Identification of Language-Induced Mental Load from Eye Behaviors in Virtual Reality.

ABSTRACT: Experiences of virtual reality (VR) can easily break if the method of evaluating subjective user states is intrusive. Behavioral measures are increasingly used to avoid this problem. One such measure is eye tracking, which recently became more standard in VR and is often used for content-dependent analyses. This research is an endeavor to utilize content-independent eye metrics, such as pupil size and blinks, for identifying mental load in VR users. We generated mental load independently from visuals through auditory stimuli. We also defined and measured a new eye metric, focus offset, which seeks to measure the phenomenon of "staring into the distance" without focusing on a specific surface. In the experiment, VR-experienced participants listened to two native and two foreign language sti

SUBMITTER: Schirm J 

PROVIDER: S-EPMC10422404 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature