User trust in artificial intelligence: A comprehensive conceptual framework

R Yang, S Wibowo - Electronic Markets, 2022 - Springer
This paper provides a systematic literature review of current studies between January 2015
and January 2022 on user trust in artificial intelligence (AI) that has been conducted from …

Artificial intelligence and real-time predictive maintenance in industry 4.0: a bibliometric analysis

AT Keleko, B Kamsu-Foguem, RH Ngouna, A Tongne - AI and Ethics, 2022 - Springer
The purpose of this article is to study the issues of industrial maintenance, one of the critical
drivers of Industry 4.0 (I4. 0), which has contributed to the advent of new industrial …

[HTML][HTML] Artificial intelligence decision-making transparency and employees' trust: The parallel multiple mediating effect of effectiveness and discomfort

L Yu, Y Li - Behavioral Sciences, 2022 - mdpi.com
The purpose of this paper is to investigate how Artificial Intelligence (AI) decision-making
transparency affects humans' trust in AI. Previous studies have shown inconsistent …

Defining human-AI teaming the human-centered way: a sco** review and network analysis

S Berretta, A Tausch, G Ontrup, B Gilles… - Frontiers in Artificial …, 2023 - frontiersin.org
Introduction With the advancement of technology and the increasing utilization of AI, the
nature of human work is evolving, requiring individuals to collaborate not only with other …

Trust in AI: progress, challenges, and future directions

S Afroogh, A Akbari, E Malone, M Kargar… - Humanities and Social …, 2024 - nature.com
The increasing use of artificial intelligence (AI) systems in our daily lives through various
applications, services, and products highlights the significance of trust and distrust in AI from …

Trust in artificial intelligence: Literature review and main path analysis

BM Henrique, E Santos Jr - Computers in Human Behavior: Artificial …, 2024 - Elsevier
Artificial Intelligence (AI) is present in various modern systems, but it is still subject to
acceptance in many fields. Medical diagnosis, autonomous driving cars, recommender …

[HTML][HTML] Assessing the interplay of trust dynamics, personalization, ethical AI practices, and tourist behavior in the adoption of AI-driven smart tourism technologies

I Koo, U Zaman, H Ha, S Nawaz - Journal of Open Innovation: Technology …, 2025 - Elsevier
Purpose This research aims to explore the intricate dynamics influencing the adoption of AI-
driven smart tourism technologies within the specific context of the United Arab Emirates. It …

Human trust in otherware–a systematic literature review bringing all antecedents together

T Saßmannshausen, P Burggräf, M Hassenzahl… - Ergonomics, 2023 - Taylor & Francis
Technological systems are becoming increasingly smarter, which causes a shift in the way
they are seen: from tools used to execute specific tasks to social counterparts with whom to …

Exploring NWS forecasters' assessment of AI guidance trustworthiness

MG Cains, CD Wirz, JL Demuth… - Weather and …, 2024 - journals.ametsoc.org
As artificial intelligence (AI) methods are increasingly used to develop new guidance
intended for operational use by forecasters, it is critical to evaluate whether forecasters …

Human-centred AI in industry 5.0: a systematic review

M Passalacqua, R Pellerin, F Magnani… - … Journal of Production …, 2024 - Taylor & Francis
Industry 4.0 (I4. 0) is a manufacturing paradigm revolutionising production by integrating
advanced technologies, like AI, for automation and data integration. However, research in I4 …