AIMC Topic: Trust
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Unlocking human-robot synergy: The power of intent communication in warehouse robotics.
Applied ergonomics
Feb 13, 2024
As autonomous mobile robots (AMR) are introduced into workspace environments shared with people, effective human-robot communication is critical to the prevention of injury while maintaining a high level of productivity. This research presents an emp...
Who is responsible? US Public perceptions of AI governance through the lenses of trust and ethics.
Public understanding of science (Bristol, England)
Feb 7, 2024
The governance of artificial intelligence (AI) is an urgent challenge that requires actions from three interdependent stakeholders: individual citizens, technology corporations, and governments. We conducted an online survey ( = 525) of US adults to ...
Data-driven approach to quantify trust in medical devices using Bayesian networks.
Experimental biology and medicine (Maywood, N.J.)
Jan 27, 2024
Bayesian networks are increasingly used to quantify the uncertainty of subjective and stochastic concepts such as trust. In this article, we propose a data-driven approach to estimate Bayesian parameters in the domain of wearable medical devices. Our...
Robots for surgeons? Surgeons for robots? Exploring the acceptance of robotic surgery in the light of attitudes and trust in robots.
BMC psychology
Jan 24, 2024
BACKGROUND: Over the last century, technological progress has been tremendous, and technological advancement is reflected in the development of medicine. This research assessed attitudes towards surgical robots and identified correlations with willin...
Trust in Machine Learning Driven Clinical Decision Support Tools Among Otolaryngologists.
The Laryngoscope
Jan 17, 2024
BACKGROUND: Machine learning driven clinical decision support tools (ML-CDST) are on the verge of being integrated into clinical settings, including in Otolaryngology-Head & Neck Surgery. In this study, we investigated whether such CDST may influence...
Trust in and Acceptance of Artificial Intelligence Applications in Medicine: Mixed Methods Study.
JMIR human factors
Jan 17, 2024
BACKGROUND: Artificial intelligence (AI)-powered technologies are being increasingly used in almost all fields, including medicine. However, to successfully implement medical AI applications, ensuring trust and acceptance toward such technologies is ...
A Literature Review on Safety Perception and Trust during Human-Robot Interaction with Autonomous Mobile Robots That Apply to Industrial Environments.
IISE transactions on occupational ergonomics and human factors
Jan 8, 2024
Occupational ApplicationsAutonomous mobile robots are used in manufacturing and warehousing industries, to transport material across the facility and deliver parts to work cells. Human workers might encounter or interact with these robots in aisle wa...
Clearing the way for participatory data stewardship in artificial intelligence development: a mixed methods approach.
Ergonomics
Jan 2, 2024
Participatory data stewardship (PDS) empowers individuals to shape and govern their data via responsible collection and use. As artificial intelligence (AI) requires massive amounts of data, research must assess what factors predict consumers' willin...
Younger, not older, children trust an inaccurate human informant more than an inaccurate robot informant.
Child development
Dec 1, 2023
This study examined preschoolers' trust toward accurate and inaccurate robot informants versus human informants. Singaporean children aged 3-5 years (N = 120, 57 girls, mostly Asian; data collected from 2017 to 2018) viewed either a robot or a human ...
Modeling the influence of attitudes, trust, and beliefs on endoscopists' acceptance of artificial intelligence applications in medical practice.
Frontiers in public health
Nov 28, 2023
INTRODUCTION: The potential for deployment of Artificial Intelligence (AI) technologies in various fields of medicine is vast, yet acceptance of AI amongst clinicians has been patchy. This research therefore examines the role of antecedents, namely t...
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