Measurement of trust in automation: A narrative review and reference guide
With the rise of automated and autonomous agents, research examining Trust in Automation
(TiA) has attracted considerable attention over the last few decades. Trust is a rich and …
(TiA) has attracted considerable attention over the last few decades. Trust is a rich and …
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 …
Trust in robots: Challenges and opportunities
Abstract Purpose of Review To assess the state-of-the-art in research on trust in robots and
to examine if recent methodological advances can aid in the development of trustworthy …
to examine if recent methodological advances can aid in the development of trustworthy …
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 …
Trust and the compliance–reliance paradigm: The effects of risk, error bias, and reliability on trust and dependence
Objective: This study provides a theoretical link between trust and the compliance–reliance
paradigm. We propose that for trust mediation to occur, the operator must be presented with …
paradigm. We propose that for trust mediation to occur, the operator must be presented with …
CX-ToM: Counterfactual explanations with theory-of-mind for enhancing human trust in image recognition models
We propose CX-ToM, short for counterfactual explanations with theory-of-mind, a new
explainable AI (XAI) framework for explaining decisions made by a deep convolutional …
explainable AI (XAI) framework for explaining decisions made by a deep convolutional …
The effects of personality and locus of control on trust in humans versus artificial intelligence
Introduction We are increasingly exposed to applications that embed some sort of artificial
intelligence (AI) algorithm, and there is a general belief that people trust any AI-based …
intelligence (AI) algorithm, and there is a general belief that people trust any AI-based …
Towards augmenting cyber-physical-human collaborative cognition for human-automation interaction in complex manufacturing and operational environments
The importance of augmenting human-technology collaborative cognition has been
envisioned as one of the fundamental ways to bolster human cognition through human …
envisioned as one of the fundamental ways to bolster human cognition through human …
The measurement of the propensity to trust automation
In recent years, there has been a focus on not just how people work with automation, but
how humans interact with and rely on automation in human-automation teams. Few studies …
how humans interact with and rely on automation in human-automation teams. Few studies …
What's driving me? Exploration and validation of a hierarchical personality model for trust in automated driving
Objective This paper presents a comprehensive investigation of personality traits related to
trust in automated vehicles. A hierarchical personality model based on 3M model is explored …
trust in automated vehicles. A hierarchical personality model based on 3M model is explored …