AVICol: Adaptive Visual Instruction for Remote Collaboration Using Mixed Reality-Reference-Cited by-同舟云学术

AVICol: Adaptive Visual Instruction for Remote Collaboration Using Mixed Reality

Published:2024-02-18 Issue: Volume: Page:1-20
ISSN:1044-7318
Container-title:International Journal of Human–Computer Interaction
language:en
Short-container-title:International Journal of Human–Computer Interaction

Author:

Wang Lili¹²,Li Xiangyu¹,Wu Jian¹,Zhou Dong¹,Sio Kei Im³,Popescu Voicu⁴

Affiliation:

1. State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China

2. Peng Cheng Laboratory, Shengzhen, China

3. Macao Polytechnic University, Macau, China

4. Purdue University, West Lafayette, IN, USA

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10447318.2024.2313920

Reference89 articles.

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3. Bai, H., Sasikumar, P., Yang, J., & Billinghurst, M. (2020). A user study on mixed reality remote collaboration with eye gaze and hand gesture sharing. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1–13). https://doi.org/10.1145/3313831.3376550

4. A User Study on the Comparison of View Interfaces for VR-AR Communication in XR Remote Collaboration

5. Chang, Y.-C., Wang, H.-C., Chu, H-K., Lin, S.-Y., & Wang, S.-P. (2017). Alpharead: Support unambiguous referencing in remote collaboration with readable object annotation. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (pp. 2246–2259).

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