Department of Communication, University of California Davis, Davis, USA.
Department of Public Health Sciences, University of California Davis, Davis, USA.
Int J Behav Nutr Phys Act. 2021 Dec 11;18(1):160. doi: 10.1186/s12966-021-01224-6.
This systematic review aimed to evaluate AI chatbot characteristics, functions, and core conversational capacities and investigate whether AI chatbot interventions were effective in changing physical activity, healthy eating, weight management behaviors, and other related health outcomes.
In collaboration with a medical librarian, six electronic bibliographic databases (PubMed, EMBASE, ACM Digital Library, Web of Science, PsycINFO, and IEEE) were searched to identify relevant studies. Only randomized controlled trials or quasi-experimental studies were included. Studies were screened by two independent reviewers, and any discrepancy was resolved by a third reviewer. The National Institutes of Health quality assessment tools were used to assess risk of bias in individual studies. We applied the AI Chatbot Behavior Change Model to characterize components of chatbot interventions, including chatbot characteristics, persuasive and relational capacity, and evaluation of outcomes.
The database search retrieved 1692 citations, and 9 studies met the inclusion criteria. Of the 9 studies, 4 were randomized controlled trials and 5 were quasi-experimental studies. Five out of the seven studies suggest chatbot interventions are promising strategies in increasing physical activity. In contrast, the number of studies focusing on changing diet and weight status was limited. Outcome assessments, however, were reported inconsistently across the studies. Eighty-nine and thirty-three percent of the studies specified a name and gender (i.e., woman) of the chatbot, respectively. Over half (56%) of the studies used a constrained chatbot (i.e., rule-based), while the remaining studies used unconstrained chatbots that resemble human-to-human communication.
Chatbots may improve physical activity, but we were not able to make definitive conclusions regarding the efficacy of chatbot interventions on physical activity, diet, and weight management/loss. Application of AI chatbots is an emerging field of research in lifestyle modification programs and is expected to grow exponentially. Thus, standardization of designing and reporting chatbot interventions is warranted in the near future.
International Prospective Register of Systematic Reviews (PROSPERO): CRD42020216761 .
本系统评价旨在评估 AI 聊天机器人的特点、功能和核心会话能力,并调查 AI 聊天机器人干预措施是否能有效改变身体活动、健康饮食、体重管理行为和其他相关健康结果。
与医学图书馆员合作,检索了六个电子文献数据库(PubMed、EMBASE、ACM 数字图书馆、Web of Science、PsycINFO 和 IEEE)以确定相关研究。仅纳入随机对照试验或准实验研究。由两名独立评审员筛选研究,任何分歧由第三名评审员解决。采用 NIH 质量评估工具评估个体研究的偏倚风险。我们应用 AI 聊天机器人行为改变模型来描述聊天机器人干预措施的组成部分,包括聊天机器人特点、说服力和关系能力以及对结果的评估。
数据库检索共获取 1692 条引文,9 项研究符合纳入标准。在这 9 项研究中,4 项为随机对照试验,5 项为准实验研究。7 项研究中有 5 项表明聊天机器人干预措施是增加身体活动的有前途的策略。相比之下,关注改变饮食和体重状况的研究数量有限。然而,研究之间的结果评估报告不一致。有 89%和 33%的研究分别指定了聊天机器人的名称和性别(即女性)。超过一半(56%)的研究使用了受限聊天机器人(即基于规则的),而其余研究使用了类似于人际交流的非受限聊天机器人。
聊天机器人可能会提高身体活动量,但我们无法就聊天机器人干预措施对身体活动、饮食和体重管理/减轻的疗效得出明确结论。AI 聊天机器人的应用是生活方式改变计划中一个新兴的研究领域,预计其将呈指数级增长。因此,在不久的将来,有必要对聊天机器人干预措施的设计和报告进行标准化。
国际前瞻性系统评价注册库(PROSPERO):CRD42020216761。