Metrics for explainable AI: Challenges and prospects
The question addressed in this paper is: If we present to a user an AI system that explains
how it works, how do we know whether the explanation works and the user has achieved a …
how it works, how do we know whether the explanation works and the user has achieved a …
[PDF][PDF] Overreliance on AI literature review
S Passi, M Vorvoreanu - Microsoft Research, 2022 - microsoft.com
This report synthesizes~ 60 research papers about overreliance on AI. The papers originate
from a variety of disciplines, including Human-Computer Interaction (HCI); Human Factors; …
from a variety of disciplines, including Human-Computer Interaction (HCI); Human Factors; …
Explanations can reduce overreliance on ai systems during decision-making
H Vasconcelos, M Jörke… - Proceedings of the …, 2023 - dl.acm.org
Prior work has identified a resilient phenomenon that threatens the performance of human-
AI decision-making teams: overreliance, when people agree with an AI, even when it is …
AI decision-making teams: overreliance, when people agree with an AI, even when it is …
To trust or to think: cognitive forcing functions can reduce overreliance on AI in AI-assisted decision-making
People supported by AI-powered decision support tools frequently overrely on the AI: they
accept an AI's suggestion even when that suggestion is wrong. Adding explanations to the …
accept an AI's suggestion even when that suggestion is wrong. Adding explanations to the …
Effect of confidence and explanation on accuracy and trust calibration in AI-assisted decision making
Today, AI is being increasingly used to help human experts make decisions in high-stakes
scenarios. In these scenarios, full automation is often undesirable, not only due to the …
scenarios. In these scenarios, full automation is often undesirable, not only due to the …
Introduction matters: Manipulating trust in automation and reliance in automated driving
Trust in automation is a key determinant for the adoption of automated systems and their
appropriate use. Therefore, it constitutes an essential research area for the introduction of …
appropriate use. Therefore, it constitutes an essential research area for the introduction of …
Measures for explainable AI: Explanation goodness, user satisfaction, mental models, curiosity, trust, and human-AI performance
If a user is presented an AI system that portends to explain how it works, how do we know
whether the explanation works and the user has achieved a pragmatic understanding of the …
whether the explanation works and the user has achieved a pragmatic understanding of the …
[图书][B] Engineering psychology and human performance
Forming connections between human performance and design, this new edition of
Engineering Psychology and Human Performance examines human–machine interaction …
Engineering Psychology and Human Performance examines human–machine interaction …
Measuring and understanding trust calibrations for automated systems: a survey of the state-of-the-art and future directions
Trust has been recognized as a central variable to explain the resistance to using automated
systems (under-trust) and the overreliance on automated systems (over-trust). To achieve …
systems (under-trust) and the overreliance on automated systems (over-trust). To achieve …
Is trust in artificial intelligence systems related to user personality? Review of empirical evidence and future research directions
R Riedl - Electronic Markets, 2022 - Springer
Artificial intelligence (AI) refers to technologies which support the execution of tasks normally
requiring human intelligence (eg, visual perception, speech recognition, or decision …
requiring human intelligence (eg, visual perception, speech recognition, or decision …