Utilizing a Robot to Endow Virtual Objects with Stiffness

Jiepeng Dong; Weiping He; Bokai Zheng; Yizhe Liu; Mark Billinghurst

doi:10.1109/ISMAR-Adjunct60411.2023.00108

Utilizing a Robot to Endow Virtual Objects with Stiffness

Jiepeng Dong, Weiping He, Bokai Zheng, Yizhe Liu, Mark Billinghurst

School of Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper proposes a novel approach to provide stiffness feedback in VR utilizing the inherent characteristics of encounter-type haptic devices (ETHDs). The method aims to provide a sense of object's deformation and enhance users' perception of stiffness when touching objects. We explored how to minimize the influence of hardness on stiffness perception and selected materials for the soft, medium, and hard hardness mapping groups to adapt to users' perceptions when touching objects of different hardness levels. Using this system, we compared and evaluated the method with a touch interaction without stiffness perceptions and found a better performance in terms of realism, possibility to act, attractiveness, efficiency.

Original language	English
Title of host publication	Proceedings - 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023
Editors	Gerd Bruder, Anne-Helene Olivier, Andrew Cunningham, Evan Yifan Peng, Jens Grubert, Ian Williams
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	496-500
Number of pages	5
ISBN (Electronic)	9798350328912
DOIs	https://doi.org/10.1109/ISMAR-Adjunct60411.2023.00108
State	Published - 2023
Event	2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023 - Sydney, Australia Duration: 16 Oct 2023 → 20 Oct 2023

Publication series

Name	Proceedings - 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023

Conference

Conference	2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023
Country/Territory	Australia
City	Sydney
Period	16/10/23 → 20/10/23

Keywords

Haptic
Human computer interaction
Human-centered computing
Human-centered computing
Interaction devices
Interaction paradigms
User studies
Virtual reality Human-centered computing

Access to Document

10.1109/ISMAR-Adjunct60411.2023.00108

Cite this

Dong, J., He, W., Zheng, B., Liu, Y., & Billinghurst, M. (2023). Utilizing a Robot to Endow Virtual Objects with Stiffness. In G. Bruder, A.-H. Olivier, A. Cunningham, E. Y. Peng, J. Grubert, & I. Williams (Eds.), Proceedings - 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023 (pp. 496-500). (Proceedings - 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISMAR-Adjunct60411.2023.00108

Dong, Jiepeng ; He, Weiping ; Zheng, Bokai et al. / Utilizing a Robot to Endow Virtual Objects with Stiffness. Proceedings - 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023. editor / Gerd Bruder ; Anne-Helene Olivier ; Andrew Cunningham ; Evan Yifan Peng ; Jens Grubert ; Ian Williams. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 496-500 (Proceedings - 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023).

@inproceedings{1685ac2e50634378a18f1ceac451a7c0,

title = "Utilizing a Robot to Endow Virtual Objects with Stiffness",

abstract = "This paper proposes a novel approach to provide stiffness feedback in VR utilizing the inherent characteristics of encounter-type haptic devices (ETHDs). The method aims to provide a sense of object's deformation and enhance users' perception of stiffness when touching objects. We explored how to minimize the influence of hardness on stiffness perception and selected materials for the soft, medium, and hard hardness mapping groups to adapt to users' perceptions when touching objects of different hardness levels. Using this system, we compared and evaluated the method with a touch interaction without stiffness perceptions and found a better performance in terms of realism, possibility to act, attractiveness, efficiency.",

keywords = "Haptic, Human computer interaction, Human-centered computing, Human-centered computing, Interaction devices, Interaction paradigms, User studies, Virtual reality Human-centered computing",

author = "Jiepeng Dong and Weiping He and Bokai Zheng and Yizhe Liu and Mark Billinghurst",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023 ; Conference date: 16-10-2023 Through 20-10-2023",

year = "2023",

doi = "10.1109/ISMAR-Adjunct60411.2023.00108",

language = "英语",

series = "Proceedings - 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "496--500",

editor = "Gerd Bruder and Anne-Helene Olivier and Andrew Cunningham and Peng, {Evan Yifan} and Jens Grubert and Ian Williams",

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}

Dong, J, He, W, Zheng, B, Liu, Y & Billinghurst, M 2023, Utilizing a Robot to Endow Virtual Objects with Stiffness. in G Bruder, A-H Olivier, A Cunningham, EY Peng, J Grubert & I Williams (eds), Proceedings - 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023. Proceedings - 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023, Institute of Electrical and Electronics Engineers Inc., pp. 496-500, 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023, Sydney, Australia, 16/10/23. https://doi.org/10.1109/ISMAR-Adjunct60411.2023.00108

Utilizing a Robot to Endow Virtual Objects with Stiffness. / Dong, Jiepeng; He, Weiping; Zheng, Bokai et al.
Proceedings - 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023. ed. / Gerd Bruder; Anne-Helene Olivier; Andrew Cunningham; Evan Yifan Peng; Jens Grubert; Ian Williams. Institute of Electrical and Electronics Engineers Inc., 2023. p. 496-500 (Proceedings - 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - This paper proposes a novel approach to provide stiffness feedback in VR utilizing the inherent characteristics of encounter-type haptic devices (ETHDs). The method aims to provide a sense of object's deformation and enhance users' perception of stiffness when touching objects. We explored how to minimize the influence of hardness on stiffness perception and selected materials for the soft, medium, and hard hardness mapping groups to adapt to users' perceptions when touching objects of different hardness levels. Using this system, we compared and evaluated the method with a touch interaction without stiffness perceptions and found a better performance in terms of realism, possibility to act, attractiveness, efficiency.

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KW - Human computer interaction

KW - Human-centered computing

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KW - Interaction paradigms

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PB - Institute of Electrical and Electronics Engineers Inc.

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Dong J, He W, Zheng B, Liu Y, Billinghurst M. Utilizing a Robot to Endow Virtual Objects with Stiffness. In Bruder G, Olivier AH, Cunningham A, Peng EY, Grubert J, Williams I, editors, Proceedings - 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 496-500. (Proceedings - 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2023). doi: 10.1109/ISMAR-Adjunct60411.2023.00108

Utilizing a Robot to Endow Virtual Objects with Stiffness

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