情境感知可穿戴设备:我们最不需要的就是流浪猫的流行

K. Snooks, Joseph Lindley, Daniel Richards, Roger Whitham
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引用次数: 0

摘要

我们推出了Connected Companion (CoCo),这是一款健康跟踪可穿戴设备,可为用户提供及时的、与环境相关的通知,旨在改善健康状况。传统上,自我追踪的可穿戴设备报告基本的健康数据,如静息心率;这些数据是可视化的,并通过基本的游戏化(如奖励徽章)和通知系统鼓励积极的行为(如经常锻炼)。CoCo是第一款结合了咖啡因、酒精和皮质醇传感器、环境网络(预测用户环境)和健康模型(建立每个用户的健康指标)的可穿戴设备。协同工作,为用户提供通知,鼓励离散行为,旨在根据非常特定的生物和社会环境优化用户健康。本文描述了旨在评估CoCo功效的用户研究的(有时是意想不到的)结果,我们最后讨论了构建上下文感知计算系统所带来的权力和责任。
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Context-Aware Wearables: The Last Thing We Need is a Pandemic of Stray Cats
We present Connected Companion (CoCo), a health tracking wearable that provides users with timely, context-relevant notifications aimed at improving wellness. Traditionally, self-tracking wearables report basic health data such as resting heart rate; these data are visualised and positive behaviours (e.g. exercising often) are encouraged with rudimentary gamification (e.g. award badges) and notification systems. CoCo is the first wearable to combine caffeine, alcohol and cortisol sensors, a context network (which predicts user context), and a wellness model (which establishes per-user wellness measures). Working in tandem these provide users with notifications that encourage discrete behaviours intended to optimise user-wellness per very specific biological and social contexts. The paper describes the (sometimes unexpected) results of a user-study intended to evaluate CoCo's efficacy and we conclude with a discussion about the power and responsibility that comes with attempts to build context-aware computing systems.
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