Research
Negotiating Ontological Boundaries in User-Authored Personal Sensing Systems
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 design
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…
Related
- Toward Metaphor-Fluid Conversation Design for Voice User Interfaces
- Who Gets a Token, and What Does It Carry? Unequal Name Support and Concept Access in Large Language Models
- Apple Workshop on Privacy-Preserving Machine Learning & AI 2026
- When Unlearning Is Free: Leveraging Low Influence Points to Reduce Computational Costs
Source: Apple ML Research | 2026-10-05