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 …

Transitioning to human interaction with AI systems: New challenges and opportunities for HCI professionals to enable human-centered AI

W Xu, MJ Dainoff, L Ge, Z Gao - International Journal of Human …, 2023 - Taylor & Francis
While AI has benefited humans, it may also harm humans if not appropriately developed.
The priority of current HCI work should focus on transiting from conventional human …

Toward human-centric smart manufacturing: A human-cyber-physical systems (HCPS) perspective

B Wang, P Zheng, Y Yin, A Shih, L Wang - Journal of Manufacturing …, 2022 - Elsevier
Advances in human-centric smart manufacturing (HSM) reflect a trend towards the
integration of human-in-the-loop with technologies, to address challenges of human …

[HTML][HTML] Organizational resilience: a capability-based conceptualization

S Duchek - Business research, 2020 - Springer
In highly volatile and uncertain times, organizations need to develop a resilience capacity
which enables them to cope effectively with unexpected events, bounce back from crises …

Evolution and future of manufacturing systems

H ElMaraghy, L Monostori, G Schuh, W ElMaraghy - CIRP Annals, 2021 - Elsevier
The evolution of manufacturing systems, influenced by changes along four axes-products,
technology, business strategies and production paradigms-is presented. Adoption of human …

A human-in-the-loop manufacturing control architecture for the next generation of production systems

C Cimini, F Pirola, R Pinto, S Cavalieri - Journal of manufacturing systems, 2020 - Elsevier
In recent years, the introduction of Industry 4.0 technologies in the manufacturing landscape
promoted the development of smart factories characterised by relevant socio-technical …

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 …

[HTML][HTML] 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 …

[HTML][HTML] The “Out-of-the-Loop” concept in automated driving: proposed definition, measures and implications

N Merat, B Seppelt, T Louw, J Engström, JD Lee… - Cognition, Technology & …, 2019 - Springer
Despite an abundant use of the term “Out of the loop”(OOTL) in the context of automated
driving and human factors research, there is currently a lack of consensus on its precise …

SEIPS 2.0: a human factors framework for studying and improving the work of healthcare professionals and patients

RJ Holden, P Carayon, AP Gurses, P Hoonakker… - Ergonomics, 2013 - Taylor & Francis
Healthcare practitioners, patient safety leaders, educators and researchers increasingly
recognise the value of human factors/ergonomics and make use of the discipline's person …