Detection Thresholds with Joint Horizontal and Vertical Gains in Redirected Jumping

Redirected jumping (RDJ) is a locomotion technique that allows users to explore a virtual space that is larger than the available physical space by imperceptibly manipulating users' virtual viewpoints according to different gains. In previous redirected jumping work, different types of gains were imposed separately, without considering the possible interaction effects of horizontal and vertical gains on the jumping distance perception. To figure out how humans perceive distance manipulation when more than one gain is used, in this paper, we explored joint horizontal and vertical gains that manipulate horizontal and vertical distances at the same time during two-legged takeoff jumping in the virtual space. We estimated and analyzed horizontal and vertical detection thresholds by conducting a user study, fitting the data to two-dimensional psychometric functions, and visualizing the fitted 3D plots. We provided quantitative insights into the effects of joint gains on detection thresholds, where the imperceptible range for one gain can be affected by the variation of the other gain. Finally, we designed redirected jumping-based games as applications with joint horizontal and vertical gains and demonstrated the effectiveness of the redirected jumping technique.

[1]  Gerd Bruder,et al.  Estimation of Detection Thresholds for Redirected Walking Techniques , 2010, IEEE Transactions on Visualization and Computer Graphics.

[2]  Stefania Serafin,et al.  Tapping-In-Place: Increasing the naturalness of immersive walking-in-place locomotion through novel gestural input , 2013, 2013 IEEE Symposium on 3D User Interfaces (3DUI).

[3]  Mary C. Whitton,et al.  15 Years of Research on Redirected Walking in Immersive Virtual Environments , 2018, IEEE Computer Graphics and Applications.

[4]  Gerd Bruder,et al.  Bending the Curve: Sensitivity to Bending of Curved Paths and Application in Room-Scale VR , 2017, IEEE Transactions on Visualization and Computer Graphics.

[5]  Eike Langbehn,et al.  Detection Thresholds for Rotation and Translation Gains in 360° Video-Based Telepresence Systems , 2018, IEEE Transactions on Visualization and Computer Graphics.

[6]  Takuji Narumi,et al.  Ascending and Descending in Virtual Reality: Simple and Safe System Using Passive Haptics , 2018, IEEE Transactions on Visualization and Computer Graphics.

[7]  C. DiMattina Fast adaptive estimation of multidimensional psychometric functions. , 2015, Journal of vision.

[8]  Tabitha C. Peck,et al.  Estimation of Rotation Gain Thresholds Considering FOV, Gender, and Distractors , 2019, IEEE Transactions on Visualization and Computer Graphics.

[9]  Robert W. Lindeman,et al.  Redirected Jumping: Perceptual Detection Rates for Curvature Gains , 2019, UIST.

[10]  Eike Langbehn,et al.  I Can See on My Feet While Walking: Sensitivity to Translation Gains with Visible Feet , 2018, 2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR).

[11]  Sharif Razzaque,et al.  Redirected Walking , 2001, Eurographics.

[12]  Luca Chittaro,et al.  Locomotion in Place in Virtual Reality: A Comparative Evaluation of Joystick, Teleport, and Leaning , 2021, IEEE Transactions on Visualization and Computer Graphics.

[13]  Robert S. Kennedy,et al.  Simulator Sickness Questionnaire: An enhanced method for quantifying simulator sickness. , 1993 .

[14]  Mary C. Whitton,et al.  GUD WIP: Gait-Understanding-Driven Walking-In-Place , 2010, 2010 IEEE Virtual Reality Conference (VR).

[15]  Katja Rogers,et al.  JumpVR: Jump-Based Locomotion Augmentation for Virtual Reality , 2020, CHI.

[16]  Yoshifumi Kitamura,et al.  JumpinVR: Enhancing Jump Experience in a Limited Physical Space , 2019, SIGGRAPH Asia XR.

[17]  Eike Langbehn,et al.  Evaluation of Locomotion Techniques for Room-Scale VR: Joystick, Teleportation, and Redirected Walking , 2018, VRIC.

[18]  Rajiv V. Dubey,et al.  Point & Teleport Locomotion Technique for Virtual Reality , 2016, CHI PLAY.

[19]  Kazuki Takashima,et al.  Redirected Jumping: Imperceptibly Manipulating Jump Motions in Virtual Reality , 2019, 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR).

[20]  Ohung Kwon,et al.  Scaled Jump in Gravity-Reduced Virtual Environments , 2017, IEEE Transactions on Visualization and Computer Graphics.

[21]  Sharif Razzaque,et al.  Comparing VE locomotion interfaces , 2005, IEEE Proceedings. VR 2005. Virtual Reality, 2005..

[22]  Uwe Kloos,et al.  Velocity-dependent dynamic curvature gain for redirected walking , 2011, 2011 IEEE Virtual Reality Conference.

[23]  Roy A. Ruddle,et al.  The benefits of using a walking interface to navigate virtual environments , 2009, TCHI.

[24]  Masahiko Inami,et al.  Virtual Super-Leaping: Immersive Extreme Jumping in VR , 2019, AH.

[25]  Takuji Narumi,et al.  Detection Thresholds for Vertical Gains in VR and Drone-based Telepresence Systems , 2020, 2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR).

[26]  Yusuke Naka,et al.  Virtual ski jump: illusion of slide down the slope and gliding , 2016, SIGGRAPH Asia Posters.

[27]  Maud Marchal,et al.  Walking up and down in immersive virtual worlds: Novel interactive techniques based on visual feedback , 2010, 2010 IEEE Symposium on 3D User Interfaces (3DUI).

[28]  Benjamin Bolte,et al.  The Jumper Metaphor: An Effective Navigation Technique for Immersive Display Setups , 2011 .

[29]  Mary C. Whitton,et al.  Walking > walking-in-place > flying, in virtual environments , 1999, SIGGRAPH.

[30]  Hiroo Iwata,et al.  The Torus Treadmill: Realizing Locomotion in VEs , 1999, IEEE Computer Graphics and Applications.

[31]  Takuji Narumi,et al.  Mobius Walker: Pitch and Roll Redirected Walking , 2018, 2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR).

[32]  Mark T. Bolas,et al.  Revisiting detection thresholds for redirected walking: combining translation and curvature gains , 2016, SAP.