About this Research Topic
When using Mixed Reality (MR) applications, humans have some difficulty perceiving the world around them; users particularly tend to underestimate egocentric distances to objects or locations in their surroundings. Although research in this problem space has identified factors that contribute to this phenomenon, it is unclear if technology designers or developers can eliminate this effect. Further, as research in this space is typically conducted in the laboratory, it is unclear how people are impacted in real-world scenarios. For instance, many controlled studies utilize protocols where users walk to a destination in action space while blindfolded, but in a mobile setting outside of the laboratory, users can be expected to leverage their vision to complete a task. Research in this domain has progressed our understanding of causes that hinder accurate perception of environments, but it is currently unclear how misperception correlates with critical measures such as task completion time, task performance, safety, and cognitive load.
With mobile MR applications rising in ubiquity — especially in critical domains such as public safety and manufacturing — it is necessary to understand how misperception of an environment affects users' performance. Therefore, in this Research Topic, we are interested in furthering our understanding of how real and virtual environment misperception impacts MR users “in the wild” or in applied domains.
We invite original submissions that contribute new knowledge in this space, particularly for applied domains such as public safety, construction, manufacturing, and healthcare. We welcome articles of all types, including (but not limited to) empirical, methodological, dataset, and theoretical contributions. Example contributions include the following:
• Identification of new factors that contribute to environment misperception
• Hardware or software design recommendations based on empirical findings
• Correlation analysis of environment misperception and critical measures including (but not limited to) task completion time, task performance, and/or cognitive load
• Systematic review of the literature in this spae / meta review of experiment results
With mobile MR applications rising in ubiquity — especially in critical domains such as public safety and manufacturing — it is necessary to understand how misperception of an environment affects users' performance. Therefore, in this Research Topic, we are interested in furthering our understanding of how real and virtual environment misperception impacts MR users “in the wild” or in applied domains.
We invite original submissions that contribute new knowledge in this space, particularly for applied domains such as public safety, construction, manufacturing, and healthcare. We welcome articles of all types, including (but not limited to) empirical, methodological, dataset, and theoretical contributions. Example contributions include the following:
• Identification of new factors that contribute to environment misperception
• Hardware or software design recommendations based on empirical findings
• Correlation analysis of environment misperception and critical measures including (but not limited to) task completion time, task performance, and/or cognitive load
• Systematic review of the literature in this spae / meta review of experiment results
Keywords: Mixed Reality, Virtual Reality, distance perception, real-world scenarios. mobile MR, safety
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
