%0 Journal Article %J Frontiers in Robotics and AI %D 2020 %T A Socially Adaptable Framework for Human-Robot Interaction %A Ana Tanevska %A Francesco Rea %A Giulio Sandini %A Lola Cañamero %A Alessandra Sciutti %X In our everyday lives we regularly engage in complex, personalized, and adaptive interactions with our peers. To recreate the same kind of rich, human-like interactions, a social robot should be aware of our needs and affective states and continuously adapt its behavior to them. Our proposed solution is to have the robot learn how to select the behaviors that would maximize the pleasantness of the interaction for its peers. To make the robot autonomous in its decision making, this process could be guided by an internal motivation system. We wish to investigate how an adaptive robotic framework of this kind would function and personalize to different users. We also wish to explore whether the adaptability and personalization would bring any additional richness to the human-robot interaction (HRI), or whether it would instead bring uncertainty and unpredictability that would not be accepted by the robot's human peers. To this end, we designed a socially adaptive framework for the humanoid robot iCub. As a result, the robot perceives and reuses the affective and interactive signals from the person as input for the adaptation based on internal social motivation. We strive to investigate the value of the generated adaptation in our framework in the context of HRI. In particular, we compare how users will experience interaction with an adaptive versus a non-adaptive social robot. To address these questions, we propose a comparative interaction study with iCub whereby users act as the robot's caretaker, and iCub's social adaptation is guided by an internal comfort level that varies with the stimuli that iCub receives from its caretaker. We investigate and compare how iCub's internal dynamics would be perceived by people, both in a condition when iCub does not personalize its behavior to the person, and in a condition where it is instead adaptive. Finally, we establish the potential benefits that an adaptive framework could bring to the context of repeated interactions with a humanoid robot. %B Frontiers in Robotics and AI %V 7 %P 121 %G eng %U https://www.frontiersin.org/article/10.3389/frobt.2020.00121 %R 10.3389/frobt.2020.00121 %0 Conference Paper %B Advances in Artificial Life, ECAL 2013 %D 2013 %T SimianWorld – A Study of Social Organisation Using an Artificial Life Model %A Sue Attwood %A Lola Cañamero %A René te Boekhorst %E Pietro Liò %E Orazio Miglino %E Giuseppe Nicosia %E Stefano Nolfi %E Mario Pavone %X In studies of social behaviour it is commonly assumed that individual complexity is the origin of intricate social interactions. In primates for example, social complexity is attributed to their intelligence and it is argued by many that the cognitive capacity of primates are especially manifest in the way they regulate their social relationships. Whereas the complex societies of non-human primates are considered to be as a direct result of their cognitive abilities this assumption is not made about social insects. In the absence of certain cognitive abilities their complex societies and structurally sophisticated nests are thought to arise from self-organisation. Since it is unlikely that cognitive capacities are all-or-nothing, usually integrating a range of mechanisms, it is possible that different species use similar cognitive mechanisms resulting in different behavioural outcomes. %B Advances in Artificial Life, ECAL 2013 %I MIT Press %C Taormina, Italy %P 633–640 %@ 9780262317092 %G eng %U https://www.mitpressjournals.org/doi/abs/10.1162/978-0-262-31709-2-ch090 %R 10.7551/978-0-262-31709-2-ch090 %0 Conference Paper %B Proc. 9th International Conference on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems (EpiRob 2009) %D 2009 %T Should I worry about my stressed pregnant robot? %A David Bowes %A Lola Cañamero %A Roderick G Adams %A Volker Steuber %A Davey, Neil %E Lola Cañamero %E Pierre-Yves Oudeyer %E Christian Balkenius %B Proc. 9th International Conference on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems (EpiRob 2009) %S Lund University Cognitive Studies %I Lund University %C Venice, Italy %V 146 %P 203–204 %8 11/2009 %@ 978-91-977-380-7-1 %G eng %U http://www.lucs.lu.se/LUCS/146/epirob09.pdf %0 Conference Paper %B The Logic Of Artificial Life: Abstracting and Synthesizing the Principles of Living Systems; Proc. 6th German Workshop on Artificial Life 2004 %D 2004 %T Strategies in the Evolution of Affect Related Displays and Recognition %A Robert Lowe %A Lola Cañamero %A Nehaniv, Chrystopher L %A Daniel Polani %E Harald Schaub %E Frank Detje %E Ulrike Brüggermann %X A more realistic alternative to the game theoretic approach to measuring the behavioural success of animal display can be represented by affect related expression and perception The current paper investigates the ways in which agents can use evolved affect related displays to manipulate the behaviour of affect perceiving rival agents to their survival advantage. %B The Logic Of Artificial Life: Abstracting and Synthesizing the Principles of Living Systems; Proc. 6th German Workshop on Artificial Life 2004 %I IOS Press %C Bamberg, Germany %G eng %0 Book %D 2002 %T Socially Intelligent Agents: Creating Relationships with Computers and Robots %E Kerstin Dautenhahn %E Alan H Bond %E Lola Cañamero %E Bruce Edmonds %I Kluwer Academic Publishers %@ 978-0-306-47373-9 %G eng %0 Book Section %B Socially Intelligent Agents: Creating Relationships with Computers and Robots %D 2002 %T Socially Intelligent Agents: Creating Relationships with Computers and Robots %A Kerstin Dautenhahn %A Alan H Bond %A Lola Cañamero %A Bruce Edmonds %E Kerstin Dautenhahn %E Alan H Bond %E Lola Cañamero %E Bruce Edmonds %X This introduction explains the motivation to edit this book and provides an overview of the chapters included in this book. Main themes and common threads that can be found across different chapters are identified that might help the reader in navigating the book. %B Socially Intelligent Agents: Creating Relationships with Computers and Robots %I Kluwer Academic Publishers %P 1–20 %@ 978-0-306-47373-9 %G eng %& 1 %0 Book Section %B Learning Sites: Social and Technological Contexts for Learning %D 1999 %T Situated Cognition: A Challenge to Artificial Intelligence? %A D Cañamero %A Vincent Corruble %E Joan Bliss %E Roger Säljö %E Paul Light %B Learning Sites: Social and Technological Contexts for Learning %I Elsevier %P 223–235 %@ 978-0080433509 %G eng %& 17 %0 Book Section %B Learning Sites: Social and Technological Contexts for Learning %D 1999 %T Situated Learning in Autonomous Agents %A Bart de Boer %A D Cañamero %E Joan Bliss %E Roger Säljö %E Paul Light %B Learning Sites: Social and Technological Contexts for Learning %I Elsevier %P 236–248 %@ 978-0080433509 %G eng %& 18 %0 Conference Paper %B Socially Intelligent Agents. Papers from the 1997 AAAI Fall Symposium %D 1997 %T Socially Emotional: Using Emotions to Ground Social Interaction %A D Cañamero %A Walter Van de Velde %E Kerstin Dautenhahn %B Socially Intelligent Agents. Papers from the 1997 AAAI Fall Symposium %I The AAAI Press %P 10–15 %G eng