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abstract

Unlimited corridor: redirected walking techniques using visuo haptic interaction

Published:24 July 2016Publication History

ABSTRACT

The main contribution is to realize an efficient redirected working (RDW) technique by utilizing haptic cues for strongly modifying our spatial perception. Some research has shown that users can be redirected on a circular arc with a radius of at least 22 m without being able to detect the inconsistency by showing a straight path in the virtual world. However, this is still too large to enable the presentation of a demonstration in a restricted space. Although most of RDW techniques only used visual stimuli, we recognize space with multi-modalities. Therefore, we propose an RDW method using the visuo-haptic interaction, and develop the system, which displays a visual representation of a flat wall and users virtually walk straight along it, although, in reality, users walk along a convex surface wall with touching it. For the demonstration, we develop the algorithm, with which we can modify the amount of distortion dynamically to make a user walk straight infinity and turn a branch freely. With this system, multiple users can walk an endless corridor in a virtual environment at the same time.

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References

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      • Published in

        cover image ACM Conferences
        SIGGRAPH '16: ACM SIGGRAPH 2016 Emerging Technologies
        July 2016
        41 pages
        ISBN:9781450343725
        DOI:10.1145/2929464

        Copyright © 2016 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

        Publication History

        • Published: 24 July 2016

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        Overall Acceptance Rate1,822of8,601submissions,21%

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