Authors:
Julio Oliveira
1
;
Telmo Silva
1
;
Rita Oliveira
1
and
Elizabeth Furtado
2
Affiliations:
1
Digimedia, Universidade de Aveiro, Aveiro, Portugal
;
2
Doutorado em Informática Aplicada, Universidade de Fortaleza, Fortaleza, Brazil
Keyword(s):
ECA, Embodied Conversational Agent, Hypertension, Older Adults.
Abstract:
This paper identifies recommendations for Embodied Conversational Agents (ECA) in Healthcare applications. The methodology employed consists of two systematic literature reviews in the fields of conversational systems and health care. Twenty-six recommendations for ECA were categorized into four groups: CS Interface, ECA Functionalities, Agent Behavior, ECA Customization Features, and Older Adults Engagement. Additionally, six Healthcare dimensions were identified: Interactive Learning, Disease-Specific Knowledge, Reinforcement, Emergency Detection, and Empathy/Rapport. These two sets of findings were combined for evaluation by a group of experts. The impact evaluation revealed six essential, two necessary, and eighteen desirable recommendations. The essential recommendations, derived from empirical methods, include the following: storing encrypted information, providing secure and accurate information to patients, facilitating interactive learning, allowing users to choose whether t
o enable proactive mode and ensuring ease of installation and use. The set of recommendations is an important contribution for ECA developers as this research presents.
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