Natural walking speed prediction in Virtual Reality while using target selection-based locomotion
Article No.: 87, Pages 1 - 3
Abstract
Travelling speed plays an essential role in the overall user experience while navigating inside a virtual environment. Researchers have used various travelling speed that matches the user speed profile in order to give a natural walking experience. However, predicting a user’s instantaneous walking speed can be challenging when there is no continuous input from the user. Target selection-based techniques are those where the user selects the target to reach there automatically. These techniques also lack naturalness due to their low interaction fidelity. In this work, we have proposed a mathematical model that can dynamically compute the instantaneous natural walking speed while moving from one point to another in a virtual environment. We formulated our model with the help of user studies.
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Published In
December 2021
563 pages
ISBN:9781450390927
DOI:10.1145/3489849
Copyright © 2021 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
New York, NY, United States
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Published: 08 December 2021
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- Department of Science and Technology
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VRST '21: 27th ACM Symposium on Virtual Reality Software and Technology
December 8 - 10, 2021
Osaka, Japan
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Overall Acceptance Rate 66 of 254 submissions, 26%
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