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 …

Trusting automation: Designing for responsivity and resilience

EK Chiou, JD Lee - Human factors, 2023 - journals.sagepub.com
Objective This paper reviews recent articles related to human trust in automation to guide
research and design for increasingly capable automation in complex work environments …

Human–machine teaming is key to AI adoption: clinicians' experiences with a deployed machine learning system

KE Henry, R Kornfield, A Sridharan, RC Linton… - NPJ digital …, 2022 - nature.com
While a growing number of machine learning (ML) systems have been deployed in clinical
settings with the promise of improving patient care, many have struggled to gain adoption …

[HTML][HTML] Evaluating XAI: A comparison of rule-based and example-based explanations

J van der Waa, E Nieuwburg, A Cremers, M Neerincx - Artificial intelligence, 2021 - Elsevier
Abstract Current developments in Artificial Intelligence (AI) led to a resurgence of
Explainable AI (XAI). New methods are being researched to obtain information from AI …

[HTML][HTML] Human-centered XAI: Developing design patterns for explanations of clinical decision support systems

TAJ Schoonderwoerd, W Jorritsma, MA Neerincx… - International Journal of …, 2021 - Elsevier
Much of the research on eXplainable Artificial Intelligence (XAI) has centered on providing
transparency of machine learning models. More recently, the focus on human-centered …

Success factors for introducing industrial human-robot interaction in practice: an empirically driven framework

T Kopp, M Baumgartner, S Kinkel - The International Journal of Advanced …, 2021 - Springer
Human-robot interaction (HRI) promises to be a means whereby manufacturing companies
will be able to address current challenges like a higher demand for customization. However …

A review of trust in artificial intelligence: Challenges, vulnerabilities and future directions

S Lockey, N Gillespie, D Holm, IA Someh - 2021 - aisel.aisnet.org
Artificial Intelligence (AI) can benefit society, but it is also fraught with risks. Societal adoption
of AI is recognized to depend on stakeholder trust in AI, yet the literature on trust in AI is …

Hybrid collective intelligence in a human–AI society

MMM Peeters, J van Diggelen, K Van Den Bosch… - AI & society, 2021 - Springer
Within current debates about the future impact of Artificial Intelligence (AI) on human society,
roughly three different perspectives can be recognised:(1) the technology-centric …

Explanations and trust: What happens to trust when a robot partner does something unexpected?

JB Lyons, I aldin Hamdan, TQ Vo - Computers in Human Behavior, 2023 - Elsevier
Abstract Performance within Human-Autonomy Teams (HATs) is influenced by the
effectiveness of communication between humans and robots. Communication is particularly …

A new health care system enabled by machine intelligence: Elderly people's trust or losing self control

MA Shareef, V Kumar, YK Dwivedi, U Kumar… - … Forecasting and Social …, 2021 - Elsevier
An autonomous homecare system can ensure independence for elderly people and
increase cooperation, social interaction, and adaptation. Widespread diffusion and inclusion …