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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
An autonomous homecare system can ensure independence for elderly people and increase cooperation, social interaction, and adaptation. Widespread diffusion and inclusion …