Literature DB >> 19910658

Estimation of detection thresholds for redirected walking techniques.

Frank Steinicke1, Gerd Bruder, Jason Jerald, Harald Frenz, Markus Lappe.   

Abstract

In immersive virtual environments (IVEs), users can control their virtual viewpoint by moving their tracked head and walking through the real world. Usually, movements in the real world are mapped one-to-one to virtual camera motions. With redirection techniques, the virtual camera is manipulated by applying gains to user motion so that the virtual world moves differently than the real world. Thus, users can walk through large-scale IVEs while physically remaining in a reasonably small workspace. In psychophysical experiments with a two-alternative forced-choice task, we have quantified how much humans can unknowingly be redirected on physical paths that are different from the visually perceived paths. We tested 12 subjects in three different experiments: (E1) discrimination between virtual and physical rotations, (E2) discrimination between virtual and physical straightforward movements, and (E3) discrimination of path curvature. In experiment E1, subjects performed rotations with different gains, and then had to choose whether the visually perceived rotation was smaller or greater than the physical rotation. In experiment E2, subjects chose whether the physical walk was shorter or longer than the visually perceived scaled travel distance. In experiment E3, subjects estimate the path curvature when walking a curved path in the real world while the visual display shows a straight path in the virtual world. Our results show that users can be turned physically about 49 percent more or 20 percent less than the perceived virtual rotation, distances can be downscaled by 14 percent and upscaled by 26 percent, and users can be redirected on a circular arc with a radius greater than 22 m while they believe that they are walking straight.

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Year:  2010        PMID: 19910658     DOI: 10.1109/TVCG.2009.62

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  7 in total

1.  Multisensory integration in the estimation of walked distances.

Authors:  Jennifer L Campos; John S Butler; Heinrich H Bülthoff
Journal:  Exp Brain Res       Date:  2012-03-13       Impact factor: 1.972

2.  Contributions of visual and proprioceptive information to travelled distance estimation during changing sensory congruencies.

Authors:  Jennifer L Campos; John S Butler; Heinrich H Bülthoff
Journal:  Exp Brain Res       Date:  2014-06-25       Impact factor: 1.972

3.  Scene-Motion Thresholds During Head Yaw for Immersive Virtual Environments.

Authors:  Jason Jerald; Mary Whitton; Frederick P Brooks
Journal:  ACM Trans Appl Percept       Date:  2012-03       Impact factor: 1.550

4.  Using visuo-kinetic virtual reality to induce illusory spinal movement: the MoOVi Illusion.

Authors:  Daniel S Harvie; Ross T Smith; Estin V Hunter; Miles G Davis; Michele Sterling; G Lorimer Moseley
Journal:  PeerJ       Date:  2017-02-22       Impact factor: 2.984

5.  Natural locomotion based on a reduced set of inertial sensors: Decoupling body and head directions indoors.

Authors:  Ernesto de la Rubia; Antonio Diaz-Estrella; Arcadio Reyes-Lecuona; Alyson Langley; Michael Brown; Sarah Sharples
Journal:  PLoS One       Date:  2018-04-05       Impact factor: 3.240

6.  Augmented rotations in virtual reality for users with a reduced range of head movement.

Authors:  Nahal Norouzi; Luke Bölling; Gerd Bruder; Greg Welch
Journal:  J Rehabil Assist Technol Eng       Date:  2019-05-21

7.  Visual capture of gait during redirected walking.

Authors:  Yannick Rothacher; Anh Nguyen; Bigna Lenggenhager; Andreas Kunz; Peter Brugger
Journal:  Sci Rep       Date:  2018-12-19       Impact factor: 4.379

  7 in total

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