通过用户日常电脑使用推断深层人生目标，让用户参与修正理解过程。
"What Are You Really Trying to Do?": Co-Creating Life Goals from Everyday Computer Use
- 基于活动理论构建层级化行为模型，从日常操作中推导潜在人生目标
- 14人一周实地测试显示，系统生成的目标与长期愿景高度一致
- 支持用户编辑反馈，提升对自身被理解方式的控制力
近期用户建模进展使得从日常电脑使用中进行开放性推断成为可能。尽管长久以来设想系统能深入理解人类行为及其生活意义，但现有系统仅捕捉当下行为，无法解释行为动机，限制了其支持能力。本文提出‘共创追求’（striving co-creation）机制，从非结构化电脑使用记录中推导更广泛的人生目标。该方法基于活动理论与埃蒙斯的个人追求框架，逐步构建行为的层次化表示。由于同一行为可能由多种目标驱动，单纯观察难以完全确定目标。因此系统提供可编辑界面，让用户修正系统对其意图的理解，并将反馈融入后续推断。在14名参与者为期一周的实地部署中，结果表明共创过程产生的追求与用户长期目标具有代表性，且显著提升了用户对系统理解方式的掌控感。
原文摘要 · Abstract (English)
Recent advances in user modeling make it feasible to conduct open-ended inference over a person's everyday computer use. Despite longstanding visions of systems that deeply understand our actions and the purposes they serve in our lives, existing systems only capture what a person is doing in the moment -- not why they are doing it -- limiting these systems to surface-level support. We introduce striving co-creation, a process for inferring broader life goals from unstructured observations of computer use. Grounded in Activity Theory and Emmons' personal strivings framework, our system progressively constructs a hierarchical representation of a person's activities. Crucially, strivings are difficult to fully resolve from observation alone, as the same action can be driven by many different goals. Our system therefore supports an editing interface that gives people agency over how they are understood by the system, feeding their corrections back into subsequent rounds of striving induction. In a week-long field deployment (N=14), we find that our co-creation process produces strivings that are representative of participants' long-term goals and gives them greater agency than baseline methods.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。