A systematic review on fostering appropriate trust in Human-AI interaction: Trends, opportunities and challenges
Appropriate trust in Artificial Intelligence (AI) systems has rapidly become an important area
of focus for both researchers and practitioners. Various approaches have been used to …
of focus for both researchers and practitioners. Various approaches have been used to …
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 …
Cause-and-effect analysis of ADAS: A comparison study between literature review and complaint data
Advanced driver assistance systems (ADAS) are designed to improve vehicle safety.
However, it is difficult to achieve such benefits without understanding the causes and …
However, it is difficult to achieve such benefits without understanding the causes and …
Real-time trust prediction in conditionally automated driving using physiological measures
Trust calibration poses a significant challenge in the interaction between drivers and
automated vehicles (AVs) in the context of human-automation collaboration. To effectively …
automated vehicles (AVs) in the context of human-automation collaboration. To effectively …
Advancing explainable autonomous vehicle systems: A comprehensive review and research roadmap
Given the uncertainty surrounding how existing explainability methods for autonomous
vehicles (AVs) meet the diverse needs of stakeholders, a thorough investigation is …
vehicles (AVs) meet the diverse needs of stakeholders, a thorough investigation is …
A systematic review on fostering appropriate trust in human-AI interaction
S Mehrotra, C Degachi, O Vereschak… - arXiv preprint arXiv …, 2023 - arxiv.org
Appropriate Trust in Artificial Intelligence (AI) systems has rapidly become an important area
of focus for both researchers and practitioners. Various approaches have been used to …
of focus for both researchers and practitioners. Various approaches have been used to …
Disengagement cause-and-effect relationships extraction using an nlp pipeline
The advancement in machine learning and artificial intelligence promotes the testing and
deployment of autonomous vehicles (AVs) on public roads. The California Department of …
deployment of autonomous vehicles (AVs) on public roads. The California Department of …
Anticipated emotions associated with trust in autonomous vehicles
Trust in automation has been mainly studied in the cognitive perspective, though some
researchers have shown that trust is also influenced by emotion. Therefore, it is essential to …
researchers have shown that trust is also influenced by emotion. Therefore, it is essential to …
Learning with AI Assistance: A Path to Better Task Performance or Dependence?
With the proliferation of AI, there is a growing concern regarding individuals becoming overly
reliant on AI, leading to a decrease in intrinsic skills and autonomy. Assistive AI frameworks …
reliant on AI, leading to a decrease in intrinsic skills and autonomy. Assistive AI frameworks …
Trust calibration through perceptual and predictive information of the external context in autonomous vehicle
Maintaining an appropriate level of trust is critical for driving safety in autonomous vehicles.
While enhancing the driver's situation awareness (SA) of system information in autonomous …
While enhancing the driver's situation awareness (SA) of system information in autonomous …