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Explaining Call Recommendations in Nursing Homes: a User-Centered Design Approach for Interacting with Knowledge-Based Health Decision Support Systems

Published: 22 March 2022 Publication History

Abstract

Recommender systems are increasingly used in high-risk application domains, including healthcare. It has been shown that explanations are crucial in this context to support decision-making. This paper explores how to explain call recommendations to nursing home staff, providing insights into call priority, notifications, and resident information. We present the design and implementation of a recommender engine and a mobile application designed to support call recommendations and explain these recommendations that may contribute to residents’ safety and quality of care. More specifically, we report on the results of a user-centered design approach with residents (N=12) and healthcare professionals (N=4), and a final evaluation (N=12) after four months of deployment. The results show that our design approach provides a valuable tool for more accurate and efficient decision-making. The overall system encourages nursing home staff to provide feedback and annotate, resulting in more confidence in the system. We discuss usability issues, challenges, and reflections to be considered in future health recommender systems.

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  • (2025)An Explanation Interface for Healthy Food Recommendations in a Real-Life Workplace Deployment: User-Centered Design StudyJMIR mHealth and uHealth10.2196/5127113(e51271-e51271)Online publication date: 11-Feb-2025
  • (2024)Reassuring, Misleading, Debunking: Comparing Effects of XAI Methods on Human DecisionsACM Transactions on Interactive Intelligent Systems10.1145/366564714:3(1-36)Online publication date: 22-May-2024
  • (2023)Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If ExplorationsProceedings of the 28th International Conference on Intelligent User Interfaces10.1145/3581641.3584075(204-219)Online publication date: 27-Mar-2023
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          cover image ACM Conferences
          IUI '22: Proceedings of the 27th International Conference on Intelligent User Interfaces
          March 2022
          888 pages
          ISBN:9781450391443
          DOI:10.1145/3490099
          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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          Published: 22 March 2022

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          View all
          • (2025)An Explanation Interface for Healthy Food Recommendations in a Real-Life Workplace Deployment: User-Centered Design StudyJMIR mHealth and uHealth10.2196/5127113(e51271-e51271)Online publication date: 11-Feb-2025
          • (2024)Reassuring, Misleading, Debunking: Comparing Effects of XAI Methods on Human DecisionsACM Transactions on Interactive Intelligent Systems10.1145/366564714:3(1-36)Online publication date: 22-May-2024
          • (2023)Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If ExplorationsProceedings of the 28th International Conference on Intelligent User Interfaces10.1145/3581641.3584075(204-219)Online publication date: 27-Mar-2023
          • (2023)Resilience Through Appropriation: Pilots’ View on Complex Decision SupportProceedings of the 28th International Conference on Intelligent User Interfaces10.1145/3581641.3584056(397-409)Online publication date: 27-Mar-2023

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