arXiv:2507.16735cs.HCcs.AI2025-07被引 1

针对哮喘患者设计可提升参与度的聊天机器人,探索有效支持方案

AI-enhanced conversational agents for personalized asthma support Factors for engagement, value and efficacy

  • 基于临床与患者共同设计的问卷调查,识别影响参与的关键因素
  • 53%成人哮喘患者愿使用聊天机器人,尤以自我管理信心低者更积极
  • 24小时服务、个性化内容及通过WhatsApp接入最受青睐

英国哮喘相关死亡率居欧洲首位,仅30%患者获得基本照护。亟需替代方式为哮喘患者提供健康教育、自我管理支持及就医桥梁。自动化对话代理(特别是移动聊天机器人)可提供个性化健康教育、自我管理支持和风险自评。但患者是否愿意使用?哪些因素影响参与?我们开展了一项由哮喘临床医生、患者和技术开发者共同设计的调查(N=1257),旨在识别聊天机器人在有效性、价值与参与度方面的优化因素。结果显示,53%的成年哮喘患者有兴趣使用聊天机器人,最可能使用的是认为自身病情更严重且自我管理信心较低者。同时,对24/7可及性、个性化服务以及通过WhatsApp访问表现出高度期待。主要障碍包括隐私安全担忧及对技术能力的怀疑。本文总结详细发现,并提出7条面向开发者的优化建议。

原文摘要 · Abstract (English)

Asthma-related deaths in the UK are the highest in Europe, and only 30% of patients access basic care. There is a need for alternative approaches to reaching people with asthma in order to provide health education, self-management support and bridges to care. Automated conversational agents (specifically, mobile chatbots) present opportunities for providing alternative and individually tailored access to health education, self-management support and risk self-assessment. But would patients engage with a chatbot, and what factors influence engagement? We present results from a patient survey (N=1257) devised by a team of asthma clinicians, patients, and technology developers, conducted to identify optimal factors for efficacy, value and engagement for a chatbot. Results indicate that most adults with asthma (53%) are interested in using a chatbot and the patients most likely to do so are those who believe their asthma is more serious and who are less confident about self-management. Results also indicate enthusiasm for 24/7 access, personalisation, and for WhatsApp as the preferred access method (compared to app, voice assistant, SMS or website). Obstacles to uptake include security/privacy concerns and skepticism of technological capabilities. We present detailed findings and consolidate these into 7 recommendations for developers for optimising efficacy of chatbot-based health support.

聊天机器人哮喘管理患者参与数字健康

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