Conversational agents have gained their ground in our daily life and various domains including healthcare. Chronic condition self-management is one of the promising healthcare areas in which conversational agents demonstrate significant potential to contribute to alleviating healthcare burdens from chronic conditions. This survey paper introduces and outlines types of conversational agents, their generic architecture and workflow, the implemented technologies, and their application to chronic condition self-management.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10519706 | PMC |
| http://dx.doi.org/10.1109/COMPSAC57700.2023.00162 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Exploring ChatGPT's communication behaviour in healthcare interactions: A psycholinguistic perspective.
Patient Educ Couns
January 2025
Department of Psychology, Catholic University of the Sacred Heart, Largo Gemelli 1, Milan, Italy.
Objectives: Conversational artificial agents such as ChatGPT are commonly used by people seeking healthcare information. This study investigates whether ChatGPT exhibits distinct communicative behaviors in healthcare settings based on the nature of the disorder (medical or psychological) and the user communication style (neutral vs. expressing concern).
View Article and Find Full Text PDFThe electronic health record as an interactional and epistemic resource: Insights from pediatric well-child visits.
Patient Educ Couns
January 2025
Department of Education Studies, University of Bologna, Via Filippo Re 6, Bologna, 40126, Italy. Electronic address:
Objective: Electronic health records (EHRs) have increasingly become integral to contemporary medical consultations, including pediatric care. This study aims at exploring the interactional use of the EHR during naturally occurring pediatric well-child visits, focusing specifically on how pediatricians and parents manage knowledge concerning infants' growth inscribed in the EHR.
Methods: Conversation analysis is used to analyze 23 video-recorded Italian well-child visits involving two pediatricians and twenty-two families with children aged 0-18 months.
AI Chatbots and Cognitive Control: Enhancing Executive Functions Through Chatbot Interactions: A Systematic Review.
Brain Sci
January 2025
Net Media Lab & Mind & Brain R&D, Institute of Informatics & Telecommunications, National Centre of Scientific Research 'Demokritos', 153 41 Agia Paraskevi, Greece.
: The evolution of digital technology enhances the broadening of a person's intellectual growth. Research points out that implementing innovative applications of the digital world improves human social, cognitive, and metacognitive behavior. Artificial intelligence chatbots are yet another innovative human-made construct.
View Article and Find Full Text PDFDeterminants of Familiarity and Experience with HIV Pre-Exposure Prophylaxis in Primary Care Providers in Ontario, Canada.
J Prim Care Community Health
January 2025
Division of Infectious Diseases, Department of Medicine, Queen's University, Kingston, Canada.
Background: Despite increased access to HIV pre-exposure prophylaxis (PrEP) in Canada, familiarity and experience among primary care providers (PCPs)-including family doctors and those working with key populations-remains limited. To understand the barriers and facilitators of PrEP familiarity and experience, we conducted a situational analysis in PCPs in sub-urban and rural Ontario.
Methods: We surveyed a non-probabilistic sample of PCPs using an online questionnaire, designed with the Consolidated Framework for Implementation Research (CFIR).
Say Real-time Linguistic Guidance Supports Novices in Writing Utterances for Conversational Agent Training.
Proc 6th ACM Conf Conversat User Interfaces (2024)
July 2024
IBM Research, Cambridge, MA, USA.
Writing utterances to train conversational agents can be a challenging and time-consuming task, and usually requires substantial expertise, meaning that novices face a steep learning curve. We investigated whether novices could be guided to produce utterances that adhere to best practices via an intervention of real-time linguistic feedback. We conducted a user study in which participants were tasked with writing training utterances for a particular topic () for a conversational agent.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!