CARMIE

Author:

Lobo Joana1,Ferreira Liliana1,Ferreira Aníbal JS2

Affiliation:

1. Fraunhofer Portugal AICOS, Porto, Portugal

2. University of Porto, Porto, Portugal

Abstract

The incidence of chronic diseases is increasing and monitoring patients in a home environment is recommended. Noncompliance with prescribed medication regimens is a concern, especially among older people. Heart failure is a chronic disease that requires patients to follow strict medication plans permanently. With the objective of helping these patients managing information about their medicines and increasing adherence, the personal medication advisor CARMIE was developed as a conversational agent capable of interacting, in Portuguese, with users through spoken natural language. The system architecture is based on a language parser, a dialog manager, and a language generator, integrated with already existing tools for speech recognition and synthesis. All modules work together and interact with the user through an Android application, supporting users to manage information about their prescribed medicines. The authors also present a preliminary usability study and further considerations on CARMIE.

Publisher

IGI Global

Subject

Health Informatics,Computer Science Applications

Reference44 articles.

1. Aguiar, B. L., Mendes, E., & Ferreira, L. (2012). Information extraction from medication leaflets. Paper presented at1st PhD Students Conference in Electrical and Computer Engineering, Porto.

2. Chester: Towards a personal medication advisor

3. Does mHealth increase adherence to medication? Results of a systematic review

4. Apache UIMA Development Community. (2011). Tagger Annotator Documentation - version 2.3.1. Retrieved from https://uima.apache.org/d/uima-addons-current/Tagger/hmmTaggerUsersGuide.html

5. Semi-formal Evaluation of Conversational Characters

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