Measurement of trust in automation: A narrative review and reference guide

SC Kohn, EJ De Visser, E Wiese, YC Lee… - Frontiers in …, 2021 - frontiersin.org
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 …

Metrics for explainable AI: Challenges and prospects

RR Hoffman, ST Mueller, G Klein, J Litman - arXiv preprint arXiv …, 2018 - arxiv.org
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 …

Trust in robots: Challenges and opportunities

BC Kok, H Soh - Current Robotics Reports, 2020 - Springer
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 …

Measures for explainable AI: Explanation goodness, user satisfaction, mental models, curiosity, trust, and human-AI performance

RR Hoffman, ST Mueller, G Klein… - Frontiers in Computer …, 2023 - frontiersin.org
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 …

Trust and the compliance–reliance paradigm: The effects of risk, error bias, and reliability on trust and dependence

ET Chancey, JP Bliss, Y Yamani… - Human …, 2017 - journals.sagepub.com
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 …

CX-ToM: Counterfactual explanations with theory-of-mind for enhancing human trust in image recognition models

AR Akula, K Wang, C Liu, S Saba-Sadiya, H Lu… - Iscience, 2022 - cell.com
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 …

The effects of personality and locus of control on trust in humans versus artificial intelligence

NN Sharan, DM Romano - Heliyon, 2020 - cell.com
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 …

Towards augmenting cyber-physical-human collaborative cognition for human-automation interaction in complex manufacturing and operational environments

J Jiao, F Zhou, NZ Gebraeel, V Duffy - International Journal of …, 2020 - Taylor & Francis
The importance of augmenting human-technology collaborative cognition has been
envisioned as one of the fundamental ways to bolster human cognition through human …

The measurement of the propensity to trust automation

SA Jessup, TR Schneider, GM Alarcon, TJ Ryan… - … 2019, Held as Part of the …, 2019 - Springer
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 …

What's driving me? Exploration and validation of a hierarchical personality model for trust in automated driving

J Kraus, D Scholz, M Baumann - Human factors, 2021 - journals.sagepub.com
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 …