@inproceedings {2022, title = {The Role of the Caregiver{\textquoteright}s Responsiveness in Affect-Grounded Language Learning by a Robot: Architecture and First Experiments}, booktitle = {Proc. 2022 IEEE International Conference on Development and Learning (ICDL), 12-15 September 2022}, year = {2022}, month = {12/2022}, pages = {349{\textendash}354}, publisher = {IEEE Explorer}, organization = {IEEE Explorer}, address = {Queen Mary University, London, United Kingdom}, doi = {10.1109/ICDL53763.2022.9962197}, url = {https://doi.org/10.1109/ICDL53763.2022.9962197}, author = {Lemhaouri, Z and Cohen, L. and Ca{\~n}amero, L} } @article {2019, title = {A Robot Model of OC-Spectrum Disorders: Design Framework, Implementation and First Experiments}, journal = {Computational Psychiatry}, volume = {3}, year = {2019}, note = {Download (Open Access)}, pages = {40{\textendash}75}, publisher = {MIT Press}, abstract = {Computational psychiatry is increasingly establishing itself as valuable discipline for understanding human mental disorders. However, robot models and their potential for investigating embodied and contextual aspects of mental health have been, to date, largely unexplored. In this paper, we present an initial robot model of obsessive-compulsive (OC) spectrum disorders based on an embodied motivation-based control architecture for decision making in autonomous robots. The OC family of conditions is chiefly characterized by obsessions (recurrent, invasive thoughts) and/or compulsions (an urge to carry out certain repetitive or ritualized behaviors). The design of our robot model follows and illustrates a general design framework that we have proposed to ground research in robot models of mental disorders, and to link it with existing methodologies in psychiatry, and notably in the design of animal models. To test and validate our model, we present and discuss initial experiments, results, and quantitative and qualitative analysis regarding the compulsive and obsessive elements of OC-spectrum disorders. While this initial stage of development only models basic elements of such disorders, our results already shed light on aspects of the underlying theoretical model that are not obvious simply from consideration of the model.}, doi = {10.1162/cpsy_a_00025}, url = {https://cpsyjournal.org/article/10.1162/CPSY_a_00025/}, author = {Lewis, Matthew and Naomi Fineberg and Lola Ca{\~n}amero} } @inproceedings {2019, title = {A Robot Model of Stress-Induced Compulsive Behavior}, booktitle = {Proc. 8th International Conference on Affective Computing \& Intelligent Interaction (ACII 2019)}, year = {2019}, note = {Download (or Download accepted version)}, month = {09/2019}, pages = {559{\textendash}565}, publisher = {IEEE}, organization = {IEEE}, address = {Cambridge, United Kingdom}, abstract = {Stress is one of the potential mechanisms underlying compulsive behavior in obsessive-compulsive spectrum disorders. In this paper, we present a robot model and experiments investigating the interactions between internally- and externally-induced stress and compulsive behavior. Our results show properties of the model with potential implications for understanding how stress can result in the generation and maintenance of compulsive behaviors, and how response-prevention interventions can affect compulsive responses under different conditions.}, doi = {10.1109/ACII.2019.8925511}, url = {https://ieeexplore.ieee.org/document/8925511}, author = {Lewis, Matthew and Lola Ca{\~n}amero} } @inproceedings {9998, title = {Robin: An Autonomous Robot for Diabetic Children}, booktitle = {Proc. UK-RAS Conference: {\textquoteright}Robots Working For \& Among Us{\textquoteright}, 2017}, year = {2018}, note = {Winner: 1st Prize, Best Paper Download}, pages = {13{\textendash}15}, address = {Bristol, UK}, abstract = {We describe the cognitively and motivationally autonomous robot toddler Robin, designed as a tool to help children learn about diabetes management. The design of Robin follows an Embodied Artificial Intelligence approach to robotics, to create a robust social interaction agent, friendly but independent. We have used Robin in autonomous interactions with diabetic children in a scenario designed to give them mastery experiences of diabetes management in order to increase their self-efficacy.}, author = {Lewis, Matthew and Lola Ca{\~n}amero} } @inproceedings {9998, title = {Robot Models of Mental Disorders}, booktitle = {Proc. 7th International Conference on Affective Computing and Intelligent Interaction, Workshops and Demos (ACIIW 2017)}, year = {2017}, note = {Download (or Download authors{\textquoteright} draft)}, month = {10/2017}, pages = {193{\textendash}200}, publisher = {IEEE}, organization = {IEEE}, address = {San Antonio, TX}, abstract = {Alongside technological tools to support wellbeing and treatment of mental disorders, models of these disorders can also be invaluable tools to understand, support and improve these conditions. Robots can provide ecologically valid models that take into account embodiment-, interaction-, and context-related elements. Focusing on Obsessive-Compulsive spectrum disorders, in this paper we discuss some of the potential contributions of robot models and relate them to other models used in psychology and psychiatry, particularly animal models. We also present some initial recommendations for their meaningful design and rigorous use.}, isbn = {978-1-5386-0680-3}, doi = {10.1109/ACIIW.2017.8272613}, url = {http://ieeexplore.ieee.org/document/8272613/}, author = {Lewis, Matthew and Lola Ca{\~n}amero} } @inproceedings {2015, title = {A Reactive Competitive Emotion Selection System}, booktitle = {Proc. 7th International Conference on Social Robotics (ICSR-2015)}, series = {Lecture Notes in Computer Science}, year = {2015}, note = {Download}, pages = {31{\textendash}40}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Paris}, abstract = {We present a reactive emotion selection system designed to be used in a robot that needs to respond autonomously to relevant events. A variety of emotion selection models based on "cognitive appraisal" theories exist, but the complexity of the concepts used by most of these models limits their use in robotics. Robots have physical constrains that condition their understanding of the world and limit their capacity to built the complex concepts needed for such models. The system presented in this paper was conceived to respond to "disturbances" detected in the environment through a stream of images, and use this low-level information to update emotion intensities. They are increased when specific patterns, based on Tomkins{\textquoteright} affect theory, are detected or reduced when it is not. This system could also be used as part of (or as first step in the incremental design of) a more cognitively complex emotional system for autonomous robots.}, keywords = {Emotion production, Emotional models, Human Robot Interaction, Social robotics}, isbn = {978-3-319-25553-8}, doi = {10.1007/978-3-319-25554-5_4}, url = {https://link.springer.com/chapter/10.1007\%2F978-3-319-25554-5_4}, author = {Angel Fernandez, Julian M. and Bonarini, Andrea and Lola Ca{\~n}amero}, editor = {Tapus, Adriana and Andr{\'e}, Elisabeth and Martin, Jean-Claude and Ferland, Fran{\c c}ois and Ammi, Mehdi} } @inproceedings {2014, title = {A Robot that Uses Arousal to Detect Learning Challenges and Seek Help}, booktitle = {Proc. 14th Conference on the Synthesis and Simulation of Living Systems (ALIFE 2014)}, year = {2014}, note = {Download}, pages = {864{\textendash}871}, publisher = {MIT Press}, organization = {MIT Press}, address = {New York, NY}, abstract = {In the context of our work on dyadic robot-human (caregiver) interaction from a developmental robotics perspective, in this paper we investigate how an autonomous robot that explores and learns novel environments can make use of its arousal system to detect situations that constitute learning challenges, and request help from a human at points where this help is most needed and can be most beneficial. In a set of experiments, our robot learns to classify and recognize the perceptual properties of various objects placed on a table. We show that the arousal system of the robot permits it to identify and react to incongruent and novel features in the environment. More specifically, our results show that the robot identifies perceived outliers and episodic perceptual anomalies. As in the case of young infants, arousal variations trigger regulatory behaviours that engage caregivers in helping behaviors. We conclude that this attachment-based architecture provides a generic process that permits a robot to request interventions from a human caregiver during relevant events.}, isbn = {978-0-262-32621-6}, doi = {10.7551/978-0-262-32621-6-ch142}, url = {https://www.mitpressjournals.org/doi/abs/10.1162/978-0-262-32621-6-ch142}, author = {Antoine Hiolle and Lewis, Matthew and Lola Ca{\~n}amero} } @inproceedings {2009, title = {The role of lateral inhibition in the sensory processing in a simulated spiking neural controller for a robot}, booktitle = {Proc. 2009 IEEE Symposium on Artificial Life (ALIFE 2009)}, year = {2009}, month = {03/2009}, pages = {179{\textendash}183}, publisher = {IEEE}, organization = {IEEE}, address = {Nashville, TN}, abstract = {Visual adaptation is the process that allows animals to be able to see over a wide range of light levels. This is achieved partially by lateral inhibition in the retina which compensates for low/high light levels. Neural controllers which cause robots to turn away from or towards light tend to work in a limited range of light conditions. In real environments, the light conditions can vary greatly reducing the effectiveness of the robot. Our solution for a simple Braitenberg vehicle is to add a single inhibitory neuron which laterally inhibits the output to the robot motors. This solution has additionally reduced the computational complexity of our simple neuron allowing for a greater number of neurons to be simulated with a fixed set of resources.}, isbn = {978-1-4244-2763-5}, issn = {2160-6374}, doi = {10.1109/ALIFE.2009.4937710}, url = {http://ieeexplore.ieee.org/document/4937710/}, author = {David Bowes and Roderick G Adams and Lola Ca{\~n}amero and Volker Steuber and Davey, Neil} } @inproceedings {2008, title = {Receptor Response and Soma Leakiness in a Simulated Spiking Neural Controller for a Robot}, booktitle = {Proc. 4th International Workshop on Artificial Neural Networks and Intelligent Information Processing (ANNIIP 2008)}, year = {2008}, month = {05/2008}, pages = {100{\textendash}106}, publisher = {INSTICC (Inst. Syst. Technologies Information Control and Communication)}, organization = {INSTICC (Inst. Syst. Technologies Information Control and Communication)}, address = {Funchal, Madeira, Portugal}, abstract = {This paper investigates different models of leakiness for the soma of a simulated spiking neural controller for a robot exhibiting negative photo-taxis. It also investigates two models of receptor response to stimulus levels. The results show that exponential decay of ions across the soma and of a receptor response function where intensity is proportional to intensity is the best combination for dark seeking behaviour.}, isbn = {978-989-8111-33-3}, url = {https://uhra.herts.ac.uk/handle/2299/6832}, author = {David Bowes and Roderick G Adams and Lola Ca{\~n}amero and Volker Steuber and Davey, Neil}, editor = {Madani, K} } @article {2008, title = {Reconnaissance et r{\'e}sonance {\'e}motionnelle face {\`a} un humain et {\`a} un robot chez des enfants typiques et des enfants avec autisme de haut niveau}, year = {2008}, author = {M Simon and P Canet and R Soussignan and Philippe Gaussier and Lola Ca{\~n}amero and Jacqueline Nadel} } @inproceedings {2002, title = {Relating Behavior Selection Architectures to Environmental Complexity}, booktitle = {From Animals to Animats: Proc. 7th International Conference on Simulation of Adaptive Behavior}, year = {2002}, pages = {127{\textendash}128}, publisher = {MIT Press}, organization = {MIT Press}, address = {Edinburgh, Scotland}, isbn = {9780-262-58217-9}, author = {Avila-Garc{\'\i}a, Orlando and Hafner, Elena and Lola Ca{\~n}amero}, editor = {Bridget Hallam and Dario Floreano and John Hallam and Gillian M Hayes and Jean-Arcady Meyer} }