Integrating transparency, trust, and acceptance: The intelligent systems technology acceptance model (ISTAM)

ES Vorm, DJY Combs - International Journal of Human–Computer …, 2022 - Taylor & Francis
Intelligent systems such as technologies related to artificial intelligence, robotics, machine
learning, etc. open new insights into data and expand the concept of work in myriad …

An engineer's guide to eXplainable Artificial Intelligence and Interpretable Machine Learning: Navigating causality, forced goodness, and the false perception of …

MZ Naser - Automation in Construction, 2021 - Elsevier
While artificial intelligence (AI), and by extension machine learning (ML), continues to be
adopted in parallel engineering disciplines, the integration of AI/ML into the structural …

Ethics in human–AI teaming: principles and perspectives

M Pflanzer, Z Traylor, JB Lyons, V Dubljević, CS Nam - AI and Ethics, 2023 - Springer
Ethical considerations are the fabric of society, and they foster cooperation, help, and
sacrifice for the greater good. Advances in AI create a greater need to examine ethical …

Post-stroke fatigue: a review of development, prevalence, predisposing factors, measurements, and treatments

W Chen, T Jiang, H Huang, J Zeng - Frontiers in Neurology, 2023 - frontiersin.org
Background Post-stroke fatigue (PSF) is a ubiquitous and overwhelming symptom for most
stroke survivors. However, there are no effective management strategies for PSF, which is …

Trust engineering for human-AI teams

N Ezer, S Bruni, Y Cai, SJ Hepenstal… - Proceedings of the …, 2019 - journals.sagepub.com
Human-AI teaming refers to systems in which humans and artificial intelligence (AI) agents
collaborate to provide significant mission performance improvements over that which …

Initial validation of the trust of automated systems test (TOAST)

HM Wojton, D Porter, S T. Lane, C Bieber… - The Journal of social …, 2020 - Taylor & Francis
Trust is a key determinant of whether people rely on automated systems in the military and
the public. However, there is currently no standard for measuring trust in automated systems …

Trust and human-machine teaming: A qualitative study

JB Lyons, KT Wynne, S Mahoney… - Artificial intelligence for the …, 2019 - Elsevier
The current chapter discusses the concepts of human-machine trust and human-machine
teaming while presenting data from a qualitative study regarding the antecedents of trust …

Shaping trust through transparent design: theoretical and experimental guidelines

JB Lyons, GG Sadler, K Koltai, H Battiste, NT Ho… - Advances in Human …, 2017 - Springer
The current research discusses transparency as a means to enable trust of automated
systems. Commercial pilots (N= 13) interacted with an automated aid for emergency …

How we trust, perceive, and learn from virtual humans: The influence of voice quality

EK Chiou, NL Schroeder, SD Craig - Computers & Education, 2020 - Elsevier
Research has shown that creating environments in which social cues are present (social
agency) benefits learning. One way to create these environments is to incorporate a virtual …

Understanding is key: An analysis of factors pertaining to trust in a real-world automation system

N Balfe, S Sharples, JR Wilson - Human factors, 2018 - journals.sagepub.com
Objective: This paper aims to explore the role of factors pertaining to trust in real-world
automation systems through the application of observational methods in a case study from …