论文标题

基于语音的对话剂,用于自我报告的流体消耗和睡眠质量

Voice-Based Conversational Agents for self-reporting fluid consumption and sleep quality

论文作者

Almzayyen, Abdalsalam, Evia, Angel Vela de la Garza, Coronato, Nick, Boukhechba, Mehdi

论文摘要

智能对话代理商和虚拟助手(例如聊天机器人和语音助手)具有增强卫生服务能力以筛查症状并提供医疗保健干预措施的能力。在本文中,我们在Google Actions控制台中开发了基于语音的对话代理(VCA),以进行定期自我评估健康调查。本文的重点是适应具有特定液体消耗要求或睡眠障碍的患者的自我监控。我们的VCA被称为FluidMonitor和Sleepy,已经过测试,以自然地整合到患者的日常生活方式中,以提供有用的干预措施。我们展示了我们的Google行动的功能,并讨论了将VCA用作家庭自我报告的调查技术的考虑因素。用户测试表现出对VCA的易用性,可爱性和负担水平的满意度。

Intelligent conversational agents and virtual assistants, such as chatbots and voice assistants, have the potential of augmenting health service capacity to screen symptoms and deliver healthcare interventions. In this paper, we developed voice-based conversational agents (VCAs) in the Google Actions Console to deliver periodic self-assessment health surveys. The focus of this paper is to accommodate self-monitoring for patients with specific fluid consumption requirements or sleep disorders. Our VCAs, named FluidMonitor and Sleepy, have been tested to integrate naturally into a patient's daily lifestyle for the purpose of providing useful interventions. We show the functionality of our Google Actions and discuss the considerations for using VCAs as an at-home self-reporting survey technique. User testing showed satisfaction with the ease of use, likeability, and burden level of the VCAs.

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