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Ana Paiva
Researcher at Instituto Superior Técnico
Publications - 501
Citations - 11347
Ana Paiva is an academic researcher from Instituto Superior Técnico. The author has contributed to research in topics: Social robot & Human–robot interaction. The author has an hindex of 47, co-authored 472 publications receiving 9626 citations. Previous affiliations of Ana Paiva include University of Lisbon & Harvard University.
Papers
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Journal ArticleDOI
Affect recognition for interactive companions: challenges and design in real world scenarios
TL;DR: The experimental results aim to provide the foundation for the design of an affect recognition system for a game companion: in this interaction scenario children tend to look at the iCat and smile more when they experience a positive feeling and they are engaged with the i cat.
Proceedings ArticleDOI
Procedural Content Generation: Goals, Challenges and Actionable Steps
Julian Togelius,Alex J. Champandard,Pier Luca Lanzi,Michael Mateas,Ana Paiva,Mike Preuss,Kenneth O. Stanley +6 more
TL;DR: Nine challenges for PCG research are identified, namely multi-level multicontent PCG, PCG-based game design and generating complete games, which are likely to take us closer to realising the three grand goals.
Book ChapterDOI
Towards Empathic Virtual and Robotic Tutors
Ginevra Castellano,Ana Paiva,Arvid Kappas,Ruth Aylett,Helen Hastie,Wolmet Barendregt,Fernando Nabais,Susan Bull +7 more
TL;DR: The EMOTE project approach to harnessing benefits of an artificial embodied tutor in a shared physical space and presents non-verbal and adaptive dialogue challenges for such embodied tutors as a foundation for researchers investigating the potential for empathic tutors that will be accepted by students and teachers.
Book
Affective Interactions: Towards a New Generation of Computer Interfaces
TL;DR: A new field is emerging in computer science: affective computing as mentioned in this paper, i.e. computing that relates to, arises from, or deliberately influences emotions (e.g. emotions).
Book ChapterDOI
Modelling empathy in social robotic companions
TL;DR: A multimodal framework for modeling some of the user's affective states that combines visual and task-related features is presented and personalise the learning environment by adapting the robot's empathic responses to the particular preferences of the child who is interacting with the robot.