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一项针对体育活动和饮食人工智能虚拟健康助手的表现、依从性和可接受性的过程评估。

A Process Evaluation Examining the Performance, Adherence, and Acceptability of a Physical Activity and Diet Artificial Intelligence Virtual Health Assistant.

机构信息

City East Campus, Alliance for Research in Exercise, Nutrition and Activity, University of South Australia, GPO Box 247, Adelaide 5001, Australia.

City East Campus, University of South Australia, Clinical and Health Sciences, GPO Box 247, Adelaide 5001, Australia.

出版信息

Int J Environ Res Public Health. 2020 Dec 7;17(23):9137. doi: 10.3390/ijerph17239137.

Abstract

Artificial intelligence virtual health assistants are a promising emerging technology. This study is a process evaluation of a 12-week pilot physical activity and diet program delivered by virtual assistant "Paola". This single-arm repeated measures study ( = 28, aged 45-75 years) was evaluated on technical performance (accuracy of conversational exchanges), engagement (number of weekly check-ins completed), adherence (percentage of step goal and recommended food servings), and user feedback. Paola correctly asked scripted questions and responded to participants during the check-ins 97% and 96% of the time, respectively, but correctly responded to spontaneous exchanges only 21% of the time. Participants completed 63% of weekly check-ins and conducted a total of 3648 exchanges. Mean dietary adherence was 91% and was lowest for discretionary foods, grains, red meat, and vegetables. Participants met their step goal 59% of the time. Participants enjoyed the program and found Paola useful during check-ins but not for spontaneous exchanges. More in-depth knowledge, personalized advice and spontaneity were identified as important improvements. Virtual health assistants should ensure an adequate knowledge base and ability to recognize intents and entities, include personality and spontaneity, and provide ongoing technical troubleshooting of the virtual assistant to ensure the assistant remains effective.

摘要

人工智能虚拟健康助手是一种有前途的新兴技术。本研究是对虚拟助手“Paola”提供的为期 12 周的体力活动和饮食计划的试点进行的过程评估。这是一项单臂重复测量研究(n=28,年龄 45-75 岁),评估了技术性能(对话交流的准确性)、参与度(每周完成的检查次数)、依从性(步数目标和推荐食物份量的百分比)和用户反馈。Paola 在检查过程中正确地提出了预设问题,并分别有 97%和 96%的时间对参与者做出了回应,但正确回应自发交流的时间仅为 21%。参与者完成了 63%的每周检查,并进行了总共 3648 次交流。平均饮食依从率为 91%,对随意性食物、谷物、红色肉类和蔬菜的依从率最低。参与者有 59%的时间达到了他们的步数目标。参与者喜欢该计划,并在检查过程中发现 Paola 很有用,但在自发交流中却不然。更深入的知识、个性化的建议和自发性被认为是重要的改进。虚拟健康助手应确保有足够的知识库和识别意图和实体的能力,包括个性和自发性,并提供对虚拟助手的持续技术故障排除,以确保助手保持有效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33af/7729471/c2601c9df1b3/ijerph-17-09137-g001.jpg

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