%0 Conference Paper %B Proc. 2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob) %D 2019 %T A Cognitive Architecture for Socially Adaptable Robots %A Ana Tanevska %A Francesco Rea %A Giulio Sandini %A Lola Cañamero %A Alessandra Sciutti %B Proc. 2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob) %I IEEE %C Oslo, Norway %P 195–200 %8 08/2019 %G eng %U https://ieeexplore.ieee.org/document/8850688 %R 10.1109/DEVLRN.2019.8850688 %0 Conference Paper %B Proc. 5th Annual International Conference on Biologically-Inspired Cognitive Architectures (BICA 2014) %D 2014 %T Cognitive Architectures to Bridge Interdisciplinary Gaps in Emotion Research? %A Lola Cañamero %X Emotions are a fundamental aspect of cognition and interaction, and their importance has been broadly acknowledged by both the "sciences of the natural" (e.g., neuroscience, psychology, biology) and those of "the artificial" (e.g., artificial intelligence, cognitive science / robotics, artificial life). Emotions provide an ideal framework for inter- and cross-disciplinary research since, due to their complex multi-faceted nature, they cannot be properly understood from the perspective of a single discipline. In this abstract/presentation, I would argue that the use of robots as both ... %B Proc. 5th Annual International Conference on Biologically-Inspired Cognitive Architectures (BICA 2014) %C Cambridge, MA %G eng %0 Conference Paper %B 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication %D 2012 %T Children's Adaptation in Multi-session Interaction with a Humanoid Robot %A Nalin, Marco %A Baroni, Ilaria %A Kruijff-Korbayová, Ivana %A Lola Cañamero %A Lewis, Matthew %A Aryel Beck %A Cuayáhuitl, Heriberto %A Alberto Sanna %X This work presents preliminary observations from a study of children (N=19, age 5–12) interacting in multiple sessions with a humanoid robot in a scenario involving game activities. The main purpose of the study was to see how their perception of the robot, their engagement, and their enjoyment of the robot as a companion evolve across multiple interactions, separated by one-two weeks. However, an interesting phenomenon was observed during the experiment: most of the children soon adapted to the behaviors of the robot, in terms of speech timing, speed and tone, verbal input formulation, nodding, gestures, etc. We describe the experimental setup and the system, and our observations and preliminary analysis results, which open interesting questions for further research. %B 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication %I IEEE %P 351–357 %G eng %U http://ieeexplore.ieee.org/document/6343778/ %R 10.1109/ROMAN.2012.6343778 %0 Conference Paper %B Proc. 3rd International Conference on Social Robotics (ICSR 2011) %D 2011 %T Children Interpretation of Emotional Body Language Displayed by a Robot %A Aryel Beck %A Lola Cañamero %A Luisa Damiano %A Sommavilla, Giacomo %A Tesser, Fabio %A Cosi, Piero %X Previous results show that adults are able to interpret different key poses displayed by the robot and also that changing the head position affects the expressiveness of the key poses in a consistent way. Moving the head down leads to decreased arousal (the level of energy), valence (positive or negative) and stance (approaching or avoiding) whereas moving the head up produces an increase along these dimensions [1]. Hence, changing the head position during an interaction should send intuitive signals which could be used during an interaction. The ALIZ-E target group are children between the age of 8 and 11. Existing results suggest that they would be able to interpret human emotional body language [2, 3]. Based on these results, an experiment was conducted to test whether the results of [1] can be applied to children. If yes body postures and head position could be used to convey emotions during an interaction. %B Proc. 3rd International Conference on Social Robotics (ICSR 2011) %I Springer %C Amsterdam, The Netherlands %P 62–70 %@ 978-3-642-25504-5 %G eng %U https://link.springer.com/chapter/10.1007%2F978-3-642-25504-5_7 %R 10.1007/978-3-642-25504-5_7 %0 Conference Paper %B International Symposium on AI-Inspired Biology %D 2010 %T Constructing Emotions: Epistemological Groundings and Applications in Robotics for a Synthetic Approach to Emotions %A Luisa Damiano %A Lola Cañamero %E Jackie Chappell %E Susannah Thorpe %E Nick Hawes %E Aaron Sloman %X Can the sciences of the artificial positively contribute to the scientific exploration of life and cognition? Can they actually improve the scientific knowledge of natural living and cognitive processes, from biological metabolism to reproduction, from conceptual mapping of the environment to logic reasoning, language, or even emotional expression? To these kinds of questions our article aims to answer in the affirmative. Its main object is the scientific emergent methodology often called the “synthetic approach”, which promotes the programmatic production of embodied and situated models of living and cognitive systems in order to explore aspects of life and cognition not accessible in natural systems and scenarios. The first part of this article presents and discusses the synthetic approach, and proposes an epistemological framework which promises to warrant genuine transmission of knowledge from the sciences of the artificial to the sciences of the natural. The second part of this article looks at the research applying the synthetic approach to the psychological study of emotional development. It shows how robotics, through the synthetic methodology, can develop a particular perspective on emotions, coherent with current psychological theories of emotional development and fitting well with the recent “cognitive extension” approach proposed by cognitive sciences and philosophy of mind. %B International Symposium on AI-Inspired Biology %I The Society for the Study of Artificial Intelligence and the Simulation of Behaviour %C De Montford University, Leicester, UK %P 20–28 %@ 1902956923 %G eng %U http://www.cs.bham.ac.uk/research/projects/cogaff/aiib/Symposium_6/Papers/Damiano.pdf %0 Conference Paper %B Proc. 8th International Conference on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems (EpiRob 2008) %D 2008 %T Conscientious Caretaking for Autonomous Robots: An Arousal-Based Model of Exploratory Behavior %A Antoine Hiolle %A Lola Cañamero %E Matthew Schlesinger %E Luc Berthouze %E Christian Balkenius %X The question of how autonomous robots could be part of our everyday life is gaining increasing interest. We present here an experiment in which an autonomous robot explores its environment and tries to familiarize itself with its novel elements using a neural-network-based architecture. When confronted with novelty, the lack of stability of its learning structures increases the arousal level of the robot, pushing it to look for comfort from its caretaker in order to reduce this arousal. In this paper, we studied how the behavior of the caretaker—and in particular the amount of comfort it provides to the robot during its exploration of the environment—influences the course of the robot’s exploration and learning experience. This work takes inspiration from early mother-infant interactions and the impact that the primary caretaker has on the development of children—at least in mainstream Western culture. The underlying hypothesis is that the behavior of a caregiver, and particularly his/her role in modulating arousal, will influence the development of an autonomous robot, and that arousal regulation will also depend on how accurately the robot signals its internal state and how the caretaker (or human user) responds to these signals. %B Proc. 8th International Conference on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems (EpiRob 2008) %S Lund University Cognitive Studies %I Lund University %C Brighton, UK %V 139 %P 45–52 %@ 978-91-977-380-1-9 %G eng %U http://www.lucs.lu.se/LUCS/139/hiolle.pdf %0 Conference Paper %B Advances in Artificial Intelligence – IBERAMIA 2002; Proc. 8th Ibero-American Conference on AI %D 2002 %T Comparing a Voting-Based Policy with Winner-Takes-All to Perform Action Selection in Motivational Agents %A Avila-García, Orlando %A Lola Cañamero %E Garijo, Francisco J %E Riquelme, José C %E Toro, Miguel %X Embodied autonomous agents are systems that inhabit dynamic, unpredictable environments in which they try to satisfy a set of time-dependent goals or motivations in order to survive. One of the problems that this implies is action selection, the task of resolving conflicts between competing behavioral alternatives. We present an experimental comparison of two action selection mechanisms (ASM), implementing "winner-takes-all" (WTA) and "voting-based" (VB) policies respectively, modeled using a motivational behavior-based approach. This research shows the adequacy of these two ASM with respect to different sources of environmental complexity and the tendency of each of them to show different behavioral phenomena. %B Advances in Artificial Intelligence – IBERAMIA 2002; Proc. 8th Ibero-American Conference on AI %S Lecture Notes in Computer Science %I Springer %C Seville, Spain %V 2527 %P 855–864 %@ 978-3-540-00131-7 %G eng %R 10.1007/3-540-36131-6_87 %0 Conference Paper %B Proc. EPSRC/BBSRC International Workshop Biologically-Inspired Robotics: The Legacy of W. Grey Walter %D 2002 %T A Comparison of Behavior Selection Architectures Using Viability Indicators %A Avila-García, Orlando %A Lola Cañamero %B Proc. EPSRC/BBSRC International Workshop Biologically-Inspired Robotics: The Legacy of W. Grey Walter %C HP Labs Bristol, UK %P 86–93 %G eng