Voice-Based Conversational Agents for self-reporting fluid consumption and sleep quality
Abdalsalam Almzayyen, Angel Vela de la Garza Evia, Nick Coronato,, Mehdi Boukhechba

TL;DR
This paper presents the development and testing of voice-based conversational agents, FluidMonitor and Sleepy, designed for at-home self-reporting of fluid intake and sleep quality, demonstrating user satisfaction and integration into daily routines.
Contribution
Introduces two novel voice-based agents for health self-monitoring, highlighting their design, implementation, and positive user feedback in real-world settings.
Findings
High user satisfaction with ease of use and likeability
Successful integration into daily routines
Potential to augment health monitoring capacity
Abstract
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…
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Taxonomy
TopicsAI in Service Interactions · Digital Mental Health Interventions · Mobile Health and mHealth Applications
