When Confidence Meets Accuracy: Exploring the Effects of Multiple Performance Indicators on Trust in Machine Learning Models-Reference-Cited by-同舟云学术

When Confidence Meets Accuracy: Exploring the Effects of Multiple Performance Indicators on Trust in Machine Learning Models

Published:2022-04-29 Issue: Volume: Page:
ISSN:
Container-title:CHI Conference on Human Factors in Computing Systems
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Author:

Rechkemmer Amy¹,Yin Ming²

Affiliation:

1. Department of Computer Science, Purdue University, United States

2. Purdue University, United States

Funder

NSF (National Science Foundation)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3491102.3501967

Reference62 articles.

1. Guidelines for Human-AI Interaction

2. Towards improving trust in context-aware systems by displaying system confidence

3. Evaluating the Effects of Displaying Uncertainty in Context-Aware Applications

4. Gagan Bansal , Besmira Nushi , Ece Kamar , Walter S. Lasecki , Daniel S. Weld , and Eric Horvitz . 2019 . Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance . In Proceedings of the Seventh AAAI Conference on Human Computation and Crowdsourcing. Gagan Bansal, Besmira Nushi, Ece Kamar, Walter S. Lasecki, Daniel S. Weld, and Eric Horvitz. 2019. Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance. In Proceedings of the Seventh AAAI Conference on Human Computation and Crowdsourcing.

5. Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff

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