1 citations · 1 across the 7 of their papers we have counts for
7 papers
A revised framework for the assessment of psychological safety in autonomous vehicles
Yandika Sirgabsou, Benjamin Hardin, François Leblanc +5
Despite recent technological progress in the development of autonomous vehicles (AVs), their societal acceptability remains a subject of debate as recent research findings point to…
Engineering Psychological Safety in Autonomous Vehicles: A Systems-Theoretic Framework for Psychological Safety in Autonomous Vehicles and its Validation in Real-World Scenarios
Yandika Sirgabsou, Benjamin Hardin, François Leblanc +5
Despite rapid technological advances, the societal acceptability of autonomous vehicles (AVs) remains limited by psychological barriers that extend beyond traditional concerns of p…
Sociotechnical Challenges of Machine Learning in Healthcare and Social Welfare
Tyler Reinmund, Lars Kunze, Marina Jirotka
Sociotechnical challenges of machine learning in healthcare and social welfare are mismatches between how a machine learning tool functions and the structure of care practices. Whi…
A Simulated real-world upper-body Exoskeleton Accident and Investigation
Alan Winfield, Nicola Webb, Appolinaire Etoundi +3
This paper describes the enactment of a simulated (mock) accident involving an upper-body exoskeleton and its investigation. The accident scenario is enacted by role-playing volunt…
A risk model and analysis method for the psychological safety of human and autonomous vehicles interaction
Yandika Sirgabsou, Benjamin Hardin, François Leblanc +5
The rapid advancement of artificial intelligence and autonomous driving technologies has significantly propelled the development of autonomous vehicles (AVs). However, psychologica…
A Transparency Paradox? Investigating the Impact of Explanation Specificity and Autonomous Vehicle Perceptual Inaccuracies on Passengers
Daniel Omeiza, Raunak Bhattacharyya, Marina Jirotka +2
Transparency in automated systems could be afforded through the provision of intelligible explanations. While transparency is desirable, might it lead to catastrophic outcomes (suc…
S-RAF: A Simulation-Based Robustness Assessment Framework for Responsible Autonomous Driving
Daniel Omeiza, Pratik Somaiya, Jo-Ann Pattinson +4
As artificial intelligence (AI) technology advances, ensuring the robustness and safety of AI-driven systems has become paramount. However, varying perceptions of robustness among…