Evaluating the DI@L-log System on a Cohort of Elderly, Diabetic Patients: Results from a Preliminary Study

LA Black; MF McTear; ND Black; R Harper; M Lemon

Evaluating the DI@L-log System on a Cohort of Elderly, Diabetic Patients: Results from a Preliminary Study

LA Black, MF McTear, ND Black, R Harper, M Lemon

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

DI@L-log is an automated medical spoken dialogue system designed to enable patients to regularly communicate health data to the point-of-care over the telephone. In order to investigate the performance of the system, a preliminary evaluation was conducted using 5 novice hypertensive diabetic patients from the Ulster Hospital in Northern Ireland. The purpose of the study was to assess several factors which need to be addressed when designing spoken dialogue systems for elderly, disabled users. We examined the performance of the system, the interaction preferences of the user and their usage patterns, the level of user satisfaction, and the impact of the system on the patient’s health over time. A revised version of the system, modified to take account of findings from this study, is currently undergoing testing with a larger group of subjects.

Original language	English
Title of host publication	Unknown Host Publication
Publisher	International Society for Computers and Their Applications
Pages	821-824
Number of pages	4
ISBN (Print)	1018-4074 CDROM
Publication status	Published - Sep 2005
Event	Interspeech2005, 9th European Conference on Speech Communication and Technology - Lisbon Duration: 1 Sep 2005 → …

Conference

Conference	Interspeech2005, 9th European Conference on Speech Communication and Technology
Period	1/09/05 → …

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abstract = "DI@L-log is an automated medical spoken dialogue system designed to enable patients to regularly communicate health data to the point-of-care over the telephone. In order to investigate the performance of the system, a preliminary evaluation was conducted using 5 novice hypertensive diabetic patients from the Ulster Hospital in Northern Ireland. The purpose of the study was to assess several factors which need to be addressed when designing spoken dialogue systems for elderly, disabled users. We examined the performance of the system, the interaction preferences of the user and their usage patterns, the level of user satisfaction, and the impact of the system on the patient{\textquoteright}s health over time. A revised version of the system, modified to take account of findings from this study, is currently undergoing testing with a larger group of subjects.",

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AU - Harper, R

AU - Lemon, M

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N2 - DI@L-log is an automated medical spoken dialogue system designed to enable patients to regularly communicate health data to the point-of-care over the telephone. In order to investigate the performance of the system, a preliminary evaluation was conducted using 5 novice hypertensive diabetic patients from the Ulster Hospital in Northern Ireland. The purpose of the study was to assess several factors which need to be addressed when designing spoken dialogue systems for elderly, disabled users. We examined the performance of the system, the interaction preferences of the user and their usage patterns, the level of user satisfaction, and the impact of the system on the patient’s health over time. A revised version of the system, modified to take account of findings from this study, is currently undergoing testing with a larger group of subjects.

AB - DI@L-log is an automated medical spoken dialogue system designed to enable patients to regularly communicate health data to the point-of-care over the telephone. In order to investigate the performance of the system, a preliminary evaluation was conducted using 5 novice hypertensive diabetic patients from the Ulster Hospital in Northern Ireland. The purpose of the study was to assess several factors which need to be addressed when designing spoken dialogue systems for elderly, disabled users. We examined the performance of the system, the interaction preferences of the user and their usage patterns, the level of user satisfaction, and the impact of the system on the patient’s health over time. A revised version of the system, modified to take account of findings from this study, is currently undergoing testing with a larger group of subjects.

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