Advances in human-computer interaction
Advances in human-computer interaction
Automated Telephone Conversations to Assess Health Behavior and Deliver Behavioral Interventions
Journal of Medical Systems - special issue: volume II. the international health evaluation conference, 1996
Guest editorial: human-centered computing in health information systems. Part 2: Evaluation
Journal of Biomedical Informatics - Special issue: Human-centered computing in health information systems. Part 2: Evaluation
How to write health dialog for a talking computer
Journal of Biomedical Informatics - Special issue: Dialog systems for health communications
Health dialog systems for patients and consumers
Journal of Biomedical Informatics - Special issue: Dialog systems for health communications
Relations between de-facto criteria in the evaluation of a spoken dialogue system
Speech Communication
CHI '09 Extended Abstracts on Human Factors in Computing Systems
Argumentative human computer dialogue for automated persuasion
SIGdial '08 Proceedings of the 9th SIGdial Workshop on Discourse and Dialogue
A reusable framework for health counseling dialogue systems based on a behavioral medicine ontology
Journal of Biomedical Informatics
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Automated health behavior interventions that involve discretionary use by patients or consumers over extended periods of time are becoming more common and it is generally assumed that adherence to the recommended schedule is related to the impact of the system on users. Yet reasons for use or non-use of such systems have not been carefully explored. An understanding of factors that influence people to use, not use, or underutilize these automated behavioral change and self-care management systems can help in designing systems that are more effective and acceptable to users. Using qualitative research methods, this study explored the experiences of 45 users of a multiple-contact health promotion application with the goal of understanding the major factors that affect patterns of use (frequency of and duration of contact). The in-depth exploration of users' perceptions and views made possible by the qualitative research methods revealed a number of important themes. Reported reasons for underutilization or non-use were found to be both user-related and system-related. User-related reasons encompassed personal and individual events that prevented or impeded system utilization. System-related reasons included those that related to the medium itself as well as the content of the application. The qualitative methods employed in this study created a forum through which users' feedback could be fully explored and then synthesized to assist in the improvement of this and other automated health behavior interventions.