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Computer Science > Human-Computer Interaction

arXiv:2403.08057 (cs)
[Submitted on 12 Mar 2024]

Title:MineXR: Mining Personalized Extended Reality Interfaces

Authors:Hyunsung Cho, Yukang Yan, Kashyap Todi, Mark Parent, Missie Smith, Tanya R. Jonker, Hrvoje Benko, David Lindlbauer
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Abstract:Extended Reality (XR) interfaces offer engaging user experiences, but their effective design requires a nuanced understanding of user behavior and preferences. This knowledge is challenging to obtain without the widespread adoption of XR devices. We introduce MineXR, a design mining workflow and data analysis platform for collecting and analyzing personalized XR user interaction and experience data. MineXR enables elicitation of personalized interfaces from participants of a data collection: for any particular context, participants create interface elements using application screenshots from their own smartphone, place them in the environment, and simultaneously preview the resulting XR layout on a headset. Using MineXR, we contribute a dataset of personalized XR interfaces collected from 31 participants, consisting of 695 XR widgets created from 178 unique applications. We provide insights for XR widget functionalities, categories, clusters, UI element types, and placement. Our open-source tools and data support researchers and designers in developing future XR interfaces.
Comments: 17 pages, 18 figures, Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems
Subjects: Human-Computer Interaction (cs.HC)
ACM classes: H.5.2
Cite as: arXiv:2403.08057 [cs.HC]
  (or arXiv:2403.08057v1 [cs.HC] for this version)
  https://doi.org/10.48550/arXiv.2403.08057
Related DOI: https://doi.org/10.1145/3613904.3642394

Submission history

From: Hyunsung Cho [view email]
[v1] Tue, 12 Mar 2024 20:05:14 UTC (11,465 KB)
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