An Intelligent Empowering Agent (IEA) to Provide Easily Understood and Trusted Health Information Appropriate to the User Needs

Marco Alfano*, John Kellett, Biagio Lenzitti, Markus Helfert

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Most members of the public, including patients, usually obtain health information from Web searches using generic search engines, which is often overwhelming, too generic, and of poor quality. Although patients may be better informed, they are often none the wiser and not empowered to communicate with medical professionals so that their care is compatible with their needs, values, and best interests. Intelligent Empowering Agents (IEA) use AI to filter medical information and assist the user in the understanding of health information about specific complaints or health in general. We have designed and developed a prototype of an IEA that dialogues with the user in simple language, collects health information from the Web, and provides tailored, easily understood, and trusted information. It empowers users to create their own comprehensive and objective opinion on health matters that concern them. This paper describes the IEA main characteristics and presents the results of subjective and objective tests carried out to assess the effectiveness of the IEA.

Original languageEnglish
Title of host publicationArtificial Intelligence and Cognitive Science : 30th Irish Conference, AICS 2022 Munster, Ireland, December 8–9, 2022 Revised Selected Papers
EditorsLuca Longo, Ruairi O’Reilly
Number of pages14
PublisherSpringer Science+Business Media
Publication date2023
Pages175-188
ISBN (Print)9783031264375
DOIs
Publication statusPublished - 2023
Event30th Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2022 - Munster, Ireland
Duration: 8. Dec 20229. Dec 2022

Conference

Conference30th Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2022
Country/TerritoryIreland
CityMunster
Period08/12/202209/12/2022
SeriesCommunications in Computer and Information Science
Volume1662 CCIS
ISSN1865-0929

Bibliographical note

Publisher Copyright:
© 2023, The Author(s).

Keywords

  • Artificial Intelligence
  • Big data
  • Digital health
  • Intelligent agents
  • Machine learning
  • Patient empowerment
  • Tailored health communication

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