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Designing an adaptive embodied conversational agent for health literacy

Egede, Joy, Trigo, Maria J. Galvez, Hazzard, Adrian, Porcheron, Martin, Bodiaj, Edgar, Fischer, Joel E., Greenhalgh, Chris and Valstar, Michel 2021. Designing an adaptive embodied conversational agent for health literacy. Presented at: IVA '21: Proceedings of the 21st ACM International Conference on Intelligent Virtual Agents, 14-17 September 2021. IVA '21: Proceedings of the 21st ACM International Conference on Intelligent Virtual Agents. ACM, 10.1145/3472306.3478350

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Abstract

ccess to healthcare advice is crucial to promote healthy societies. Many factors shape how access might be constrained, such as economic status, education or, as the COVID-19 pandemic has shown, remote consultations with health practitioners. Our work focuses on providing pre/post-natal advice to maternal women. A salient factor of our work concerns the design and deployment of embodied conversation agents (ECAs) which can sense the (health) literacy of users and adapt to scaffold user engagement in this setting. We present an account of a Wizard of Oz user study of 'ALTCAI', an ECA with three modes of interaction (i.e., adaptive speech and text, adaptive ECA, and non-adaptive ECA). We compare reported engagement with these modes from 44 maternal women who have differing levels of literacy. The study shows that a combination of embodiment and adaptivity scaffolds reported engagement, but matters of health-literacy and language introduce nuanced considerations for the design of ECAs.

Item Type: Conference or Workshop Item (Paper)
Date Type: Published Online
Status: Published
Schools: Computer Science & Informatics
Additional Information: 14/06/21 - Date of acceptance provided
Publisher: ACM
ISBN: 9781450386197
Date of First Compliant Deposit: 11 April 2023
Date of Acceptance: 17 June 2021
Last Modified: 18 Apr 2023 10:45
URI: https://orca.cardiff.ac.uk/id/eprint/158580

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