A multidisciplinary survey and framework for design and evaluation of explainable AI systems
The need for interpretable and accountable intelligent systems grows along with the
prevalence of artificial intelligence (AI) applications used in everyday life. Explainable AI …
prevalence of artificial intelligence (AI) applications used in everyday life. Explainable AI …
Psychological factors underlying attitudes toward AI tools
J De Freitas, S Agarwal, B Schmitt… - Nature Human Behaviour, 2023 - nature.com
What are the psychological factors driving attitudes toward artificial intelligence (AI) tools,
and how can resistance to AI systems be overcome when they are beneficial? Here we first …
and how can resistance to AI systems be overcome when they are beneficial? Here we first …
Explanations in autonomous driving: A survey
The automotive industry has witnessed an increasing level of development in the past
decades; from manufacturing manually operated vehicles to manufacturing vehicles with a …
decades; from manufacturing manually operated vehicles to manufacturing vehicles with a …
[HTML][HTML] Effects of Explainable Artificial Intelligence on trust and human behavior in a high-risk decision task
Understanding the recommendations of an artificial intelligence (AI) based assistant for
decision-making is especially important in high-risk tasks, such as deciding whether a …
decision-making is especially important in high-risk tasks, such as deciding whether a …
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 …
Challenges of human—machine collaboration in risky decision-making
The purpose of this paper is to delineate the research challenges of human—machine
collaboration in risky decision-making. Technological advances in machine intelligence …
collaboration in risky decision-making. Technological advances in machine intelligence …
[HTML][HTML] Modelling perceived risk and trust in driving automation reacting to merging and braking vehicles
Perceived risk and trust are crucial for user acceptance of driving automation. In this study,
we identify important predictors of perceived risk and trust in a driving simulator experiment …
we identify important predictors of perceived risk and trust in a driving simulator experiment …
Who needs explanation and when? Juggling explainable AI and user epistemic uncertainty
In recent years, AI explainability (XAI) has received wide attention. Although XAI is expected
to play a positive role in decision-making and advice acceptance, various opposing effects …
to play a positive role in decision-making and advice acceptance, various opposing effects …
Developing human-machine trust: Impacts of prior instruction and automation failure on driver trust in partially automated vehicles
J Lee, G Abe, K Sato, M Itoh - … research part F: traffic psychology and …, 2021 - Elsevier
To prompt the use of driving automation in an appropriate and safe manner, system
designers require knowledge about the dynamics of driver trust. To enhance this knowledge …
designers require knowledge about the dynamics of driver trust. To enhance this knowledge …
Calibrating pedestrians' trust in automated vehicles: does an intent display in an external HMI support trust calibration and safe crossing behavior?
Policymakers recommend that automated vehicles (AVs) display their automated driving
status using an external human-machine interface (eHMI). However, previous studies …
status using an external human-machine interface (eHMI). However, previous studies …