Understanding Context to Capture when Reconstructing Meaningful Spaces for Remote Instruction and Connecting in XR

要旨

Recent technological advances are enabling HCI researchers to explore interaction possibilities for remote XR collaboration using high-fidelity reconstructions of physical activity spaces. However, creating these reconstructions often lacks user involvement with an overt focus on capturing sensory context that does not necessarily augment an informal social experience. This work seeks to understand social context that can be important for reconstruction to enable XR applications for informal instructional scenarios. Our study involved the evaluation of an XR remote guidance prototype by 8 intergenerational groups of closely related gardeners using reconstructions of personally meaningful spaces in their gardens. Our findings contextualize physical objects and areas with various motivations related to gardening and detail perceptions of XR that might affect the use of reconstructions for remote interaction. We discuss implications for user involvement to create reconstructions that better translate real-world experience, encourage reflection, incorporate privacy considerations, and preserve shared experiences with XR as a medium for informal intergenerational activities.

受賞
Best Paper
著者
Hanuma Teja Maddali
University of Maryland, College Park, Maryland, United States
Amanda Lazar
University of Maryland, College Park, Maryland, United States
論文URL

https://doi.org/10.1145/3544548.3581243

動画

会議: CHI 2023

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2023.acm.org/)

セッション: Fostering Meaningful Virtual Connections

Hall D
6 件の発表
2023-04-25 20:10:00
2023-04-25 21:35:00