Negotiating Ontological Boundaries in User-Authored Personal Sensing Systems
TL;DR · AI 摘要
Negotiating Ontological Boundaries in User-Authored Personal Sensing Systems - Apple Machine Learning Research research...
核心要点
- 主题聚焦：Negotiating Ontological Boundaries in User-Autho
- 来源：Apple Machine Learning Research，建议结合原文判断细节。
- AI 分析暂不可用，本条为保底评分与摘要。
Negotiating Ontological Boundaries in User-Authored Personal Sensing Systems - Apple Machine Learning Research
research area
Human-Computer Interaction
content type
paper
published
October 2026
Negotiating Ontological Boundaries in User-Authored Personal Sensing Systems
Authors Nava Haghighiâ , Danielle Olson, Halden Lin, Erdrin Azemi, Gierad Laput, Kayur Patel**, James Landayâ
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Designed artifacts are ontological, shaping, and at times limiting, what becomes possible or imaginable. One path toward mitigating such foreclosures is giving people power over how systems are designed and built. Despite decades of scholarship around systems that enable such authorship, these systems are often evaluated on whether or not they are usable, useful, or technically feasible, leaving questions of ontological boundary negotiation, unexamined. We design two open-ended probes that utilize a Wizard of Oz technique to enable the experience of training a personalized machine learning system on phenomena people define themselves. In a week-long exploratory study, participants use one of two probes in the course of their everyday lives. We identify four sites where ontological boundaries were negotiated; the boundaries of a phenomena, the subject as part of relations, what is signal and what is noise, and the objectivity of data. We offer starting points for supporting boundary negotiation through design and discuss open-ended probes as a method for ontological design.
- â Stanford University
- ** Work done while at Apple
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