一个基于聊天机器人的世界卫生组织验证的自我帮助加上应激管理干预的聊天机器人版本:共同设计和可用性测试
Valentina Fietta1,2, Silvia Rizzi1, Chiara De Luca3
1Fondazione Bruno Kessler, Trento, Italy.
这项研究将Self-Help Plus干预措施适应为孕妇和乳腺癌患者的移动健康应用程序. 用户反强调了易于使用和有吸引力的内容,表明聊天机器人提供的支持工具的潜力.
科学领域:
- 数字健康干预措施 数字健康干预措施
- 移动健康 (mHealth) 服务提供商
- 行为干预适应行为干预适应
背景情况:
- 技术进步在压力时期为弱势群体提供支持.
- 孕妇和患有乳腺癌的妇女面临着重大的生理和心理挑战.
研究的目的:
- 适应和共同设计世界卫生组织的自助加介入作为移动健康 (mHealth) 应用程序.
- 为孕妇和被诊断为乳腺癌的妇女量身定制干预措施.
主要方法:
- 根据已建立的模型 (与肥胖相关的行为干预试验,电子健康研究和疾病管理中心) 开发了低保真和高保真原型.
- 评估原型与13个领域专家和15个目标用户.
- 评估可用性,吸引力和功能,使用语义差异量表,移动应用评级量表 (MARS) 和半结构面试.
主要成果:
- 参与者报告了关于易用性,语言适当性和多媒体内容的积极看法.
- 改进的关键领域包括通过提醒,监控和个性化增强用户参与度.
- 对干预的内容质量和遵守协议的评价是积极的.
结论:
- 该研究为改善支持性护理mHealth应用程序的可用性和有效性提供了见解.
- 一个聊天机器人提供的自助加插入显示承诺作为孕妇和乳腺癌患者的支持工具.
- 进一步的研究可以提高这种数字干预措施的有效性和参与度.
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