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用户和提供者与健康教育聊天机器人的体验:定性系统审查
Кyung-Eun Anna Choi1,2,3, Sebastian Fitzek1
1Health Services Research Group, Medical Images Analysis and Artificial Intelligence, Danube Private University, Steiner Landstraße 124, Krems an der Donau, 3500, Austria, 43 0734102289.
聊天机器人对健康教育和行为改变有希望. 解决用户信任,隐私和理论基础是最大限度地提高其影响和在医疗保健环境中采用的关键.
科学领域:
- 数字健康数字健康
- 人与计算机的交互
- 卫生教育卫生教育教育
背景情况:
- 聊天机器人为健康教育和行为改变干预提供了潜力.
- 对医疗聊天机器人的用户和提供者体验的定性见解尚未得到充分探索.
- 调查的关键领域包括用户/提供商的经验,采用因素和理论框架的整合.
研究的目的:
- 系统地审查用户和提供者对健康聊天机器人的体验的定性证据.
- 识别卫生聊天机器人采用的促进者和障碍者.
- 检查理论框架在健康聊天机器人的设计中的作用.
主要方法:
- 在PubMed,Cochrane图书馆和ScienceDirect (2018-2023) 的系统搜索.
- 包括对健康聊天机器人在教育/行为改变中的使用进行定性或混合方法研究.
- 使用乔安娜·布里格斯研究所的检查清单和主题分析进行质量评估.
主要成果:
- 包括来自10个国家的27项研究.
- 用户体验强调了同情和情感联系的重要性.
- 促进者包括可访问性和易用性;障碍物包括信任缺陷,技术问题和文化不一致.
- 行为变化理论在聊天机器人设计中未得到充分利用,尽管有动机的潜力.
结论:
- 健康聊天机器人有很大的潜力,但需要注意隐私,信任和理论基础.
- 克服采用障碍对于广泛影响至关重要.
- 未来的研究应该集中在文化适应性和伦理设计方面的考虑.
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