Problem
Research questions and friction points this paper is trying to address.
mixed reality
window arrangement
proposal visualization
user preference
adaptive interfaces
Visualizing Placement Proposals for Window Arrangement in Mixed Reality: A Comparative User Study
🤖 AI Summary
This study addresses the common oversight of user preferences in adaptive window layout systems for mixed reality and the lack of systematic investigation into the visual presentation of layout suggestions. Through a user study, it compares three visualization techniques—contextual icon preview, contextual window preview, and 3D preview—against manual placement, focusing on single-window positioning tasks at predefined locations. Combining task performance metrics, subjective questionnaires, and post-study interviews, the research finds that contextual window preview significantly reduces layout time, yet users still express a strong preference for manual control. The findings reveal that perceived control, cognitive load, familiarity, and information richness are key factors shaping user preferences, offering empirical guidance for designing mixed reality layouts that balance efficiency with user experience.
📝 Abstract
Adaptive mixed reality (MR) interfaces typically optimize window layouts on behalf of the user, with limited consideration for individual preferences. A promising alternative keeps users in the loop by presenting layout proposals for them to select from, but how these proposals should be visualized remains underexplored. We compare three proposal-visualization techniques for window placement, Situated Icon Preview, Situated Window Preview, and 3D Preview, against a Manual Positioning baseline. The techniques differ in level of detail and degree of interaction-space context. In a within-subjects user study, 24 participants completed a multi-stage trip-planning task in VR, individually placing seven sequentially introduced windows using each technique. We thereby focus on single-window placement under predefined proposal positions. We measured layouting time, number of layout changes, task load, user experience, and preference, complemented by semi-structured interviews. Although Situated Icon Preview and Situated Window Preview reduced layouting time compared to Manual Positioning - with Situated Window Preview also faster than 3D Preview - participants preferred direct manual control. We discuss the factors shaping this preference (perceived control, cognitive cost, familiarity, and informativeness of the proposal) and outline implications for hybrid approaches, as a promising combination of proposal-based suggestions with manual refinement.
Innovation
Methods, ideas, or system contributions that make the work stand out.
mixed reality
window arrangement
proposal visualization
user study
adaptive interfaces
🔎 Similar Papers
No similar papers found.
💼 Related Jobs
