AUTHOR=Kasperė Ramunė , Motiejūnienė Jurgita , Patasienė Irena , Patašius Martynas , Horbačauskienė Jolita 

TITLE=Is machine translation a dim technology for its users? An eye tracking study

JOURNAL=Frontiers in Psychology

VOLUME=Volume 14 - 2023

YEAR=2023

URL=https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2023.1076379

DOI=10.3389/fpsyg.2023.1076379

ISSN=1664-1078

ABSTRACT=State of the art research shows that the impact of language technologies on public awareness and attitudes towards using machine translation has been changing (Vieira et al., 2020). As machine translation acceptability is considered to be a multilayered concept, this paper employs criteria of usability, satisfaction and quality as components of acceptability measurement (Castilho, 2016). The study seeks to determine whether there are any differences in the machine translation acceptability between professional users, i.e., translators and language editors, and non-professional users, i.e. ordinary users of machine translation who use it for non-professional everyday purposes. The main research questions whether non-professional users process raw machine translation output in the same way as professional users (inter-group comparison) and whether there is a difference in the processing of raw machine-translated output between non-professional users with different levels of acceptability and comprehension of machine--translated text (intra-group comparison) are analysed. The results of an eye-tracking experiment indicate a difference between professional and non-professional users’ cognitive processing and acceptability of machine translation output: translators and language editors spend more time overall reading the machine-translated texts, possibly because of their deeper critical awareness as well as professional attitude towards the text. In terms of acceptability overall, professional translators critically assess machine translation on all components of acceptability. 
The study was conducted within a research project that received funding from the Research Council of Lithuania (LMTLT, agreement No S-MOD-21-2), seeking to explore and evaluate the impact on society of machine translation technological solutions.