Design and formative evaluation of a virtual voice-based coach for problem-solving treatment: Observational study

BACKGROUND: Artificial intelligence has provided new opportunities for human interactions with technology for the practice of medicine. Among the recent artificial intelligence innovations, personal voice assistants have been broadly adopted. This highlights their potential for health care-related applications such as behavioral counseling to promote healthy lifestyle habits and emotional well-being. However, the use of voice-based applications for behavioral therapy has not been previously evaluated. OBJECTIVE: This study aimed to conduct a formative user evaluation of Lumen, a virtual voice-based coach developed as an Alexa skill that delivers evidence-based, problem-solving treatment for patients with mild to moderate depression and/or anxiety. METHODS: A total of 26 participants completed 2 therapy sessions-an introductory (session 1) and a problem-solving (session 2)-with Lumen. Following each session with Lumen, participants completed user experience, task-related workload, and work alliance surveys. They also participated in semistructured interviews addressing the benefits, challenges and barriers to Lumen use, and design recommendations. We evaluated the differences in user experience, task load, and work alliance between sessions using 2-tailed paired t tests. Interview transcripts were coded using an inductive thematic analysis to characterize the participants\u27 perspectives regarding Lumen use. RESULTS: Participants found Lumen to provide high pragmatic usability and favorable user experience, with marginal task load during interactions for both Lumen sessions. However, participants experienced a higher temporal workload during the problem-solving session, suggesting a feeling of being rushed during their communicative interactions. On the basis of the qualitative analysis, the following themes were identified: Lumen\u27s on-demand accessibility and the delivery of a complex problem-solving treatment task with a simplistic structure for achieving therapy goals; themes related to Lumen improvements included streamlining and improved personalization of conversations, slower pacing of conversations, and providing additional context during therapy sessions. CONCLUSIONS: On the basis of an in-depth formative evaluation, we found that Lumen supported the ability to conduct cognitively plausible interactions for the delivery of behavioral therapy. Several design suggestions identified from the study including reducing temporal and cognitive load during conversational interactions, developing more natural conversations, and expanding privacy and security features were incorporated in the revised version of Lumen. Although further research is needed, the promising findings from this study highlight the potential for using Lumen to deliver personalized and accessible mental health care, filling a gap in traditional mental health services

MRCIAC: A Mixed Reality Conversational Intelligent Agent Companion in Cars for Supporting Travel Experience

This thesis investigates how a Mixed Reality Conversational Intelligent Agent Companion in Cars (MRCIAC) can enhance the travel experience of individuals in unfamiliar cities by addressing four main problems: difficulty finding popular locations, lack of a travel buddy, complex in-car human-machine interaction, and neglecting passenger experience. The research approach includes three methodologies: Research Through Design (RTD), Prototype Iteration, and Descriptive Design Evaluation. The study creates and evaluates three types of prototypes, including mobile applications, Virtual Reality (VR) and Mixed Reality (MR), to demonstrate the potential of mixed reality intelligent agents to revolutionize human-computer interaction in transportation and improve the travel experience. The outcomes of this research demonstrate the potential of MRCIAC to provide a companion for the owner and passengers on a trip. It is hoped that further research in this area will lead to exciting new developments and improvements in transportation