhof, K. R. (2009). Operation compatibility: a neglected contribution to dual-task costs. J. Exp. Psychol. Hum. Percept. Perform. 35, 447–460. doi: 10.1037/a0013029

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Pashler, H., Harris, C. R., and Nuechterlein, K. H. (2008). Does the central bottleneck encompass voluntary selection of hedonically based choices? Exp. Psychol. 55, 313–321. doi: 10.1027/1618-3169.55.5.313

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Pollock, J. W., Khoja, N., Kaut, K. P., Lien, M., and Allen, P. A. (2012). Electrophysiological evidence for adult age-related sparing and decrements in emotion perception and attention. Front. Integr. Neurosci. 6:60. doi: 10.3389/fnint.2012.00060

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Ricciardelli, P., and Turatto, M. (2011). Is attention necessary for perceiving gaze direction? It depends on how you look at it: evidence from the locus-of-slack method. Vis. Cogn. 19, 154–170. doi: 10.1080/13506285.2010.514140

CrossRef Full Text | Google Scholar

Richards, E., Tombu, M., Stolz, J. A., and Jolicoeur, P. (2004). Features of perception: exploring the perception of change in a psychological refractory period paradigm. Vis. Cogn. 11, 751–780. doi: 10.1080/13506280344000509

CrossRef Full Text | Google Scholar

Ruthruff, E., Hazeltine, E., and Remington, R. W. (2006). What causes residual dual-task interference after practice? Psychol. Res. 70, 494–503. doi: 10.1007/s00426-005-0012-8

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Ruthruff, E., Johnston, J. C., and Van Selst, M. (2001). Why practice reduces dual-task interference. J. Exp. Psychol. Hum. Percept. Perform. 27, 3–21. doi: 10.1037/0096-1523.27.1.3

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Ruthruff, E., Miller, J., and Lachmann, T. (1995). Does mental rotation require central mechanisms? J. Exp. Psychol. Hum. Percept. Perform. 21, 552–570. doi: 10.1037/0096-1523.21.3.552

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Ruthruff, E., Pashler, H. E., and Hazeltine, E. (2003). Dual-task interference with equal task emphasis: graded capacity sharing or central postponement? Percept. Psychophys. 65, 801–816. doi: 10.3758/BF03194816

CrossRef Full Text | Google Scholar

Schnur, T. T., and Martin, R. (2012). Semantic picture–word interference is a postperceptual effect. Psychon. Bull. Rev. 19, 301–308. doi: 10.3758/s13423-011-0190-x

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Schubert, T., Fischer, R., and Stelzel, C. (2008). Response activation in overlapping tasks and the response-selection bottleneck. J. Exp. Psychol. Hum. Percept. Perform. 34, 376–397. doi: 10.1037/0096-1523.34.2.376

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Schuch, S., and Koch, I. (2004). The costs of changing the representation of action: response repetition and response-response compatibility in dual tasks. J. Exp. Psychol. Hum. Percept. Perform. 30, 566–582. doi: 10.1037/0096-1523.30.3.566

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Schumacher, E. H., Lauber, E. J., Glass, J. M., Zubriggen, E. L., Gmeindl, L., Kieras, D. E., et al. (1999). Concurrent response-selection processes in dual-task performance: evidence for adaptive executive control of task scheduling. J. Exp. Psychol. Hum. Percept. Perform. 25, 791–814. doi: 10.1037/0096-1523.25.3.791

CrossRef Full Text | Google Scholar

Schumacher, E. H., and Schwarb, H. (2009). Parallel response selection disrupts sequence learning under dual-task conditions. J. Exp. Psychol. Gen. 138, 270–290. doi: 10.1037/a0015378

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Shin, Y., Kyoung, C., Yang Seok Lien, M., and Proctor, R. W. (2007). Is the psychological refractory period effect for ideomotor compatible tasks eliminated by speed-stress instructions? Psychol. Res. 71, 553–567. doi: 10.1007/s00426-006-0066-2

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Shin, Y., and Proctor, R. W. (2008). Are spatial responses to visuospatial stimuli and spoken responses to auditory letters ideomotor-compatible tasks? Examination of set-size effects on dual-task interference. Acta Psychol. 129, 352–364. doi: 10.1016/j.actpsy.2008.09.001

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Stelzel, C., and Schubert, T. (2011). Interference effects of stimulus–response modality pairings in dual tasks and their robustness. Psychol. Res. 75, 476–490. doi: 10.1007/s00426-011-0368-x

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Töllner, T., Strobach, T., Schubert, T., and Müller, H. J. (2012). The effect of task order predictability in audio-visual dual task performance: just a central capacity limitation? Front. Integr. Neurosci. 6:75. doi: 10.3389/fnint.2012.00075

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Tombu, M., and Jolicoeur, P. (2002a). All-or-none bottleneck versus capacity sharing accounts of the psychological refractory period phenomenon. Psychol. Res. 66, 274–286. doi: 10.1007/s00426-002-0101-x

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Tombu, M., and Jolicoeur, P. (2002b). Does size rescaling require central attention? Can. J. Exp. Psychol. 56, 10–17. doi: 10.1037/h0087381

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Tombu, M., and Jolicoeur, P. (2005). Testing the predictions of the central capacity sharing model. J. Exp. Psychol. Hum. Percept. Perform. 31, 790–802. doi: 10.1037/0096-1523.31.4.790

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Ulrich, R., Fernández, S. R., Jentzsch, I., Rolke, B., Schröter, H., and Leuthold, H. (2006). Motor limitation in dual-task processing under ballistic movement conditions. Psychol. Sci. 17, 788–793. doi: 10.1111/j.1467-9280.2006.01783.x

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Vachon, F., and Jolicoeur, P. (2012). On the automaticity of semantic processing during task switching. J. Cogn. Neurosci. 24, 611–626. doi: 10.1162/jocn_a_00149

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Vu, K. L., and Proctor, R. W. (2006). Emergent perceptual features in the benefit of consistent stimulus-response mappings on dual-task performance. Psychol. Res. 70, 468–483. doi: 10.1007/s00426-005-0021-7

Pubmed Abstract | Pubmed Full Text | CrossRef Full Text | Google Scholar

Keywords: PRP, dual tasks, capacity limitation, central bottleneck theory, reaction times, error data

Citation: Strobach T, Schütz A and Schubert T (2015) On the importance of Task 1 and error performance measures in PRP dual-task studies. Front. Psychol. 6:403. doi: 10.3389/fpsyg.2015.00403

Received: 21 October 2014; Accepted: 22 March 2015;
Published: 07 April 2015.

Edited by:

Hannes Ruge, Technische Universität Dresden, Germany

Reviewed by:

Eliot Hazeltine, University of Iowa, USA
Rico Fischer, Technische Universität Dresden, Germany

Copyright © 2015 Strobach, Schütz and Schubert. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Tilo Strobach, Department of Psychology, Humboldt University Berlin, Rudower Chaussee 18, 12489 Berlin, Germany tilo.strobach@hu-berlin.de

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