2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD) 2021
DOI: 10.1109/cscwd49262.2021.9437692
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Prospective on Eye-Tracking-based Studies in Immersive Virtual Reality

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Cited by 16 publications
(4 citation statements)
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“…Various methods and tools for tracking eye movements while using a VR headset, or a head-mounted display (HMD), have been studied and analyzed, including an eye-tracking tool, like Tobii and Pupil Labs. However, the VR environment still requires more in-depth study on eye-tracking [27], [28]. For example, Imaoka et al [29] validated the use of the VIVE Pro Eye headset as a saccadic eye movement recording tool through statistical analysis by reporting results that are within the range of previously reported studies [30].…”
Section: Related Workmentioning
confidence: 91%
“…Various methods and tools for tracking eye movements while using a VR headset, or a head-mounted display (HMD), have been studied and analyzed, including an eye-tracking tool, like Tobii and Pupil Labs. However, the VR environment still requires more in-depth study on eye-tracking [27], [28]. For example, Imaoka et al [29] validated the use of the VIVE Pro Eye headset as a saccadic eye movement recording tool through statistical analysis by reporting results that are within the range of previously reported studies [30].…”
Section: Related Workmentioning
confidence: 91%
“…In fact, eye tracking is a well-established method for assessing usability and user experience in various settings [45]. A review by Li et al confirmed that eye tracking is useful for measuring mental workload, immersion level and user experience in VR [46].…”
Section: Eye Tracking In Vrmentioning
confidence: 99%
“…Limited articles have speculated about the relationship between the sense of embodiment and user attention in VR, but it still lacks supportive evidence in the literature (Tieri et al, 2017;Cui and Mousas, 2021). Users' attention can be analyzed through the recorded eye behaviors data of users in VEs through eye tracking (Batliner et al, 2020;Li et al, 2021;Mousas et al, 2021). Large amounts of participants' eye tracking data will be collected in this study and then classify them using the K-means clustering that group information in an unsupervised way.…”
Section: Sense Of Embodimentmentioning
confidence: 99%