Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
What Are the Users’ Needs? Design of a User-Centered Explainable Artificial Intelligence Diagnostic System
33
Zitationen
4
Autoren
2022
Jahr
Abstract
The application of artificial intelligence (AI) systems has surged in the high-risk area of medicine, and these systems must explain their decisions to different users. However, existing explainable AI (XAI) design practices in the medical domain are mostly focused on domain experts, such as physicians, and there is a lack of XAI design practices for consumer users. Therefore, we developed a library of XAI user needs in the medical domain, which can be used as an auxiliary tool for the development of user-centered XAI design solutions in this domain. Moreover, through empirical research, based on our XAI user Needs Library, we designed an XAI-based electrocardiogram diagnostic system prototype for consumer users and conducted a user evaluation. The results provide the empirical experience of the design space of XAI and promote consumer user-centered XAI practices.
Ähnliche Arbeiten
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
2017 · 20.253 Zit.
Generative Adversarial Nets
2023 · 19.841 Zit.
Visualizing and Understanding Convolutional Networks
2014 · 15.230 Zit.
"Why Should I Trust You?"
2016 · 14.156 Zit.
On a Method to Measure Supervised Multiclass Model’s Interpretability: Application to Degradation Diagnosis (Short Paper)
2024 · 13.093 Zit.