@inproceedings {2024, title = {A Human-Robot Mutual Learning System with Affect-Grounded Language Acquisition and Differential Outcomes Training}, booktitle = {Social Robotics. 15th International Conference, ICSR 2023, Proceedings Part II}, volume = {LNAI 14454}, year = {2024}, pages = {108{\textendash}122}, publisher = {Springer}, organization = {Springer}, address = {Doha, Qatar, December 3{\textendash}7, 2023}, isbn = {978-981-99-8717-7}, issn = {0302-9743}, doi = {10.1007/978-981-99-8718-4}, url = {https://doi.org/10.1007/978-981-99-8718-4}, author = {Markelius, A. and Sj{\"o}berg, S. and Lemhaouri, Z. and Cohen, L. and Lowe, R. and Ca{\~n}amero, L.}, editor = {Abdulaziz Al Ali and Nader Meskin and Wanyue Jiang and Shuzhi Sam Ge and John-John Cabibihan and Silvia Rossi and Hongsheng He} } @inproceedings {9998, title = {Expression of Grounded Affect: How Much Emotion Can Arousal Convey?}, booktitle = {Proc. 21st Towards Autonomous Robotic Systems Conference (TAROS2020)}, series = {Lecture Notes in Computer Science}, volume = {12228}, year = {2020}, note = {Download (the complete proceedings are available from the link on this page)}, month = {09/2020}, pages = {234{\textendash}248}, publisher = {Springer}, organization = {Springer}, address = {Nottingham, UK}, abstract = {In this paper we consider how non-humanoid robots can communicate their affective state via bodily forms of communication (kinesics), and the extent to which this influences how humans respond to them. We propose a simple model of grounded affect and kinesic expression before presenting the qualitative findings of an exploratory study (N=9), during which participants were interviewed after watching expressive and non-expressive hexapod robots perform different {\textquoteleft}scenes{\textquoteright}. A summary of these interviews is presented and a number of emerging themes are identified and discussed. Whilst our findings suggest that the expressive robot did not evoke significantly greater empathy or altruistic intent in humans than the control robot, the expressive robot stimulated greater desire for interaction and was also more likely to be attributed with emotion.}, doi = {10.1007/978-3-030-63486-5_26}, url = {https://link.springer.com/chapter/10.1007/978-3-030-63486-5_26}, author = {Hickton, Luke and Lewis, Matthew and Lola Ca{\~n}amero}, editor = {Abdelkhilick Mohammad and Xin Dong and Matteo Russo} } @article {2020, title = {A Socially Adaptable Framework for Human-Robot Interaction}, journal = {Frontiers in Robotics and AI}, volume = {7}, year = {2020}, note = {Download (Open Access)}, pages = {121}, abstract = {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{\textquoteright}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{\textquoteright}s caretaker, and iCub{\textquoteright}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{\textquoteright}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.}, issn = {2296-9144}, doi = {10.3389/frobt.2020.00121}, url = {https://www.frontiersin.org/article/10.3389/frobt.2020.00121}, author = {Ana Tanevska and Francesco Rea and Giulio Sandini and Lola Ca{\~n}amero and Alessandra Sciutti} } @inproceedings {2019, title = {A Cognitive Architecture for Socially Adaptable Robots}, booktitle = {Proc. 2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob)}, year = {2019}, note = {Download}, month = {08/2019}, pages = {195{\textendash}200}, publisher = {IEEE}, organization = {IEEE}, address = {Oslo, Norway}, doi = {10.1109/DEVLRN.2019.8850688}, url = {https://ieeexplore.ieee.org/document/8850688}, author = {Ana Tanevska and Francesco Rea and Giulio Sandini and Lola Ca{\~n}amero and Alessandra Sciutti} } @inproceedings {2019, title = {Eager to Learn vs. Quick to Complain? How a socially adaptive robot architecture performs with different robot personalities}, booktitle = {Proc. 2019 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2019)}, year = {2019}, note = {Download}, month = {10/2019}, pages = {365{\textendash}371}, publisher = {IEEE}, organization = {IEEE}, address = {Bari, Italy}, abstract = {A social robot that is aware of our needs and continuously adapts its behaviour to them has the potential of creating a complex, personalized, human-like interaction of the kind we are used to have with our peers in our everyday lives. We are interested in exploring how would an adaptive architecture function and personalize to different users when given different initial values of its variables, i.e. when implementing the same adaptive framework with different robot personalities. Would an architecture that learns very quickly outperform a slower but steadier learning profile? To further explore this, we propose a cognitive architecture for the humanoid robot iCub supporting adaptability and we attempt to validate its functionality and test different robot profiles.}, doi = {10.1109/SMC.2019.8913903}, url = {https://ieeexplore.ieee.org/document/8913903}, author = {Ana Tanevska and Francesco Rea and Giulio Sandini and Lola Ca{\~n}amero and Alessandra Sciutti} } @inproceedings {2015, title = {Let{\textquoteright}s Be Friends: Perception of a Social Robotic Companion for children with T1DM}, booktitle = {Proc. New Friends 2015}, year = {2015}, note = {Download full proceedings (PDF)}, month = {10/2015}, pages = {32{\textendash}33}, address = {Almere, The Netherlands}, abstract = {We describe the social characteristics of a robot developed to support children with Type 1 Diabetes Mellitus (T1DM) in the process of education and care. We evaluated the perception of the robot at a summer camp where diabetic children aged 10-14 experienced the robot in group interactions. Children in the intervention condition additionally interacted with it also individually, in one-to-one sessions featuring several game-like activities. These children perceived the robot significantly more as a friend than those in the control group. They also readily engaged with it in dialogues about their habits related to healthy lifestyle as well as personal experiences concerning diabetes. This indicates that the one-on-one interactions added a special quality to the relationship of the children with the robot.}, url = {https://mheerink.home.xs4all.nl/pdf/ProceedingsNF2015-3.pdf}, author = {Kruijff-Korbayov{\'a}, Ivana and Oleari, Elettra and Pozzi, Clara and Sacchitelli, Francesca and Bagherzadhalimi, Anahita and Bellini, Sara and Kiefer, Bernd and Racioppa, Stefania and Coninx, Alexandre and Paul E. Baxter and Bierman, Bert and Henkemans, Olivier Blanson and Mark A. Neerincx and Rosemarijn Looije and Yiannis Demiris and Espinoza, Raquel Ros and Mosconi, Marco and Cosi, Piero and Remi Humbert and Lola Ca{\~n}amero and Hichem Sahli and Joachim de Greeff and James Kennedy and Robin Read and Lewis, Matthew and Antoine Hiolle and Giulio Paci and Sommavilla, Giacomo and Tesser, Fabio and Athanasopoulos, Georgios and Patsis, Georgios and Verhelst, Werner and Alberto Sanna and Tony Belpaeme} } @article {2012, title = {Multimodal Child-Robot Interaction: Building Social Bonds}, journal = {Journal of Human-Robot Interaction}, volume = {1}, year = {2012}, note = {Download (Open Access)}, pages = {33{\textendash}53}, abstract = {For robots to interact effectively with human users they must be capable of coordinated, timely behavior in response to social context. The Adaptive Strategies for Sustainable Long-Term Social Interaction (ALIZ-E) project focuses on the design of long-term, adaptive social interaction between robots and child users in real-world settings. In this paper, we report on the iterative approach taken to scientific and technical developments toward this goal: advancing individual technical competencies and integrating them to form an autonomous robotic system for evaluation {\textquotedblleft}in the wild.{\textquotedblright} The first evaluation iterations have shown the potential of this methodology in terms of adaptation of the robot to the interactant and the resulting influences on engagement. This sets the foundation for an ongoing research program that seeks to develop technologies for social robot companions.}, doi = {10.5898/JHRI.1.2.Belpaeme}, url = {https://dl.acm.org/doi/10.5555/3109688.3109691}, author = {Tony Belpaeme and Paul E. Baxter and Robin Read and Rachel Wood and Cuay{\'a}huitl, Heriberto and Kiefer, Bernd and Racioppa, Stefania and Kruijff-Korbayov{\'a}, Ivana and Athanasopoulos, Georgios and Valentin Enescu and Rosemarijn Looije and Mark A. Neerincx and Yiannis Demiris and Raquel Ros-Espinoza and Aryel Beck and Lola Ca{\~n}amero and Lewis, Matthew and Baroni, Ilaria and Nalin, Marco and Cosi, Piero and Giulio Paci and Tesser, Fabio and Sommavilla, Giacomo and Remi Humbert} } @inproceedings {2010, title = {Emotion in Decisions of Life and Death {\textendash} Its Role in Brain-Body-Environment Interactions for Predator and Prey}, booktitle = {Artificial Life XII: Proc. of the 12th International Conference on the Synthesis and Simulation of Living Systems}, year = {2010}, note = {Download (Open Access)}, month = {08/2010}, pages = {812{\textendash}822}, publisher = {MIT Press}, organization = {MIT Press}, address = {Odense, Denmark}, abstract = {Taking inspiration from the biological world, in our work we are attempting to create and examine artificial predator-prey relationships using two LEGO robots. We do so to explore the possible adaptive value of emotion-like states for action selection in this context. However, we also aim to study and consider these concepts together at different levels of abstraction. For example, in terms of individual agents{\textquoteright} brain-body-environment interactions, as well as the (emergent) predator-prey relationships resulting from these. Here, we discuss some of the background concepts and motivations driving the design of our implementation and experiments. First, we explain why we think the predator-prey relationship is so interesting. Narrowing our focus to emotion-based architectures, this is followed by a review of existing literature, comparing different types and highlighting the novel aspects of our own. We conclude with our proposed contributions to the literature and thus, ultimately, the design and creation of artificial life.}, url = {https://mitpress-request.mit.edu/sites/default/files/titles/alife/0262290758chap141.pdf}, author = {O{\textquoteright}Bryne, Claire and Lola Ca{\~n}amero}, editor = {Harold Fellermann and Mark D{\"o}rr and Martin M Hanczy and Lone Ladegaard Laursen and Sarah Maurer and Daniel Merkle and Pierre-Alain Monnard and Kasper St{\o}y and Steen Rasmussen} } @inbook {2009, title = {Emotion Modelling and Facial Affect Recognition in Human-Computer and Human-Robot Interaction}, booktitle = {Affective Computing, Emotion Modelling, Synthesis and Recognition}, year = {2009}, publisher = {InTechOpen Publishers}, organization = {InTechOpen Publishers}, chapter = {12}, isbn = {978-3-902613-42-4}, doi = {10.5772/6648}, url = {http://www.intechopen.com/books/state_of_the_art_in_face_recognition/emotion_modelling_and_facial_affect_recognition_in_human-computer_and_human-robot_interaction}, author = {Lori Malatesta and John C Murray and Amaryllis Raouzaiou and Antoine Hiolle and Lola Ca{\~n}amero and Kostas Karpouzis}, editor = {Mario I. Chacon-M.} } @inproceedings {2009, title = {The Influence of Social Interaction on the Perception of Emotional Expression: A Case Study with a Robot Head}, booktitle = {Advances in Robotics: Proc. FIRA RoboWorld Congress 2009}, series = {Lecture Notes in Computer Science}, volume = {5744}, year = {2009}, month = {08/2009}, pages = {63{\textendash}72}, publisher = {Springer Berlin Heidelberg}, organization = {Springer Berlin Heidelberg}, address = {Incheon, Korea}, abstract = {In this paper we focus primarily on the influence that socio-emotional interaction has on the perception of emotional expression by a robot. We also investigate and discuss the importance of emotion expression in socially interactive situations involving human robot interaction (HRI), and show the importance of utilising emotion expression when dealing with interactive robots, that are to learn and develop in socially situated environments. We discuss early expressional development and the function of emotion in communication in humans and how this can improve HRI communications. Finally we provide experimental results showing how emotion-rich interaction via emotion expression can affect the HRI process by providing additional information.}, isbn = {978-3-642-03983-6}, doi = {10.1007/978-3-642-03983-6_10}, url = {https://link.springer.com/chapter/10.1007\%2F978-3-642-03983-6_10}, author = {John C Murray and Lola Ca{\~n}amero and Kim A. Bard and Ross, Marina Davila and Thorsteinsson, Kate}, editor = {Kim, Jong-Hwan and Ge, Shuzhi Sam and Vadakkepat, Prahlad and Jesse, Norbert and Al Manum, Abdullah and Puthusserypady K, Sadasivan and R{\"u}ckert, Ulrich and Sitte, Joaquin and Witkowski, Ulf and Nakatsu, Ryohei and Braunl, Thomas and Baltes, Jacky and Anderson, John and Wong, Ching-Chang and Verner, Igor and Ahlgren, David} } @inbook {2003, title = {e-Tools: The use of Assistive Technologies to enhance disabled and senior citizens{\textquoteright} autonomy}, booktitle = {e-Health: Application of Computing Science in Medicine and Health Care}, year = {2003}, pages = {119{\textendash}132}, publisher = {Instituto Polit{\'e}cnico National Press}, organization = {Instituto Polit{\'e}cnico National Press}, abstract = {In this paper we present our preliminary ideas about the integration of several technologies to build specific e-tools for the disabled and for the new generation of senior citizens. {\textquoteleft}e-Tools{\textquoteright} stands for Embedded Tools, as we aim to embed intelligent assistive devices in homes and other facilities, creating ambient intelligence environments to give support to patients and caregivers. In particular, we aim to explore the benefits of the concept of situated intelligence to build intelligent artefacts that will enhance the autonomy of the target group during their daily life. We present here a multi-level architecture and our preliminary research on navigation schemes for a robotic wheelchair.}, author = {Cort{\'e}s, Ulises and Annicchiarico, Roberta and V{\'a}zquez-Salceda, Javier and Urdiales, Cristina and Lola Ca{\~n}amero and Maite L{\'o}pez and Miquel S{\`a}nchez-Marr{\`e} and Carlo Caltagirone}, editor = {I Rudom{\'\i}n and J V{\'a}zquez-Salceda and J L D{\'\i}az de Le{\'o}n Santiago} } @inproceedings {2002, title = {Comparing a Voting-Based Policy with Winner-Takes-All to Perform Action Selection in Motivational Agents}, booktitle = {Advances in Artificial Intelligence {\textendash} IBERAMIA 2002; Proc. 8th Ibero-American Conference on AI}, series = {Lecture Notes in Computer Science}, volume = {2527}, year = {2002}, pages = {855{\textendash}864}, publisher = {Springer}, organization = {Springer}, address = {Seville, Spain}, abstract = {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.}, isbn = {978-3-540-00131-7}, doi = {10.1007/3-540-36131-6_87}, author = {Avila-Garc{\'\i}a, Orlando and Lola Ca{\~n}amero}, editor = {Garijo, Francisco J and Riquelme, Jos{\'e} C and Toro, Miguel} }