Our research aims to develop intelligent collaborative agents that are human-aware : They can model, learn, and reason about their human partner’s physiological, cognitive, and affective states. In this article, we study how adaptive coaching interactions can be designed to help people develop sustainable healthy behaviors. We leverage the common model of cognition (CMC) [31] as a framework for unifying several behavior change theories that are known to be useful in human–human coaching. We motivate a set of interactive system desiderata based on the CMC-based view of behavior change. Then, we propose PARCoach, an interactive system that addresses the desiderata. PARCoach helps a trainee pick a relevant health goal, set an implementation intention, and track their behavior. During this process, the trainee identifies a specific goal-directed behavior as well as the situational context in which they will perform it. PARCCoach uses this information to send notifications to the trainee, reminding them of their chosen behavior and the context. We report the results from a 4-week deployment with 60 participants. Our results support the CMC-based view of behavior change and demonstrate that the desiderata for proposed interactive system design is useful in producing behavior change.

中文翻译：

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探索认知通用模型在设计适应性教练互动以促进健康行为改变中的作用

我们的研究旨在开发智能协作代理人类感知：他们可以对人类伴侣的生理、认知和情感状态进行建模、学习和推理。在本文中，我们研究了如何设计适应性教练互动来帮助人们发展可持续的健康行为。我们利用通用认知模型 (CMC) [31] 作为统一几种行为改变理论的框架，这些理论已知在人际教练中很有用。我们基于基于 CMC 的行为改变视图激发了一组交互式系统需求。然后，我们提出了 PARCoach，这是一个解决需求的交互式系统。PARCoach 帮助学员选择相关的健康目标、设定实施意图并跟踪他们的行为。在此过程中，受训者确定特定的目标导向行为以及他们将执行该行为的情境。PARCCoach 使用这些信息向学员发送通知，提醒他们选择的行为和背景。我们报告了 4 周部署的结果，有 60 名参与者。我们的结果支持基于 CMC 的行为改变观点，并证明所提出的交互式系统设计的需求对于产生行为改变是有用的。