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arXiv · Human-Computer Interaction· Yibo Meng, Jinyuan Zhan, Yao Lyu, Zhuoran Lu, Chengxi Zang·· 9 天前精选AI 评分60

八年五轮访谈:糖尿病患者使用计算系统后出现“持续使用但认知脱离”

"Can Computing Systems Eventually Disappear?": A Long-Term Tracking Study on the Use of Diabetes Computing Systems by Patients with Diabetes

AI 导读

一项 2017 至 2025 年的八年五轮纵向访谈研究,访谈 37 名糖尿病患者及 15 名临床医生、设计师和供应商,提出“持续使用但认知脱离”这一用户状态:设备仍在使用,但主动解读和质疑减少,用户只对警报作出反应。

推荐理由

基于摘要,该研究以八年五轮纵向访谈追踪糖尿病患者使用血糖仪、CGM 与预测/自动胰岛素输注系统的过程,提出“持续使用但认知脱离”这一用户状态,为可穿戴健康系统的长期认知影响提供质性证据。

摘要

arXiv:2610.23276v1 Announce Type: new Abstract: Ubiquitous computing has long pursued Weiser's vision of technologies that "disappear" into everyday life. As wearable health systems advance, they increasingly substitute for rather than scaffold users' judgment, yet the long-term consequences remain underexplored. We report an eight-year, five-wave longitudinal interview study from 2017 to 2025 with 37 patients with diabetes, complemented by interviews with 15 clinicians, designers, and vendors. Across three technological generations including glucometers, continuous glucose monitoring, and predictive and automated insulin delivery systems, we identify a novel user state, continued use with cognitive disengagement. In this state, devices remain in use but active interpretation and questioning recede, leaving users to respond only to alarms. This state emerges from functional expansion, delegation of interpretive authority, and information fatigue, and is reinforced by clinical prioritization, information compression, and automation. It results in less frequent independent health judgment and a shift from understanding to responding. We argue that future diabetes computing systems should reduce unnecessary cognitive work while preserving users' opportunities to interpret, contextualize, and question system outputs.

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来源:arXiv · Human-Computer Interaction · arxiv.org