Exploring Design Opportunities for Reflective Conversational Agents to Reduce Compulsive Smartphone Use

Zhuoyang Li, Minhui Liang, Hai Trung Le, Ray Lc, Yuhan Luo
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Abstract

Conversational agents (CAs) have become ubiquitous in our daily lives. Recognizing the potential of CAs being persuasive agents, we are interested in leveraging CAs to reduce compulsive smartphone use, a widespread behavior among young adults that can lead to negative consequences. This work presents the design and development of StayFocused, a mobile app incorporating a chatbot to assist people in setting focus goals and reflecting on their phone-checking behaviors in situ. Particularly, we highlight the iterative process of curating prompts for GPT-3, and the lessons learned from our trials and errors. With StayFocused, we propose a three-week between-subjects study with college students. We envision the design of StayFocused and the proposed study will deepen our understanding of how CAs support immediate actions as well as sustained behavior change, and inform the design of persuasive technologies for reducing unintended behaviors such as compulsive smartphone use.
探索反思对话代理的设计机会,以减少强迫性智能手机的使用
会话代理(ca)在我们的日常生活中已经无处不在。认识到ca作为说服代理的潜力,我们有兴趣利用ca来减少强迫性智能手机使用,这是年轻人中普遍存在的一种可能导致负面后果的行为。这项工作展示了StayFocused的设计和开发,这是一个包含聊天机器人的移动应用程序,可以帮助人们设定焦点目标,并反思他们在现场查看手机的行为。我们特别强调了为GPT-3策划提示的迭代过程,以及我们从试验和错误中吸取的教训。通过StayFocused,我们建议对大学生进行为期三周的学科间研究。我们设想了StayFocused的设计,该研究将加深我们对ca如何支持即时行动和持续行为改变的理解,并为设计有说服力的技术提供信息,以减少强迫性智能手机使用等意外行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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