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Patrícia Alves-Oliveira

Researcher at University of Washington

Publications -  59
Citations -  982

Patrícia Alves-Oliveira is an academic researcher from University of Washington. The author has contributed to research in topics: Social robot & Creativity. The author has an hindex of 16, co-authored 59 publications receiving 629 citations. Previous affiliations of Patrícia Alves-Oliveira include Instituto Superior Técnico & INESC-ID.

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Journal ArticleDOI

The case of classroom robots: teachers’ deliberations on the ethical tensions

TL;DR: The results from several focus groups conducted with teachers in three European countries are presented and a theoretical account of teachers’ perspectives on classroom robots pertaining to privacy, robot role, effects on children and responsibility are provided.
Proceedings ArticleDOI

YOLO, a Robot for Creativity: A Co-Design Study with Children

TL;DR: How established educational strategies that enhance creativity were combined with co-designing with children as informants to reach the the prototype design of the robot YOLO is described.
Journal ArticleDOI

Empathic Robot for Group Learning: A Field Study

TL;DR: The results show that the autonomous robot with empathy fosters meaningful discussions about sustainability, which is a learning outcome in sustainability education.
Proceedings ArticleDOI

Just follow the suit! Trust in human-robot interactions during card game playing

TL;DR: This paper presents the development and evaluation of a social robot that was created to play a card game with humans, playing the role of a partner and opponent and shows that trust is a multifaceted construct that develops differently for humans and robots.
Proceedings ArticleDOI

Effects of distinct robot navigation strategies on human behavior in a crowded environment

TL;DR: Evidence that human acceleration is lower when navigating around an autonomous robot compared to a teleoperated one and the lack of evidence to support the conventional expectation that teleoperation would be humans' preferred strategy are found.