Benutzer: Gast  Login

Titel:

Eye-Tracking-Based Prediction of User Experience in VR Locomotion Using Machine Learning

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Gao, Hong; Kasneci, Enkelejda
Abstract:
Abstract VR locomotion is one of the most important design features of VR applications and is widely studied. When evaluating locomotion techniques, user experience is usually the first consideration, as it provides direct insights into the usability of the locomotion technique and users' thoughts about it. In the literature, user experience is typically measured with post-hoc questionnaires or surveys, while users' behavioral (i.e., eye-tracking) data during locomotion, which can reveal deeper...     »
Stichworte:
CCS Concepts, • Computing methodologies → Classification and regression trees, • Human-centered computing → Empirical studies in HCI, Virtual reality
Zeitschriftentitel:
Computer Graphics Forum
Jahr:
2022
Band / Volume:
41
Heft / Issue:
7
Seitenangaben Beitrag:
589-599
Volltext / DOI:
doi:https://doi.org/10.1111/cgf.14703
WWW:
https://onlinelibrary.wiley.com/doi/abs/10.1111/cgf.14703
 BibTeX