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Resized Grasping in VR: Estimating Thresholds for Object Discrimination

Published:17 October 2019Publication History

ABSTRACT

Previous work in VR has demonstrated how individual physical objects can represent multiple virtual objects in different locations by redirecting the user's hand. We show how individual objects can represent multiple virtual objects of different sizes by resizing the user's grasp. We redirect the positions of the user's fingers by visual translation gains, inducing an illusion that can make physical objects seem larger or smaller. We present a discrimination experiment to estimate the thresholds of resizing virtual objects from physical objects, without the user reliably noticing a difference. The results show that the size difference is easily detected when a physical object is used to represent an object less than 90% of its size. When physical objects represent larger virtual objects, however, then scaling is tightly coupled to the physical object's size: smaller physical objects allow more virtual resizing (up to a 50% larger virtual size). Resized Grasping considerably broadens the scope of using illusions to provide rich haptic experiences in virtual reality.

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References

  1. Parastoo Abtahi and Sean Follmer. 2018. Visuo-Haptic Illusions for Improving the Perceived Performance of Shape Displays. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18). ACM, New York, NY, USA, Article 150, 13 pages. DOI:http://dx.doi.org/10.1145/3173574.3173724Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Bruno Araujo, Ricardo Jota, Varun Perumal, Jia Xian Yao, Karan Singh, and Daniel Wigdor. 2016. Snake Charmer: Physically Enabling Virtual Objects. In Proceedings of the TEI '16: Tenth International Conference on Tangible, Embedded, and Embodied Interaction (TEI '16). ACM, New York, NY, USA, 218--226. DOI: http://dx.doi.org/10.1145/2839462.2839484Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Mahdi Azmandian, Mark Hancock, Hrvoje Benko, Eyal Ofek, and Andrew D. Wilson. 2016. Haptic Retargeting: Dynamic Repurposing of Passive Haptics for Enhanced Virtual Reality Experiences. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI '16). ACM, New York, NY, USA, 1968--1979. DOI: http://dx.doi.org/10.1145/2858036.2858226Google ScholarGoogle Scholar
  4. Yuki Ban, Takuji Narumi, Tomohiro Tanikawa, and Michitaka Hirose. 2014. Displaying Shapes with Various Types of Surfaces Using Visuo-haptic Interaction. In Proceedings of the 20th ACM Symposium on Virtual Reality Software and Technology (VRST '14). ACM, New York, NY, USA, 191--196. DOI: http://dx.doi.org/10.1145/2671015.2671028Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Inrak Choi, Heather Culbertson, Mark R. Miller, Alex Olwal, and Sean Follmer. 2017. Grabity: A Wearable Haptic Interface for Simulating Weight and Grasping in Virtual Reality. In Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology (UIST '17). ACM, New York, NY, USA, 119--130. DOI: http://dx.doi.org/10.1145/3126594.3126599Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Inrak Choi, Elliot W Hawkes, David L Christensen, Christopher J Ploch, and Sean Follmer. 2016. Wolverine: A wearable haptic interface for grasping in virtual reality. In 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 986--993. DOI: http://dx.doi.org/10.1109/IROS.2016.7759169Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Inrak Choi, Eyal Ofek, Hrvoje Benko, Mike Sinclair, and Christian Holz. 2018. CLAW: A Multifunctional Handheld Haptic Controller for Grasping, Touching, and Triggering in Virtual Reality. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18). ACM, New York, NY, USA, Article 654, 13 pages. DOI: http://dx.doi.org/10.1145/3173574.3174228Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Xavier de Tinguy, Claudio Pacchierotti, Maud Marchal, and Anatole Lécuyer. 2019. Toward Universal Tangible Objects: a Novel Approach to Optimize Haptic Sensations in 3D Interaction. In Proceedings of IEEE VR 2019.Google ScholarGoogle Scholar
  9. Sean Follmer, Daniel Leithinger, Alex Olwal, Akimitsu Hogge, and Hiroshi Ishii. 2013. inFORM: Dynamic Physical Affordances and Constraints Through Shape and Object Actuation. In Proceedings of the 26th Annual ACM Symposium on User Interface Software and Technology (UIST '13). ACM, New York, NY, USA, 417--426. DOI: http://dx.doi.org/10.1145/2501988.2502032Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. John W. Garrett. 1971. The adult human hand: some anthropometric and biomechanical considerations. Human factors 13, 2 (1971), 117--131.Google ScholarGoogle Scholar
  11. Anuruddha Hettiarachchi and Daniel Wigdor. 2016. Annexing Reality: Enabling Opportunistic Use of Everyday Objects As Tangible Proxies in Augmented Reality. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI '16). ACM, New York, NY, USA, 1957--1967. DOI: http://dx.doi.org/10.1145/2858036.2858134Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Sungchul Jung, Gerd Bruder, Pamela J. Wisniewski, Christian Sandor, and Charles E. Hughes. 2018. Over My Hand: Using a Personalized Hand in VR to Improve Object Size Estimation, Body Ownership, and Presence. In Proceedings of the Symposium on Spatial User Interaction (SUI '18). ACM, New York, NY, USA, 60--68. DOI:http://dx.doi.org/10.1145/3267782.3267920Google ScholarGoogle Scholar
  13. Luv Kohli. 2010. Redirected touching: Warping space to remap passive haptics. In 2010 IEEE Symposium on 3D User Interfaces (3DUI). 129--130. DOI: http://dx.doi.org/10.1109/3DUI.2010.5444703Google ScholarGoogle ScholarCross RefCross Ref
  14. Anatole Lecuyer, Sabine Coquillart, Abderrahmane Kheddar, Paul Richard, and Philippe Coiffet. 2000. Pseudo-haptic feedback: can isometric input devices simulate force feedback?. In Proceedings IEEE Virtual Reality 2000 (Cat. No.00CB37048). 83--90. DOI: http://dx.doi.org/10.1109/VR.2000.840369Google ScholarGoogle ScholarCross RefCross Ref
  15. Jaeyeon Lee, Mike Sinclair, Mar Gonzalez-Franco, Eyal Ofek, and Christian Holz. 2019. TORC: A Virtual Reality Controller for In-Hand High-Dexterity Finger Interaction. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI '19). ACM, New York, NY, USA, Article 71, 13 pages. DOI: http://dx.doi.org/10.1145/3290605.3300301Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Pedro Lopes, Sijing You, Lung-Pan Cheng, Sebastian Marwecki, and Patrick Baudisch. 2017. Providing Haptics to Walls & Heavy Objects in Virtual Reality by Means of Electrical Muscle Stimulation. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI '17). ACM, New York, NY, USA, 1471--1482. DOI: http://dx.doi.org/10.1145/3025453.3025600Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Keigo Matsumoto, Yuki Ban, Takuji Narumi, Yohei Yanase, Tomohiro Tanikawa, and Michitaka Hirose. 2016. Unlimited corridor: redirected walking techniques using visuo haptic interaction. In ACM SIGGRAPH 2016 Emerging Technologies. ACM, 20.Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Sharif Razzaque, Zachariah Kohn, and Mary C. Whitton. 2001. Redirected Walking. In Eurographics 2001 - Short Presentations. Eurographics Association. DOI: http://dx.doi.org/10.2312/egs.20011036Google ScholarGoogle Scholar
  19. Michael Rietzler, Florian Geiselhart, Jan Gugenheimer, and Enrico Rukzio. 2018. Breaking the Tracking: Enabling Weight Perception Using Perceivable Tracking Offsets. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18). ACM, New York, NY, USA, Article 128, 12 pages. DOI: http://dx.doi.org/10.1145/3173574.3173702Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Frank Steinicke, Gerd Bruder, Jason Jerald, Harald Frenz, and Markus Lappe. 2010. Estimation of detection thresholds for redirected walking techniques. IEEE transactions on visualization and computer graphics 16, 1 (2010), 17--27.Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Dzmitry Tsetserukou. 2011. FlexTorque, FlexTensor, and HapticEye: Exoskeleton Haptic Interfaces for Augmented Interaction. In Proceedings of the 2Nd Augmented Human International Conference (AH '11). ACM, New York, NY, USA, Article 33, 2 pages. DOI: http://dx.doi.org/10.1145/1959826.1959859Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Andrew B. Watson and Andrew Fitzhugh. 1990. The method of constant stimuli is inefficient. Perception & Psychophysics 47, 1 (01 Jan 1990), 87--91. DOI: http://dx.doi.org/10.3758/BF03208169Google ScholarGoogle Scholar
  23. Eric Whitmire, Hrvoje Benko, Christian Holz, Eyal Ofek, and Mike Sinclair. 2018. Haptic Revolver: Touch, Shear, Texture, and Shape Rendering on a Reconfigurable Virtual Reality Controller. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18). ACM, New York, NY, USA, Article 86, 12 pages. DOI: http://dx.doi.org/10.1145/3173574.3173660Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. Jackie Junrui Yang, Hiroshi Horii, Alexander Thayer, and Rafael Ballagas. 2018. VR Grabbers: Ungrounded Haptic Retargeting for Precision Grabbing Tools. In The 31st Annual ACM Symposium on User Interface Software and Technology. ACM, 889--899.Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. Andre Zenner and Antonio Krüger. 2017. Shifty: A Weight-Shifting Dynamic Passive Haptic Proxy to Enhance Object Perception in Virtual Reality. IEEE Transactions on Visualization and Computer Graphics 23, 4 (April 2017), 1285--1294. DOI: http://dx.doi.org/10.1109/TVCG.2017.2656978Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. André Zenner and Antonio Krüger. 2019. Estimating Detection Thresholds for Desktop-Scale Hand Redirection in Virtual Reality. In Proceedings of IEEE VR 2019.Google ScholarGoogle ScholarCross RefCross Ref
  27. Yiwei Zhao and Sean Follmer. 2018. A Functional Optimization Based Approach for Continuous 3D Retargeted Touch of Arbitrary, Complex Boundaries in Haptic Virtual Reality. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18). ACM, New York, NY, USA, Article 544, 12 pages. DOI:http://dx.doi.org/10.1145/3173574.3174118Google ScholarGoogle ScholarDigital LibraryDigital Library

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          cover image ACM Conferences
          UIST '19: Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology
          October 2019
          1229 pages
          ISBN:9781450368162
          DOI:10.1145/3332165

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          • Published: 17 October 2019

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