Transparent Barriers: Natural Language Access Control Policies for XR-Enhanced Everyday Objects

要旨

Extended Reality (XR)-enabled headsets that overlay digital content onto the physical world, are gradually finding their way into our daily life. This integration raises significant concerns about privacy and access control, especially in shared spaces where XR applications interact with everyday objects. Such issues remain subtle in the absence of widespread applications of XR and studies in shared spaces are required for a smooth progress. This study evaluated a prototype system facilitating natural language policy creation for flexible, context-aware access control of personal objects. We assessed its usability, focusing on balancing precision and user effort in creating access control policies. Qualitative interviews and task-based interactions provided insights into users' preferences and behaviors, informing future design directions. Findings revealed diverse user needs for controlling access to personal items in various situations, emphasizing the need for flexible, user-friendly access control in XR-enhanced shared spaces that respects boundaries and considers social contexts.

著者
Kentaro Taninaka
Keio University, Fujisawa, Japan
Rahul Jain
Purdue University, West Lafayette, Indiana, United States
Jingyu Shi
Purdue University, West Lafayette, Indiana, United States
Kazunori Takashio
Keio University, Fujisawa-shi, Japan
Karthik Ramani
Purdue University, West Lafayette, Indiana, United States
DOI

10.1145/3706598.3713656

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713656

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Interfaces and Interactions for XR

G414+G415
6 件の発表
2025-05-01 01:20:00
2025-05-01 02:50:00
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