Identifying Language-induced Mental Load from Eye Behaviors in Virtual Reality

Loading...
Thumbnail Image
Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
We compared content-independent eye tracking metrics under different levels of language-induced mental load in virtual reality (VR). We designed a virtual environment to balance consistent recording of eye data with user experience and freedom of action. We also took steps towards quantifying the phenomenon of not focusing exactly on surfaces by proposing ''focus offset'' as a VR-compatible eye metric. Responses to conditions with higher mental load included larger and more variable pupil sizes and less fixations. We also observed less voluntary gazing at distraction content, and a tendency of looking through surfaces.
Description

CCS Concepts: Human-centered computing -> Virtual reality; HCI theory, concepts and models

        
@inproceedings{
10.2312:egve.20221290
, booktitle = {
ICAT-EGVE 2022 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments - Posters and Demos
}, editor = {
Theophilus Teo
and
Ryota Kondo
}, title = {{
Identifying Language-induced Mental Load from Eye Behaviors in Virtual Reality
}}, author = {
Schirm, Johannes
and
Perusquia-Hernández, Monica
and
Isoyama, Naoya
and
Uchiyama, Hideaki
and
Kiyokawa, Kiyoshi
}, year = {
2022
}, publisher = {
The Eurographics Association
}, ISSN = {
1727-530X
}, ISBN = {
978-3-03868-192-2
}, DOI = {
10.2312/egve.20221290
} }
Citation