TY - CONF
T1 - Adaptation-By-Proxy: Contagion Effect of Social Buffering in an Artificial Society
T2 - ALIFE 2021: The 2021 Conference on Artificial Life
Y1 - 2021
A1 - Imran Khan
A1 - Lola Cañamero
AB - The “social buffering” phenomenon proposes that social support facilitates wellbeing by reducing stress in a number of different ways. While this phenomenon may benefit agents with social support from others, its potential effects on the wider social group are less clear. Using a biologically-inspired artificial life model, we have investigated how some of the hypothesised hormonal mechanisms that underpin the “social buffering” phenomenon affect the wellbeing and interactions of agents without social support across numerous social and physical contexts. We tested these effects in a small, rank-based society, with half of the agents endowed with numerous hormonal mechanisms associated with “social buffering”, and half without. Surprisingly, our results found that these “social buffering” mechanisms provided survival-related advantages to agents without social support across numerous conditions. We found that agents with socially-adaptive mechanisms themselves become a proxy for adaptation, and suggest that, in some (artificial) societies, “social buffering” may be a contagious phenomenon.
JF - ALIFE 2021: The 2021 Conference on Artificial Life
PB - The MIT Press
UR - https://direct.mit.edu/isal/proceedings/isal/90/102917
N1 - Download (Open Access)
ER -
TY - CONF
T1 - Affect-grounded Language Learning in a Robot
T2 - FEEL-COG: The Role of Affect in the Development of Cognition, ICDL 2021 Workshop
Y1 - 2021
A1 - Zakaria Lemhaouri
A1 - Laura Cohen
A1 - Lola Cañamero
JF - FEEL-COG: The Role of Affect in the Development of Cognition, ICDL 2021 Workshop
UR - https://whisperproject.eu/workshop-feel-cog
N1 - Download (Open Access)
ER -
TY - CONF
T1 - Adaptation and the Social Salience Hypothesis of Oxytocin: Early Experiments in a Simulated Agent Environment
T2 - Proc. 2nd Symposium on Social Interactions in Complex Intelligent Systems (SICIS)
Y1 - 2018
A1 - Imran Khan
A1 - Lewis, Matthew
A1 - Lola Cañamero
AB - Allostasis is a mechanism that permits adaptation of an organism as a response to changing (physical or social) environmental conditions. Allostasis is driven by a number of factors, including regulation through hormonal mechanisms. Oxytocin (OT) is a hormone that has been found to play a role in regulating social behaviours and adaptation. However, the concrete effects that OT promotes remain unclear and controversial. One of these effects is on the attention paid to social cues (social salience). Two opposing hypotheses have been proposed. One hypothesis is that adaptation is achieved by increasing attention to social cues (increasing social salience), the other that adaptation is achieved by decreasing attention to social cues (decreasing social salience). In this paper, we present agent simulation experiments that test these two contrasting hypotheses under different environmental conditions related to food availability: a comfortable environment, a challenging environment, and a very challenging environment. Our results show that, for the particular conditions modelled, increased social salience through the release of simulated oxytocin presents significant advantages in the challenging conditions.
JF - Proc. 2nd Symposium on Social Interactions in Complex Intelligent Systems (SICIS)
T3 - Proc. 2018 Convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB 2018)
CY - Liverpool, UK
UR - http://aisb2018.csc.liv.ac.uk/PROCEEDINGS%20AISB2018/Social%20Interactions%20in%20Complex%20Intelligent%20Systems%20(SICIS)%20-%20AISB2018.pdf
N1 - Download full proceedings (PDF)
ER -
TY - CONF
T1 - An Affective Autonomous Robot Toddler to Support the Development of Self-Efficacy in Diabetic Children
T2 - Proc. 23rd Annual IEEE International Symposium on Robot and Human Interactive Communication (IEEE RO-MAN 2014)
Y1 - 2014
A1 - Lewis, Matthew
A1 - Lola Cañamero
AB - We present a software architecture and an interaction scenario for an autonomous robot toddler designed to support the development of self-efficacy in diabetic children, and discuss its potential medical benefits. We pay particular attention to the affective and social aspects of the interaction, as well as the importance of autonomy in the robot, examining their relationships to our scientific and therapeutic goals.
JF - Proc. 23rd Annual IEEE International Symposium on Robot and Human Interactive Communication (IEEE RO-MAN 2014)
PB - IEEE
CY - Edinburgh
SN - 978-1-4799-6763-6
UR - http://ieeexplore.ieee.org/document/6926279/
N1 - Download (or Download authors' draft)
ER -
TY - JOUR
T1 - Arousal Regulation and Affective Adaptation to Human Responsiveness by a Robot that Explores and Learns a Novel Environment
JF - Frontiers in Neurorobotics
Y1 - 2014
A1 - Antoine Hiolle
A1 - Lewis, Matthew
A1 - Lola Cañamero
AB - In the context of our work in developmental robotics regarding robot-human caregiver interactions, in this paper we investigate how a "baby" robot that explores and learns novel environments can adapt its affective regulatory behavior of soliciting help from a "caregiver" to the preferences shown by the caregiver in terms of varying responsiveness. We build on two strands of previous work that assessed independently (a) the differences between two "idealized" robot profiles – a "needy" and an "independent" robot – in terms of their use of a caregiver as a means to regulate the "stress" (arousal) produced by the exploration and learning of a novel environment, and (b) the effects on the robot behaviors of two caregiving profiles varying in their responsiveness – "responsive" and "non-responsive" – to the regulatory requests of the robot. Going beyond previous work, in this paper we (a) assess the effects that the varying regulatory behavior of the two robot profiles has on the exploratory and learning patterns of the robots; (b) bring together the two strands previously investigated in isolation and take a step further by endowing the robot with the capability to adapt its regulatory behavior along the "needy" and "independent" axis as a function of the varying responsiveness of the caregiver; and (c) analyze the effects that the varying regulatory behavior has on the exploratory and learning patterns of the adaptive robot.
VL - 8
UR - http://journal.frontiersin.org/article/10.3389/fnbot.2014.00017
N1 - Download (Open Access)
ER -
TY - CONF
T1 - Are Discrete Emotions Useful in Human-Robot Interaction? Feedback from Motion Capture Analysis
T2 - Proc. Affective Computing and Intelligent Interaction (ACII 2013)
Y1 - 2013
A1 - Lewis, Matthew
A1 - Lola Cañamero
AB - We have conducted a study analyzing motion capture data of bodily expressions of human emotions towards the goal of building a social expressive robot that interacts with and supports hospitalized children. Although modeling emotional expression (and recognition) in (by) robots in terms of discrete categories presents advantages such as ease and clarity of interpretation, our results show that this approach also poses a number of problems. The main issues relate to the loss of subtle expressions and feelings, individual features, context, and social interaction elements that are present in real life.
JF - Proc. Affective Computing and Intelligent Interaction (ACII 2013)
PB - IEEE
CY - Geneva, Switzerland
UR - https://ieeexplore.ieee.org/document/6681414
N1 - Download (or Download authors' draft)
ER -
TY - CONF
T1 - Assessing Human Responses to Different Robot Attachment Profiles
T2 - Proc. 18th Annual IEEE International Symposium on Robot and Human Interactive Communication (IEEE RO-MAN 2009)
Y1 - 2009
A1 - Antoine Hiolle
A1 - Kim A. Bard
A1 - Lola Cañamero
AB - Emotional regulation is believed to be crucial for a balanced emotional and cognitive development in infants. Furthermore, during the first year of a child's life, the mother is playing a central role in shaping the development, through the attachment bond she shares with her child. Based on previous work on our model of arousal modulation for an autonomous robot, we present an experiment where human adults were interacting visually and via tactile contact with a SONY Aibo robot exploring a children playmat. The robots had two different attachment profiles: one requiring less attention then the other. The subjects answered one questionnaire per robot, describing how they would rate their experience with each robot. The analysis of the subjects' responses allow us to conclude that this setting was sufficient to elicit positive and active caretaking-like behaviours from the subjects, according to the profile of the robot they interacted with.
JF - Proc. 18th Annual IEEE International Symposium on Robot and Human Interactive Communication (IEEE RO-MAN 2009)
PB - IEEE Press
CY - Toyama, Japan
SN - 978-1-4244-5081-7
UR - http://ieeexplore.ieee.org/document/5326216/
ER -
TY - CONF
T1 - Adaptive Olfactory Encoding in Agents Controlled by Spiking Neural Networks
T2 - From Animals to Animats 10: Proc. 10th International Conference on Simulation of Adaptive Behavior (SAB 2008)
Y1 - 2008
A1 - Oros, Nicolas
A1 - Volker Steuber
A1 - Davey, Neil
A1 - Lola Cañamero
A1 - Roderick G Adams
ED - Asada, Minoru
ED - Hallam, John C T
ED - Jean-Arcady Meyer
ED - Tani, Jun
AB - We created a neural architecture that can use two different types of information encoding strategies depending on the environment. The goal of this research was to create a simulated agent that could react to two different overlapping chemicals having varying concentrations. The neural network controls the agent by encoding its sensory information as temporal coincidences in a low concentration environment, and as firing rates at high concentration. With such an architecture, we could study synchronization of firing in a simple manner and see its effect on the agent’s behaviour.
JF - From Animals to Animats 10: Proc. 10th International Conference on Simulation of Adaptive Behavior (SAB 2008)
T3 - Lecture Notes in Computer Science (LNCS)
PB - Springer, Berlin, Heidelberg
CY - Osaka, Japan
VL - 5040
SN - 978-3-540-69134-1
UR - http://link.springer.com/chapter/10.1007/978-3-540-69134-1_15
ER -
TY - CHAP
T1 - Animating Affective Robots for Social Interaction
T2 - Animating Expressive Characters for Social Interaction
Y1 - 2008
A1 - Lola Cañamero
ED - Lola Cañamero
ED - Aylett, Ruth
JF - Animating Expressive Characters for Social Interaction
T3 - Advances in Consciousness Research
PB - John Benjamins Publishing Co.
SN - 978-90-272-5210-4
ER -
TY - BOOK
T1 - Animating Expressive Characters for Social Interaction
T2 - Advances in Consciousness Research
Y1 - 2008
ED - Lola Cañamero
ED - Aylett, Ruth
JF - Advances in Consciousness Research
PB - John Benjamins Publishing Co.
SN - 9789027289834
ER -
TY - CHAP
T1 - Anticipating Rewards in Continuous Time and Space: A Case Study in Developmental Robotics
T2 - Anticipatory Behavior in Adaptive Learning Systems: From Brains to Individual and Social Behavior
Y1 - 2007
A1 - Arnaud J Blanchard
A1 - Lola Cañamero
ED - Martin V Butz
ED - Olivier Sigaud
ED - Giovanni Pezzulo
ED - Gianluca Baldassarre
AB - This paper presents the first basic principles, implementation and experimental results of what could be regarded as a new approach to reinforcement learning, where agents—physical robots interacting with objects and other agents in the real world—can learn to anticipate rewards using their sensory inputs. Our approach does not need discretization, notion of events, or classification, and instead of learning rewards for the different possible actions of an agent in all the situations, we propose to make agents learn only the main situations worth avoiding and reaching. However, the main focus of our work is not reinforcement learning as such, but modeling cognitive development on a small autonomous robot interacting with an “adult” caretaker, typically a human, in the real world; the control architecture follows a Perception-Action approach incorporating a basic homeostatic principle. This interaction occurs in very close proximity, uses very coarse and limited sensory-motor capabilities, and affects the “well-being” and affective state of the robot. The type of anticipatory behavior we are concerned with in this context relates to both sensory and reward anticipation. We have applied and tested our model on a real robot.
JF - Anticipatory Behavior in Adaptive Learning Systems: From Brains to Individual and Social Behavior
T3 - Lecture Notes in Artificial Intelligence
PB - Springer
CY - Berlin, Heidelberg
VL - 4520
SN - 978-3-540-74261-6
UR - https://www.springer.com/gp/book/9783540742616
ER -
TY - Generic
T1 - Achieving Human-Like Qualities in Interactive Virtual and Physical Humanoids, Special issue of the International Journal of Humanoid Robotics
Y1 - 2006
ED - Catherine Pelachaud
ED - Lola Cañamero
ER -
TY - JOUR
T1 - Attachment Bonds for Human-Like Robots
JF - International Journal of Humanoid Robotics
Y1 - 2006
A1 - Lola Cañamero
A1 - Arnaud J Blanchard
A1 - Jacqueline Nadel
AB - If robots are to be truly integrated in humans' everyday environment, they cannot be simply (pre-)designed and directly taken "off the shelf" and embedded into a real-life setting. Also, technical excellence and human-like appearance and "superficial" traits of their behavior are not enough to make social robots trusted, believable, and accepted. Fuller and deeper integration into human environments would require that, like children, robots develop embedded in the social environment in which they will fulfill their roles. An important element to bootstrap and guide this integration is the establishment of affective bonds between the "infant" robot and the adults among whom it develops, from whom it learns, and who it will later have to look after. In this paper, we present a Perception–Action architecture and experiments to simulate imprinting — the establishment of strong attachment links with a "caregiver" — in a robot. Following recent theories, we do not consider imprinting as rigidly timed and irreversible, but as a more flexible phenomenon that allows for further adaptation as a result of reward-based learning through experience. After the initial imprinting, adaptation is achieved in the context of a history of "affective" interactions between the robot and a human, driven by "distress" and "comfort" responses in the robot.
VL - 3
UR - http://www.worldscientific.com/doi/abs/10.1142/S0219843606000771
IS - 3
ER -
TY - Generic
T1 - Agents that Want and Like: Motivational and Emotional Roots of Cognition and Action. Papers from the AISB'05 Symposium
Y1 - 2005
ED - Lola Cañamero
PB - AISB
CY - Hatfield, UK
SN - 1-902956-41-7
UR - https://www.aisb.org.uk/publications/proceedings/aisb2005/2_Agents_Final.pdf
ER -
TY - Generic
T1 - Architectures for Modeling Emotion: Cross-Disciplinary Foundations
T2 - Papers from the 2004 AAAI Spring Symposium
Y1 - 2004
ED - Eva Hudlicka
ED - Lola Cañamero
JF - Papers from the 2004 AAAI Spring Symposium
PB - AAAI Press
ER -
TY - CONF
T1 - Analyzing the Performance of "Winner-Take-All" and "Voting-Based" Action Selection Policies within the Two-Resource Problem
T2 - Advances in Artificial Life: 7th European Conference, ECAL 2003
Y1 - 2003
A1 - Avila-García, Orlando
A1 - Lola Cañamero
A1 - René te Boekhorst
ED - Banzhaf, Wolfgang
ED - Christaller, Thomas
ED - Dittrich, Peter
ED - Kim, Jan T
ED - Ziegler, Jens
AB - The problem of action selection for an autonomous creature implies resolving conflicts between competing behavioral alternatives. These conflicts can be resolved either via competition, following a “winner-take-all” approach, or via cooperation in a “voting-based” approach. In this paper we present two robotic architectures implementing these approaches, and report on experiments we have performed to compare their underlying optimization policies. We have framed this study within the context of the “two-resource problem,” as it provides a widely used standard that favors systematic experimentation, analysis, and comparison of results.
JF - Advances in Artificial Life: 7th European Conference, ECAL 2003
T3 - Lecture Notes in Artificial Intelligence
PB - Springer
CY - Dortmund, Germany
VL - 2801
SN - 978-3-540-20057-4
UR - https://link.springer.com/chapter/10.1007%2F978-3-540-39432-7_79
N1 - Download
ER -
TY - JOUR
T1 - Assistive technologies for the disabled and for the new generation of senior citizens: The e-Tools architecture
JF - AI Communications
Y1 - 2003
A1 - Cortés, Ulises
A1 - Annicchiarico, Roberta
A1 - Vázquez-Salceda, Javier
A1 - Urdiales, Cristina
A1 - Lola Cañamero
A1 - Maite López
A1 - Miquel Sànchez-Marrè
A1 - Carlo Caltagirone
AB - In this paper we present our exploratory ideas about the integration of agent technology with other technologies to build specific e-tools for the disabled and for the new generation of senior citizens. "e-Tools" 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 artefacts that will enhance the autonomy of the target user group in their daily life.
PB - IOS Press
CY - Amsterdam, The Netherlands
VL - 16
UR - http://content.iospress.com/articles/ai-communications/aic288
IS - 3
ER -
TY - CONF
T1 - Affect-Driven CBR to Generate Expressive Music
T2 - Case-Based Reasoning Research and Development. Third International Conference on Case-Based Reasoning, ICCBR'99
Y1 - 1999
A1 - Josep Lluís Arcos
A1 - D Cañamero
A1 - Ramon López de Mántaras
ED - Althoff, Klaus-Dieter
ED - Bergmann, Ralph
ED - L Karl Branting
AB - We present an extension of an existing system, called SaxEx, capable of generating expressive musical performances based on Case-Based Reasoning (CBR) techniques. The previous version of SaxEx did not take into account the possibility of using affective labels to guide the CBR task. This paper discusses the introduction of such affective knowledge to improve the retrieval capabilities of the system. Three affective dimensions are considered—tender-aggressive, sad-joyful, and calm-restless that allow the user to declaratively instruct the system to perform according to any combination of five qualitative values along these three dimensions.
JF - Case-Based Reasoning Research and Development. Third International Conference on Case-Based Reasoning, ICCBR'99
T3 - Lecture Notes in Artificial Intelligence
PB - Springer Berlin Heidelberg
VL - 1650
SN - 978-3-540-66237-2
ER -
TY - CONF
T1 - Affect-Driven Generation of Expressive Musical Performances
T2 - Emotional and Intelligent: The Tangled Knot of Cognition. Papers from the 1998 AAAI Fall Symposium
Y1 - 1998
A1 - Josep Lluís Arcos
A1 - D Cañamero
A1 - Ramon López de Mántaras
JF - Emotional and Intelligent: The Tangled Knot of Cognition. Papers from the 1998 AAAI Fall Symposium
PB - AAAI Press
ER -