AI代理可自动整合碎片化隐私管理，帮用户修复数字足迹。
From Fragmentation to Integration: Exploring the Design Space of AI Agents for Human-as-the-Unit Privacy Management
- 以用户为中心设计AI代理，整合跨平台隐私操作
- 半自动或全自主的发布后管理工具最受青睐
- 用户更信任AI判断而非自我管理，尤其在复杂场景
管理个人数字足迹令人应接不暇，因涉及多个平台和大量情境依赖决策。近期智能体人工智能的发展为实现整体性、情境感知的隐私保护方案提供了可能。基于此，我们采用“以人为单位”的视角，通过12场半结构化访谈探究用户在跨情境下的隐私挑战。结果发现，人们依赖临时手动策略，缺乏全面隐私控制，揭示了应用、时间情境与人际关系中的九类管理难题。为此，我们生成九种AI代理概念，并通过包含116名美国参与者的速配式问卷评估。排名前三的概念均为发布后管理工具，且具备半自动或全自主能力，用户对AI准确性信任度高于自身努力。研究揭示了一个有前景的设计空间：用户期待AI代理能弥合隐私管理的碎片化，尤其通过自动化、全面的发布后数字足迹修复。
原文摘要 · Abstract (English)
Managing one's digital footprint is overwhelming, as it spans multiple platforms and involves countless context-dependent decisions. Recent advances in agentic AI offer ways forward by enabling holistic, contextual privacy-enhancing solutions. Building on this potential, we adopted a ''human-as-the-unit'' perspective and investigated users' cross-context privacy challenges through 12 semi-structured interviews. Results reveal that people rely on ad hoc manual strategies while lacking comprehensive privacy controls, highlighting nine privacy-management challenges across applications, temporal contexts, and relationships. To explore solutions, we generated nine AI agent concepts and evaluated them via a speed-dating survey with 116 US participants. The three highest-ranked concepts were all post-sharing management tools with half or full agent autonomy, with users expressing greater trust in AI accuracy than in their own efforts. Our findings highlight a promising design space where users see AI agents bridging the fragments in privacy management, particularly through automated, comprehensive post-sharing remediation of users' digital footprints.
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