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  1.  76
    The case of classroom robots: teachers’ deliberations on the ethical tensions.Sofia Serholt, Wolmet Barendregt, Asimina Vasalou, Patrícia Alves-Oliveira, Aidan Jones, Sofia Petisca & Ana Paiva - 2017 - AI and Society 32 (4):613-631.
    Robots are increasingly being studied for use in education. It is expected that robots will have the potential to facilitate children’s learning and function autonomously within real classrooms in the near future. Previous research has raised the importance of designing acceptable robots for different practices. In parallel, scholars have raised ethical concerns surrounding children interacting with robots. Drawing on a Responsible Research and Innovation perspective, our goal is to move away from research concerned with designing features that will render robots (...)
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  2.  10
    When a Robot Is Your Teammate.Filipa Correia, Francisco S. Melo & Ana Paiva - 2024 - Topics in Cognitive Science 16 (3):527-553.
    Creating effective teamwork between humans and robots involves not only addressing their performance as a team but also sustaining the quality and sense of unity among teammates, also known as cohesion. This paper explores the research problem of: how can we endow robotic teammates with social capabilities to improve the cohesive alliance with humans? By defining the concept of a human–robot cohesive alliance in the light of the multidimensional construct of cohesion from the social sciences, we propose to address this (...)
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  3.  87
    Computational Modelling of Culture and Affect.Ruth Aylett & Ana Paiva - 2012 - Emotion Review 4 (3):253-263.
    This article discusses work on implementing emotional and cultural models into synthetic graphical characters. An architecture, FAtiMA, implemented first in the antibullying application FearNot! and then extended as FAtiMA-PSI in the cultural-sensitivity application ORIENT, is discussed. We discuss the modelling relationships between culture, social interaction, and cognitive appraisal. Integrating a lower level homeostatically based model is also considered as a means of handling some of the limitations of a purely symbolic approach. Evaluation to date is summarised and future directions discussed.
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  4.  13
    “Guess what I'm doing”: Extending legibility to sequential decision tasks.Miguel Faria, Francisco S. Melo & Ana Paiva - 2024 - Artificial Intelligence 330 (C):104107.
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  5.  26
    Special section editorial.Selma Šabanović, Malte Jung, Ana Paiva & Friederike Eyssel - 2021 - Interaction Studies 22 (1):81-85.
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  6.  26
    Reply to Comments by Bainbridge, Gratch, and Nishida.Ruth Aylett & Ana Paiva - 2012 - Emotion Review 4 (3):271-272.
    We respond to two themes in the comments by Bainbridge, Gratch, and Nishida: first, the importance of embodiment, and second the issue of what should be explicitly modelled as against what should be dynamically generated. Finally, we briefly respond to the ethical questions raised by Bainbridge.
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  7.  11
    Definition, conceptualisation and measurement of trust.Martin Porcheron, Minha Lee, Birthe Nesset, Frode Guribye, Margot van der Goot, Roger K. Moore, Ricardo Usbeck, Ana Paiva, Catherine Pelachaud, Elayne Ruane, Björn Schuller, Guy Laban, Dimosthenis Kontogiorgos, Matthias Kraus & Asbjørn Følstad - 2022 - Dagstuhl Reports 11 (8):101-105.
    This report documents the program and the outcomes of Dagstuhl Seminar 21381 "Conversational Agent as Trustworthy Autonomous System ". First, we present the abstracts of the talks delivered by the Seminar’s attendees. Then we report on the origin and process of our six breakout groups. For each group, we describe its contributors, goals and key questions, key insights, and future research. The themes of the groups were derived from a pre-Seminar survey, which also led to a list of suggested readings (...)
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  8.  12
    Teaming up humans with autonomous synthetic characters.Rui Prada & Ana Paiva - 2009 - Artificial Intelligence 173 (1):80-103.
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