تقرير
Mean Opinion Score as a New Metric for User-Evaluation of XAI Methods
| العنوان: | Mean Opinion Score as a New Metric for User-Evaluation of XAI Methods |
|---|---|
| المؤلفون: | Yu, Hyeon, Benois-Pineau, Jenny, Bourqui, Romain, Giot, Romain, Zhukov, Alexey |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Image and Video Processing, I.4.7 |
| الوصف: | This paper investigates the use of Mean Opinion Score (MOS), a common image quality metric, as a user-centric evaluation metric for XAI post-hoc explainers. To measure the MOS, a user experiment is proposed, which has been conducted with explanation maps of intentionally distorted images. Three methods from the family of feature attribution methods - Gradient-weighted Class Activation Mapping (Grad-CAM), Multi-Layered Feature Explanation Method (MLFEM), and Feature Explanation Method (FEM) - are compared with this metric. Additionally, the correlation of this new user-centric metric with automatic metrics is studied via Spearman's rank correlation coefficient. MOS of MLFEM shows the highest correlation with automatic metrics of Insertion Area Under Curve (IAUC) and Deletion Area Under Curve (DAUC). However, the overall correlations are limited, which highlights the lack of consensus between automatic and user-centric metrics. Comment: Supported by organization Laboratoire Bordelais de Recherche en Informatique, 15 pages, 4 figures, 3 tables |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2407.20427 |
| رقم الأكسشن: | edsarx.2407.20427 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |