Peng Wang

Dr. Peng Wang


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 March 2020 in International Journal of Human–Computer Interaction
Verified
Journal Article
Closed access
PWPeng Wang
Peng Wang
XBXiaoliang Bai
Xiaoliang Bai
Mark BillinghurstMark Billinghurst
Mark Billinghurst
SZShusheng Zhang
Shusheng Zhang
DHDechuan Han
Dechuan Han
SHShu Han
Shu Han
Research on Augmented Reality (AR)/Mixed Reality (MR) remote collaboration for physical tasks remains a compelling and dynamic area of study. AR systems have been developed which transmit virtual annotations between remote collaborators, but there has been little research on how haptic feedback can also be shared. In this paper, we present a Virtual Reality (VR)-Spatial Augmented Reality (SAR) remote collaborative system that provides haptic feedback with tangible interaction between a local worker and a remote expert helper. Using this system, we conducted a within-subject user study to compare two interfaces for remote collaboration between a local worker and expert helper, one with mid-air free drawing (MFD) and one with tangible physical drawing (TPD). The results showed that there were no significant differences with respect to performance time and operation errors. However, users felt that the TPD interface supporting passive haptic feedback could significantly improve the remote experts’ user experience in VR. Our research provides useful information on the way for gesture- and gaze-based multimodal interaction supporting haptic feedback in AR/MR remote collaboration on physical tasks.

2 September 2020 in Multimedia Tools and Applications
Verified
Journal Article
Closed access
PDF file
PWPeng Wang
Peng Wang
XBXiaoliang Bai
Xiaoliang Bai
MBMark Billinghurst
Mark Billinghurst
SZShusheng Zhang
Shusheng Zhang
SWSili Wei
Sili Wei
JZJie Zhang
Jie Zhang

13 January 2023 in Virtual Reality
Verified
Journal Article
Closed access
PDF file
PWPeng Wang
Peng Wang
YWYue Wang
Yue Wang
MBMark Billinghurst
Mark Billinghurst
HYHuizhen Yang
Huizhen Yang
PXPeng Xu
Peng Xu
YLYanhong Li
Yanhong Li

9 November 2019 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
PWPeng Wang
Peng Wang
SZShusheng Zhang
Shusheng Zhang
XBXiaoliang Bai
Xiaoliang Bai
Mark BillinghurstMark Billinghurst
Mark Billinghurst
LZLi Zhang
Li Zhang
YYYuxiang Yan
Yuxiang Yan

1 March 2020 in Interacting with Computers
Verified
Journal Article
Open access
PDF file
PWPeng Wang
Peng Wang
XBXiaoliang Bai
Xiaoliang Bai
MBMark Billinghurst
Mark Billinghurst
SZShusheng Zhang
Shusheng Zhang
WHWeiping He
Weiping He
SHShu Han
Shu Han
This paper investigates the effect of using augmented reality (AR) annotations and two different gaze visualizations, head pointer (HP) and eye gaze (EG), in an AR system for remote collaboration on physical tasks. First, we developed a spatial AR remote collaboration platform that supports sharing the remote expert’s HP or EG cues. Then the prototype system was evaluated with a user study comparing three conditions for sharing non-verbal cues: (1) a cursor pointer (CP), (2) HP and (3) EG with respect to task performance, workload assessment and user experience. We found that there was a clear difference between these three conditions in the performance time but no significant difference between the HP and EG conditions. When considering the perceived collaboration quality, the HP/EG interface was statistically significantly higher than the CP interface, but there was no significant difference for workload assessment between these three conditions. We used low-cost head tracking for the HP cue and found that this served as an effective referential pointer. This implies that in some circumstances, HP could be a good proxy for EG in remote collaboration. Head pointing is more accessible and cheaper to use than more expensive eye-tracking hardware and paves the way for multi-modal interaction based on HP and gesture in AR remote collaboration.

21 January 2022 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
YWYue Wang
Yue Wang
PWPeng Wang
Peng Wang
ZLZhiyong Luo
Zhiyong Luo
YYYuxiang Yan
Yuxiang Yan