arXiv Machine Learning By Laura Londo\~no, Klaus Baumann, Abhinav Valada, Markus Langer

Human-Centered Reflections on Care Robots: A Comparative Study of Caregiver Perspectives

Read the original on arXiv Machine Learning →

arXiv:2608. 02411v1 Announce Type: cross Abstract: Care robots are increasingly being introduced into healthcare settings, raising important questions about their acceptance and ethical implementation.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

Hugging Face Trending Papers
Aug 3

Human-Centered Reflections on Care Robots: A Comparative Study of Caregiver Perspectives

Care robots are increasingly being introduced into healthcare settings, raising important questions about their acceptance and ethical implementation. To better understand these challenges, this study investigates caregivers' perceptions of four categories of care robots: delivering supplies, helping patients into bed, monitoring vital signs, and assisting with mobility.

arXiv AI
Jul 8

Responsible Personalisation: The Double-Edged Sword of Personalisation in Human-Robot Interaction

arXiv:2607. 06344v1 Announce Type: cross Abstract: While personalisation is becoming a defining capability in human-robot interaction (HRI), the existing literature on responsible personalisation remains fragmented, offering isolated accounts of ethical risks without a structured understanding of how they emerge across interaction contexts.

By Antonio Andriella, Jauwairia Nasir, Andrea Rezzani, Alyssa Kubota, Dimitri Lacroix, Tamlin Love, Aniol Civit, Vicky Charisi, Elisabeth Andre, Wing-Yue Geoffrey Louie
Hugging Face Trending Papers
Jul 7

Responsible Personalisation: The Double-Edged Sword of Personalisation in Human-Robot Interaction

While personalisation is becoming a defining capability in human-robot interaction (HRI), the existing literature on responsible personalisation remains fragmented, offering isolated accounts of ethical risks without a structured understanding of how they emerge across interaction contexts. This gap is particularly critical in HRI, where robots' embodiment and social presence can amplify and reshape such risks or generate new types of risks.