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Towards Context-Aware Adaptation in Extended Reality: A Design Space for XR Interfaces and an Adaptive Placement Strategy

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arxiv 2411.02607 v1 pith:J7SFPWR2 submitted 2024-11-04 cs.HC cs.CYcs.GRcs.IRcs.MM

classification cs.HCcs.CYcs.GRcs.IRcs.MM
keywords placementadaptivespacestrategyuserdesigninterfacescontext-aware
verification ladder T0 review T1 audit T2 compute T3 formal
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By converting the entire 3D space around the user into a screen, Extended Reality (XR) can ameliorate traditional displays' space limitations and facilitate the consumption of multiple pieces of information at a time. However, if designed inappropriately, these XR interfaces can overwhelm the user and complicate information access. In this work, we explored the design dimensions that can be adapted to enable suitable presentation and interaction within an XR interface. To investigate a specific use case of context-aware adaptations within our proposed design space, we concentrated on the spatial layout of the XR content and investigated non-adaptive and adaptive placement strategies. In this paper, we (1) present a comprehensive design space for XR interfaces, (2) propose Environment-referenced, an adaptive placement strategy that uses a relevant intermediary from the environment within a Hybrid Frame of Reference (FoR) for each XR object, and (3) evaluate the effectiveness of this adaptive placement strategy and a non-adaptive Body-Fixed placement strategy in four contextual scenarios varying in terms of social setting and user mobility in the environment. The performance of these placement strategies from our within-subjects user study emphasized the importance of intermediaries' relevance to the user's focus. These findings underscore the importance of context-aware interfaces, indicating that the appropriate use of an adaptive content placement strategy in a context can significantly improve task efficiency, accuracy, and usability.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. ChatMuse: Supporting In-Person Small-Group Conversation Experience with a Proactive Assistive AI Agent in Mixed Reality

    cs.HC 2026-07 conditional novelty 6.0 of 10

    A proactive mixed-reality AI agent that privately suggests speech and nonverbal behavior can help one participant feel more engaged in small-group conversations, according to an 18-person within-subject study.

  2. Actionable Guidance Outperforms Map and Compass Cues in Demanding Immersive VR Wayfinding

    cs.HC 2026-03 conditional novelty 6.0 of 10

    Arrow guidance outperformed minimap and compass in time-pressured immersive VR wayfinding, with less interface dwell and lower workload than compass.

  3. Designing Memory-Augmented AR Agents for Spatiotemporal Reasoning in Personalized Task Assistance

    cs.AI 2025-08 conditional novelty 5.0 of 10

    A position paper proposing a four-module memory-augmented AR agent framework that uses stored scene graphs of past user experiences to personalize task guidance.

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