Bokai Zheng

Bokai Zheng

Visiting Researcher

Bokai Zheng is a Ph.D student at the joint Cyber-Physical Interaction Laboratory at the Northwestern Polytechnical University, Xi’an, China, under the supervision of Prof. Weiping He. He is currently a visiting student at the Empathic Computing Laboratory at the University of Auckland, New Zealand, under the supervision of Prof. Mark Billinghurst. His research interests include Human-Computer Interaction, Mixed Reality, and Human-Robot Interaction in intelligent manufacturing.

Currently, his research focuses on asynchronous collaboration in manufacturing. He aims to enhance interaction and understanding between coworkers and partners through bio-signal sensors and human-computer interaction during cooperative assembly tasks. His goal is to eliminate the constraints of time, making asynchronous work both efficient and enjoyable.

Publications

  • Utilizing a Robot to Endow Virtual Objects with Stiffness
    Jiepeng Dong, Weiping He, Bokai Zheng, Yizhe Liu, and Mark Billinghurst.

    Dong, J., He, W., Zheng, B., Liu, Y., & Billinghurst, M. (2023, October). Utilizing a Robot to Endow Virtual Objects with Stiffness. In 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) (pp. 496-500). IEEE.

    BibTexLinksAbstract
    @inproceedings{dong2023utilizing,
    title={Utilizing a Robot to Endow Virtual Objects with Stiffness},
    author={Dong, Jiepeng and He, Weiping and Zheng, Bokai and Liu, Yizhe and Billinghurst, Mark},
    booktitle={2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)},
    pages={496--500},
    year={2023},
    organization={IEEE}
    }
    View: https://ieeexplore.ieee.org/abstract/document/10322189/
    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.