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Belén Liedo

dblp:385/2987 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
0000-0002-8109-8454ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction
assistive robotics
1.012026
Disability Justice in Human-Robot Interaction: Reflections on Paternalism, Autonomy, and Care for More Equitable Futures · HRI 2026
Human-robot interaction
robot ethics
0.312026
Disability Justice in Human-Robot Interaction: Reflections on Paternalism, Autonomy, and Care for More Equitable Futures · HRI 2026

Methods — techniques the papers use, named apart from their topics

critical HCI · 1.0crip technoscience · 1.0
YearPublicationVenuePosition
2026 Disability Justice in Human-Robot Interaction: Reflections on Paternalism, Autonomy, and Care for More Equitable Futures
abstract
When we design assistive robots, we are largely well-intentioned: we want to use our research and engineering skills to help others. However, to meet this end, as we move towards more disability- and social justice-oriented HRI research, it is important to critically examine the dominant social narratives of disability that shape how assistive robots for disabled people are conceptualized, designed, and deployed. In this paper, we introduce the concept of robot-mediated paternalism (RMP), drawing on a multidisciplinary body of literature, including critical HCI and crip technoscience. Then, we discuss how RMP may manifest when assistive robots provide unwanted assistance to disabled people and interfere with their decisions/actions based on assumptions about their autonomy and care needs. Finally, we reflect on and offer actionable suggestions for how HRI researchers might mitigate RMP by aligning their work with the principles of disability justice. Overall, our work advances disability-centered research on assistive robots and, in doing so, supports more equitable, inclusive futures for disabled communities.
Pratyusha Ghosh, Belén Liedo, Laurel D. Riek
HRI2