Presentation
45. The Design and Features of Text-Based Conversational Agents in Healthcare Applications: A Literature Review
SessionPoster Session 1
DescriptionConversational agents (CAs) are designed to simulate human-to-human conversation via text or speech by generating responses through either rule-based or generative methods. The use of CAs in healthcare has been increasing due to the demand for convenient conversational service in various domains, such as mental health, hypertension education, support for cancer patients, and sexual and reproductive health. Text-based chatbots are generally cheaper and easier to create and maintain, require less internet bandwidth, and may have the potential to reach a wider population of users on mobile devices. Thus, the specific design considerations for text-based healthcare CAs are crucial for understanding both their usability and to identify and evaluate their effectiveness. This poster aims to provide a review of specific design considerations applied to text-based healthcare CAs, including how they are defined and implemented, how user experiences were assessed, as well as the outcomes associated with interacting with CAs.
Event Type
Poster
TimeWednesday, September 11th5:30pm - 6:30pm MST
LocationMcArthur Ballroom
Aerospace Systems
Cognitive Engineering & Decision Making
Computer Systems
Forensics Professional
Health Care
Human Performance Modeling
Individual Differences in Performance
Perception and Performance
Product Design
Safety
Training
Usability and System Evaluation
Extended Reality