2022
DOI: 10.1371/journal.pone.0278970
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Eyes on me: Investigating the role and influence of eye-tracking data on user modeling in virtual reality

Abstract: Research has shown that sensor data generated by a user during a VR experience is closely related to the user’s behavior or state, meaning that the VR user can be quantitatively understood and modeled. Eye-tracking as a sensor signal has been studied in prior research, but its usefulness in a VR context has been less examined, and most extant studies have dealt with eye-tracking within a single environment. Our goal is to expand the understanding of the relationship between eye-tracking data and user modeling … Show more

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Cited by 6 publications
(2 citation statements)
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References 62 publications
(38 reference statements)
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“…Currently, we see a strong trend to incorporate bio-behavioral metrics into VR systems (e.g., hand-and facial tracking for user interaction and avatar expressiveness, heart monitoring, eye-tracking, etc.) (33)(34)(35).…”
Section: Vr's Virtues: Realism Control and Measurement Capabilitymentioning
confidence: 99%
“…Currently, we see a strong trend to incorporate bio-behavioral metrics into VR systems (e.g., hand-and facial tracking for user interaction and avatar expressiveness, heart monitoring, eye-tracking, etc.) (33)(34)(35).…”
Section: Vr's Virtues: Realism Control and Measurement Capabilitymentioning
confidence: 99%
“…Some important measures come as a byproduct of the use of VR headsets (such as movement and orientation) and hand controllers (such as data on pointing and gripping activities). Newer hardware developments also focus on incorporating biobehavioral measurement devices into VR, such as face-tracking to study emotional expressions or heart rate, EEG, and eye-tracking measures [51][52][53].…”
Section: Introductionmentioning
confidence: 99%