Feasibility study of an artificial intelligence chatbot-powered cognitive-behavioral lifestyle modification program.

IF 3.3
Evan M Forman, Charlotte J Hagerman, Asher E Hong, Zhuoran Huang, Hannah C McCausland, Jasmine H Sun, Lauren C Taylor, Meghan L Butryn, Preetha Chatterjee, Ramtin Ehsani, Nawal Syed
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Abstract

Background: Approximately 2 billion adults seek lifestyle modification to improve their health and well-being. However, because of cost and access barriers, only a tiny fraction receive gold-standard lifestyle modification programs led by trained coaches. Digital programs without human coaches are more disseminable but have limited efficacy. Recent advances in large language model (LLM) AI chatbots have the potential to revolutionize digital programs by emulating human coaches, offering a safe, low-cost, and scalable lifestyle modification intervention. Yet, no studies have developed and tested such a program.

Purpose: This study aims to evaluate the feasibility, safety, and user engagement of a new AI chatbot-powered lifestyle modification program named Lyra, which utilizes recent advances in LLM technology to potentially emulate the benefits of human coaching.

Methods: We developed Lyra, which integrates structured psychoeducational programming, digital tracking of health behaviors, and text messaging, all powered by an LLM engine. We tested the 8-week program, which included interactive training in behavioral strategies, customized meal plans, tailored feedback on goal progress, and on-demand coaching, with 17 participants in a sample of participants with overweight/obesity seeking lifestyle modification.

Results: The program was successfully implemented at a cost of $1.78/participant/week. Coders rated 2288 messages from and 475 conversations with Lyra. All were deemed safe, and the mean expertise was 8.5/10. Participants (mean BMI = 31.5) rated Lyra as helpful (69%), empathic (88%), and easy to use (94%); 88% valued having 24-h availability, and 75% developed a connection to Lyra. Participants initiated an average of 6.2 conversations, ranging from coping with cravings to unprompted "confessions" of having consumed unhealthy food.

Conclusion: This new form of intervention proved feasible, acceptable, safe, clinically adept, and capable of fostering a connection. However, rigorous testing of Lyra's effectiveness is necessary.

人工智能聊天机器人驱动的认知行为生活方式改变项目的可行性研究。
背景:大约20亿成年人寻求改变生活方式以改善他们的健康和福祉。然而,由于成本和准入障碍,只有一小部分人接受了由训练有素的教练指导的黄金标准的生活方式改变计划。没有人类教练的数字课程更容易传播,但效果有限。大型语言模型(LLM)人工智能聊天机器人的最新进展有可能通过模仿人类教练来彻底改变数字程序,提供安全、低成本和可扩展的生活方式改变干预。然而,还没有研究开发和测试过这样的程序。目的:本研究旨在评估一种名为Lyra的新型人工智能聊天机器人驱动的生活方式改变程序的可行性、安全性和用户参与度,该程序利用法学硕士技术的最新进展,潜在地模仿人类指导的好处。方法:我们开发了Lyra,它集成了结构化的心理教育编程,健康行为的数字跟踪和短信,所有这些都由LLM引擎提供支持。我们对这个为期8周的项目进行了测试,其中包括行为策略的互动训练、定制膳食计划、目标进展的定制反馈和按需指导,其中有17名超重/肥胖的参与者寻求改变生活方式。结果:该计划成功实施,成本为1.78美元/参与者/周。编码员对来自Lyra的2288条信息和475次对话进行了评分。所有人都被认为是安全的,平均专业程度为8.5/10。参与者(平均BMI = 31.5)认为Lyra有帮助(69%)、有同理心(88%)和易于使用(94%);88%的人看重24小时的可用性,75%的人与Lyra建立了联系。参与者平均发起6.2次对话,从应对渴望到主动“坦白”自己吃了不健康的食物。结论:这种新形式的干预被证明是可行的、可接受的、安全的、临床熟练的,并且能够促进联系。然而,对Lyra的有效性进行严格的测试是必要的。
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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