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首页> 外文期刊>International journal of human-computer interaction >Healthier Life with Digital Companions: Effects of Reflection-Level and Statement-Type of Messages on Behavior Change via a Perceived Companion
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Healthier Life with Digital Companions: Effects of Reflection-Level and Statement-Type of Messages on Behavior Change via a Perceived Companion

机译:与数字伴侣的更健康的生活:反思级别和陈述类型的影响通过感知的伴侣改变行为

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摘要

Quantified-self tools track personal data as well as emotional and psychological scores, in real time, of people who use such tools. Such data have potential uses for initiating interactions to induce personal health-related behavior changes. However, notwithstanding this potential, not much benefit has been derived from the data tracked using various devices such as smartphones and fitness trackers. The main research goal of this study is to investigate how interactions of quantified-self tools should be designed for inducing user perception and behavior change. Particularly, this study uses two message representation formats (MRF) for users to perceive self-tracking tools as companion devices because the MRFs of smartphones and fitness trackers are important to interact with users in conversational interaction. This study developed a message expression algorithm, Samantha, to deliver personalized-messages automatically in real time about the values tracked by these devices to their users. The study studied the effect of the four message representation formats on the perception of companion and to induce behavior change.
机译:量化自我工具跟踪个人数据以及情感和心理分数,实时使用这些工具的人。这些数据具有启动相互作用以引起个人健康相关行为的变化的潜在用途。然而,尽管有这种潜力,但是,使用诸如智能手机和健身跟踪器等各种设备跟踪的数据来源的损益并不多。本研究的主要研究目标是调查如何为诱导用户感知和行为改变的量化自动工具的交互。特别是,本研究使用两种消息表示格式(MRF),以便用户将自跟踪工具视为伴侣设备,因为智能手机和健身跟踪器的MRFS对会话交互中的用户互动。本研究开发了一种消息表达算法Samantha,以实时地自动提供个性化信息,了解这些设备跟踪到用户的值。该研究研究了四个消息表示格式对伴侣感知的影响和诱导行为变化的影响。

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