在用户自主构建的个人感知系统中协商本体论边界
Negotiating Ontological Boundaries in User-Authored Personal Sensing Systems
浏览论文内容
中文总结 AI 辅助
本研究针对用户自主构建的个人感知系统的本体论边界协商问题,设计开放式探测工具开展研究,识别出四类边界协商场景,为相关设计提供了起点。
中文摘要 AI 辅助
人工设计的人工制品具有本体论属性,它们塑造着甚至有时限制着人们所能实现或想象的事物。缓解这种封闭性的一个途径是赋予人们控制系统设计与构建的权力。尽管数十年来学界一直围绕支持这种自主创作的系统展开研究,但这些系统往往仅以可用性、实用性或技术可行性作为评估标准,本体论边界协商的相关问题却未得到探讨。我们设计了两个开放式探测工具,利用“绿野仙踪”技术让用户体验训练个性化机器学习系统的过程,该系统针对的是用户自行定义的现象。在为期一周的探索性研究中,参与者在日常生活中使用其中一个探测工具。我们识别出四个本体论边界协商的场景:现象的边界、作为关系组成部分的主体、信号与噪声的区分,以及数据的客观性。我们为通过设计支持边界协商提供了起点,并探讨了开放式探测作为本体论设计方法的价值。
英文摘要
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.