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聊天机器人在儿科肥胖干预中的延伸作用:对“通过 Tess,即人工智能行为辅导聊天机器人,实现儿科肥胖和糖尿病前期治疗支持的可行性”一文的特邀评论

Chatbots as extenders of pediatric obesity intervention: an invited commentary on "Feasibility of Pediatric Obesity & Pre-Diabetes Treatment Support through Tess, the AI Behavioral Coaching Chatbot".

机构信息

USDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX, USA.

出版信息

Transl Behav Med. 2019 May 16;9(3):448-450. doi: 10.1093/tbm/ibz065.

Abstract

Despite our best efforts, pediatric obesity remains an important public health issue. Although many different approaches to address this condition have been utilized, few have achieved long-term success. Technology is increasingly being explored as a convenient and accessible method for delivering behavioral interventions. Stephens and colleagues report the feasibility of using a behavioral coaching social chatbot, Tess, to extend a multicomponent pediatric obesity intervention for adolescents. We examine the pros and cons of this approach. Although social chatbots offer an interesting and novel method for promoting round-the-clock support, important issues and decisions must be carefully considered during the design phase to help ensure a safe environment for a vulnerable population.

摘要

尽管我们已经尽了最大的努力,小儿肥胖仍然是一个重要的公共卫生问题。尽管已经采用了许多不同的方法来解决这个问题,但很少有方法能够取得长期的成功。技术正越来越多地被探索作为一种方便和可及的方法来提供行为干预。Stephens 及其同事报告了使用行为教练社交聊天机器人 Tess 来扩展针对青少年的多组分小儿肥胖干预措施的可行性。我们研究了这种方法的优缺点。虽然社交聊天机器人为提供全天候支持提供了一种有趣和新颖的方法,但在设计阶段必须仔细考虑重要的问题和决策,以帮助确保为弱势群体提供安全的环境。

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