Unstuck in Metaverse : Persuasive User Navigation using Automated Avatars

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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Mu_etal_IEEE_2023_Unstuck_in_Metaverse_Persuasive_User_Navigation_using_Automated_Avatars
Mu_etal_IEEE_2023_Unstuck_in_Metaverse_Persuasive_User_Navigation_using_Automated_Avatars.pdf - Accepted Version
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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:

Number:

Number of Pages:

Language:

English

ISSN:

0163-6804

Status:

Published / Disseminated

Refereed:

Yes