Collaborative Pseudo-Haptics: Two-User Stiffness Discrimination Based on Visual Feedback

Abstract : Pseudo-Haptic feedback has been the object of several stud-ies exploring how haptic illusions can be generated when interacting with virtual environments using visual feedback. In this work we explore how the concept of pseudo-haptic feedback can be introduced in a collabora-tive scenario. A remote collaborative scenario in which two users interact with a deformable object is presented. Each user, through touch-based input, is able to interact with a deformable virtual object displayed in a standard display screen. The visual deformation of the virtual object is driven by a pseudo-haptic approach taking into account both the user in-put and the simulated physical properties. Particularly, we investigated stiffness perception. In order to validate our approach, we tested our system in a single and two-user configuration. The results showed that users were able to discriminate the stiffness of the virtual object in both conditions with a comparable performance. Thus, pseudo-haptic feed-back seems a promising tool for providing multiple users with physical information related to other users' interactions.
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Communication dans un congrès
Eurohaptics 2014, 2014, Versailles, France. Haptics: Neuroscience, Devices, Modeling, and Applications, Lecture Notes in Computer Science, pp.49 - 54, 2014, 〈10.1007/978-3-662-44196-1_7〉
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https://hal.inria.fr/hal-01086248
Contributeur : Ferran Argelaguet Sanz <>
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Ferran Argelaguet Sanz, Takuya Sato, Thierry Duval, Yoshifumi Kitamura, Anatole Lécuyer. Collaborative Pseudo-Haptics: Two-User Stiffness Discrimination Based on Visual Feedback. Eurohaptics 2014, 2014, Versailles, France. Haptics: Neuroscience, Devices, Modeling, and Applications, Lecture Notes in Computer Science, pp.49 - 54, 2014, 〈10.1007/978-3-662-44196-1_7〉. 〈hal-01086248〉

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