Assistive robotic systems endeavour to support those with movement disabilities, enabling
them to move again and regain functionality. Main issue with these systems is the complexity …

We studied clinical AI-supported decision-making as an example of a high-stakes setting in
which explainable AI (XAI) has been proposed as useful (by theoretically providing …

Eye movements have long been studied as a window into the attentional mechanisms of the
human brain and made accessible as novelty style human-machine interfaces. However, not …

Human-robot collaboration systems benefit from recognizing people's intentions. This
capability is especially useful for collaborative manipulation applications, in which users …

We have pioneered the Where-You-Look-Is Where-You-Go approach to controlling mobility
platforms by decoding how the user looks at the environment to understand where they want …

Assistive and Wearable Robotics have the potential to support humans with different types of
motor impairments to become independent and fulfil their activities of daily living …

Annotated videos are commonly produced for documenting assembly and maintenance
processes in the manufacturing industry. However, according to a semi-structured interview …

Controllers such as the joystick, sip “n” puff, and head mount (gyro control) in the electric
wheelchair cannot accustom to people with severe disabilities. Artificial intelligence (AI) …

Bien que pouvant être considérée comme une affection rare, l'absence de tout ou d'une
partie du membre supérieur impacte fortement la qualité de vie des personnes en souffrant …

Explainable AI (XAI) is seen as important for AI-driven clinical decision support tools but
most XAI has been evaluated on non-expert populations for proxy tasks and in low-fidelity …