Abstract
Persuasive XAI, also known as Persuasive Explainable Artificial Intelligence, refers to the combination of two concepts: explainable artificial intelligence (XAI) and persuasive technology. Persuasive XAI can be applied in decision-support systems in the healthcare domain in various ways to enhance the perception of patients about the outcomes, encourage adherence to treatment plans, and improve overall patient or clinician engagement. In this paper, we aim to analyze state-of-the-art persuasion strategies used in XAI and discuss how to apply them in Clinical Decision Support Systems (CDSS) to support clinicians and patients in making healthcare-related decisions.
Original language | English |
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Title of host publication | Proceedings - 2023 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023 |
Editors | Xingpeng Jiang, Haiying Wang, Reda Alhajj, Xiaohua Hu, Felix Engel, Mufti Mahmud, Nadia Pisanti, Xuefeng Cui, Hong Song |
Publisher | IEEE |
Pages | 2983-2989 |
Number of pages | 7 |
ISBN (Electronic) | 979-8-3503-3748-8 |
DOIs | |
Publication status | Published - 18 Jan 2024 |
Event | 2023 IEEE International Conference on Bioinformatics and Biomedicine - Istanbul, Turkey Duration: 5 Dec 2023 → 8 Dec 2023 |
Conference
Conference | 2023 IEEE International Conference on Bioinformatics and Biomedicine |
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Abbreviated title | BIBM |
Country/Territory | Turkey |
City | Istanbul |
Period | 5/12/23 → 8/12/23 |
Keywords
- Clinical Decision Support Systems
- Explainable AI
- Explanations
- Influential Principles
- Machine-Learning
- Persuasive Techniques
- Predictive Modelling
- Recommender Systems
ASJC Scopus subject areas
- Computer Science(all)
- Artificial Intelligence
- Computer Science Applications
- Computer Vision and Pattern Recognition
- Automotive Engineering
- Modelling and Simulation
- Health Informatics
Fields of Expertise
- Human- & Biotechnology