Mu, M. and Dohan, M. (2023) Unstuck in Metaverse : Persuasive User Navigation using Automated Avatars. IEEE Communications Magazine. 61(9), pp. 56-62. 0163-6804.
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Information
Abstract:
The success of metaverse depends on technological advancements as well as human-centered designs that care for human users in fully immersive virtual environments. Without substantial spatial knowledge of the virtual environment, users can feel lost or disoriented in metaverse. This can cause distress and poor overall user experience. This paper introduces an unstuck feature that aims at guiding users out of irreconcilable situations. The feature delivers persuasive user navigation using automated avatars which were driven by machine learning models. User experiments with mobility and eye-gaze tracking have been conducted to evaluate the effectiveness of the unstuck feature.
Uncontrolled Keywords:
metaverse, user navigation, machine learning, avatars, eye gaze, mobility, virtual reality, human factors
Creators:
Mu, M. and Dohan, M.
Date:
2 October 2023
Date Type:
Publication
Page Range:
pp. 56-62
Journal or Publication Title:
IEEE Communications Magazine
Volume:
61
Number:
9
Number of Pages:
1640228
Language:
English
ISSN:
0163-6804
Status:
Published / Disseminated
Refereed:
Yes
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