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Sofia Petisca

Researcher at INESC-ID

Publications -  23
Citations -  368

Sofia Petisca is an academic researcher from INESC-ID. The author has contributed to research in topics: Social robot & Robot. The author has an hindex of 8, co-authored 22 publications receiving 267 citations. Previous affiliations of Sofia Petisca include Instituto Superior Técnico & University of Lisbon.

Papers
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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

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

Friends or Foes?: Socioemotional Support and Gaze Behaviors in Mixed Groups of Humans and Robots

TL;DR: Evidence is provided of different interaction patterns towards robots displaying distinct orientation goals, which can be useful in guiding the successful design of social robots.
Book ChapterDOI

Social Robots for Older Adults: Framework of Activities for Aging in Place with Robots

TL;DR: This paper aims to present the activities in which independent-living older adults, i.e., older adults that do not depend upon anyone to carry out their activities, require a robot, and set specific goals for the future research in the field of Human-Robot Interaction (HRI).
Proceedings ArticleDOI

Discovering Social Interaction Strategies for Robots from Restricted-Perception Wizard-of-Oz Studies

TL;DR: A fully-autonomous robotic tutor is developed based on the proposed approach in the context of a collaborative learning scenario and the results of the evaluation study show that, by performing restricted-perception WoZ studies, the robots are able to engage in very natural and socially-aware interactions.