<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Markelius, A.</style></author><author><style face="normal" font="default" size="100%">Sjöberg, S.</style></author><author><style face="normal" font="default" size="100%">Lemhaouri, Z.</style></author><author><style face="normal" font="default" size="100%">Cohen, L.</style></author><author><style face="normal" font="default" size="100%">Lowe, R.</style></author><author><style face="normal" font="default" size="100%">Cañamero, L.</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Abdulaziz Al Ali</style></author><author><style face="normal" font="default" size="100%">Nader Meskin</style></author><author><style face="normal" font="default" size="100%">Wanyue Jiang</style></author><author><style face="normal" font="default" size="100%">Shuzhi Sam Ge</style></author><author><style face="normal" font="default" size="100%">John-John Cabibihan</style></author><author><style face="normal" font="default" size="100%">Silvia Rossi</style></author><author><style face="normal" font="default" size="100%">Hongsheng He</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">A Human-Robot Mutual Learning System with Affect-Grounded Language Acquisition and Differential Outcomes Training</style></title><secondary-title><style face="normal" font="default" size="100%">Social Robotics. 15th International Conference, ICSR 2023, Proceedings Part II</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2024</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://doi.org/10.1007/978-981-99-8718-4</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Springer</style></publisher><pub-location><style face="normal" font="default" size="100%">Doha, Qatar, December 3–7, 2023</style></pub-location><volume><style face="normal" font="default" size="100%">LNAI 14454</style></volume><pages><style face="normal" font="default" size="100%">108–122</style></pages><isbn><style face="normal" font="default" size="100%">978-981-99-8717-7</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Hickton, Luke</style></author><author><style face="normal" font="default" size="100%">Lewis, Matthew</style></author><author><style face="normal" font="default" size="100%">Lola Cañamero</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Abdelkhilick Mohammad</style></author><author><style face="normal" font="default" size="100%">Xin Dong</style></author><author><style face="normal" font="default" size="100%">Matteo Russo</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Expression of Grounded Affect: How Much Emotion Can Arousal Convey?</style></title><secondary-title><style face="normal" font="default" size="100%">Proc. 21st Towards Autonomous Robotic Systems Conference  (TAROS2020)</style></secondary-title><tertiary-title><style face="normal" font="default" size="100%">Lecture Notes in Computer Science</style></tertiary-title></titles><dates><year><style  face="normal" font="default" size="100%">2020</style></year><pub-dates><date><style  face="normal" font="default" size="100%">09/2020</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://link.springer.com/chapter/10.1007/978-3-030-63486-5_26</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Springer</style></publisher><pub-location><style face="normal" font="default" size="100%">Nottingham, UK</style></pub-location><volume><style face="normal" font="default" size="100%">12228</style></volume><pages><style face="normal" font="default" size="100%">234–248</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">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 ‘scenes’. 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.</style></abstract><notes><style face="normal" font="default" size="100%">&lt;a href=&quot;https://www.nottingham.ac.uk/conference/fac-eng/taros/proceedings/proceedings.aspx&quot;&gt;Download&lt;/a&gt; (the complete proceedings are available from the link on this page)</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Ana Tanevska</style></author><author><style face="normal" font="default" size="100%">Francesco Rea</style></author><author><style face="normal" font="default" size="100%">Giulio Sandini</style></author><author><style face="normal" font="default" size="100%">Lola Cañamero</style></author><author><style face="normal" font="default" size="100%">Alessandra Sciutti</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Socially Adaptable Framework for Human-Robot Interaction</style></title><secondary-title><style face="normal" font="default" size="100%">Frontiers in Robotics and AI</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2020</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.frontiersin.org/article/10.3389/frobt.2020.00121</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">7</style></volume><pages><style face="normal" font="default" size="100%">121</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">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.</style></abstract><notes><style face="normal" font="default" size="100%">&lt;a href=&quot;https://www.frontiersin.org/article/10.3389/frobt.2020.00121&quot;&gt;Download&lt;/a&gt; (Open Access)</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Ana Tanevska</style></author><author><style face="normal" font="default" size="100%">Francesco Rea</style></author><author><style face="normal" font="default" size="100%">Giulio Sandini</style></author><author><style face="normal" font="default" size="100%">Lola Cañamero</style></author><author><style face="normal" font="default" size="100%">Alessandra Sciutti</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Cognitive Architecture for Socially Adaptable Robots</style></title><secondary-title><style face="normal" font="default" size="100%">Proc. 2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style  face="normal" font="default" size="100%">08/2019</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://ieeexplore.ieee.org/document/8850688</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pub-location><style face="normal" font="default" size="100%">Oslo, Norway</style></pub-location><pages><style face="normal" font="default" size="100%">195–200</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><notes><style face="normal" font="default" size="100%">&lt;a href=&quot;https://ieeexplore.ieee.org/document/8850688&quot;&gt;Download&lt;/a&gt;</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Ana Tanevska</style></author><author><style face="normal" font="default" size="100%">Francesco Rea</style></author><author><style face="normal" font="default" size="100%">Giulio Sandini</style></author><author><style face="normal" font="default" size="100%">Lola Cañamero</style></author><author><style face="normal" font="default" size="100%">Alessandra Sciutti</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Eager to Learn vs. Quick to Complain? How a socially adaptive robot architecture performs with different robot personalities</style></title><secondary-title><style face="normal" font="default" size="100%">Proc. 2019 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2019)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style  face="normal" font="default" size="100%">10/2019</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://ieeexplore.ieee.org/document/8913903</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pub-location><style face="normal" font="default" size="100%">Bari, Italy</style></pub-location><pages><style face="normal" font="default" size="100%">365–371</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">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.</style></abstract><notes><style face="normal" font="default" size="100%">&lt;a href=&quot;https://ieeexplore.ieee.org/document/8913903&quot;&gt;Download&lt;/a&gt;</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Kruijff-Korbayová, Ivana</style></author><author><style face="normal" font="default" size="100%">Oleari, Elettra</style></author><author><style face="normal" font="default" size="100%">Pozzi, Clara</style></author><author><style face="normal" font="default" size="100%">Sacchitelli, Francesca</style></author><author><style face="normal" font="default" size="100%">Bagherzadhalimi, Anahita</style></author><author><style face="normal" font="default" size="100%">Bellini, Sara</style></author><author><style face="normal" font="default" size="100%">Kiefer, Bernd</style></author><author><style face="normal" font="default" size="100%">Racioppa, Stefania</style></author><author><style face="normal" font="default" size="100%">Coninx, Alexandre</style></author><author><style face="normal" font="default" size="100%">Paul E. Baxter</style></author><author><style face="normal" font="default" size="100%">Bierman, Bert</style></author><author><style face="normal" font="default" size="100%">Henkemans, Olivier Blanson</style></author><author><style face="normal" font="default" size="100%">Mark A. Neerincx</style></author><author><style face="normal" font="default" size="100%">Rosemarijn Looije</style></author><author><style face="normal" font="default" size="100%">Yiannis Demiris</style></author><author><style face="normal" font="default" size="100%">Espinoza, Raquel Ros</style></author><author><style face="normal" font="default" size="100%">Mosconi, Marco</style></author><author><style face="normal" font="default" size="100%">Cosi, Piero</style></author><author><style face="normal" font="default" size="100%">Remi Humbert</style></author><author><style face="normal" font="default" size="100%">Lola Cañamero</style></author><author><style face="normal" font="default" size="100%">Hichem Sahli</style></author><author><style face="normal" font="default" size="100%">Joachim de Greeff</style></author><author><style face="normal" font="default" size="100%">James Kennedy</style></author><author><style face="normal" font="default" size="100%">Robin Read</style></author><author><style face="normal" font="default" size="100%">Lewis, Matthew</style></author><author><style face="normal" font="default" size="100%">Antoine Hiolle</style></author><author><style face="normal" font="default" size="100%">Giulio Paci</style></author><author><style face="normal" font="default" size="100%">Sommavilla, Giacomo</style></author><author><style face="normal" font="default" size="100%">Tesser, Fabio</style></author><author><style face="normal" font="default" size="100%">Athanasopoulos, Georgios</style></author><author><style face="normal" font="default" size="100%">Patsis, Georgios</style></author><author><style face="normal" font="default" size="100%">Verhelst, Werner</style></author><author><style face="normal" font="default" size="100%">Alberto Sanna</style></author><author><style face="normal" font="default" size="100%">Tony Belpaeme</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Let’s Be Friends: Perception of a Social Robotic Companion for children with T1DM</style></title><secondary-title><style face="normal" font="default" size="100%">Proc. New Friends 2015</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">10/2015</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://mheerink.home.xs4all.nl/pdf/ProceedingsNF2015-3.pdf</style></url></web-urls></urls><pub-location><style face="normal" font="default" size="100%">Almere, The Netherlands</style></pub-location><pages><style face="normal" font="default" size="100%">32–33</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">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.</style></abstract><notes><style face="normal" font="default" size="100%">&lt;a href=&quot;https://mheerink.home.xs4all.nl/pdf/ProceedingsNF2015-3.pdf&quot;&gt;Download full proceedings&lt;/a&gt; (PDF)</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Tony Belpaeme</style></author><author><style face="normal" font="default" size="100%">Paul E. Baxter</style></author><author><style face="normal" font="default" size="100%">Robin Read</style></author><author><style face="normal" font="default" size="100%">Rachel Wood</style></author><author><style face="normal" font="default" size="100%">Cuayáhuitl, Heriberto</style></author><author><style face="normal" font="default" size="100%">Kiefer, Bernd</style></author><author><style face="normal" font="default" size="100%">Racioppa, Stefania</style></author><author><style face="normal" font="default" size="100%">Kruijff-Korbayová, Ivana</style></author><author><style face="normal" font="default" size="100%">Athanasopoulos, Georgios</style></author><author><style face="normal" font="default" size="100%">Valentin Enescu</style></author><author><style face="normal" font="default" size="100%">Rosemarijn Looije</style></author><author><style face="normal" font="default" size="100%">Mark A. Neerincx</style></author><author><style face="normal" font="default" size="100%">Yiannis Demiris</style></author><author><style face="normal" font="default" size="100%">Raquel Ros-Espinoza</style></author><author><style face="normal" font="default" size="100%">Aryel Beck</style></author><author><style face="normal" font="default" size="100%">Lola Cañamero</style></author><author><style face="normal" font="default" size="100%">Lewis, Matthew</style></author><author><style face="normal" font="default" size="100%">Baroni, Ilaria</style></author><author><style face="normal" font="default" size="100%">Nalin, Marco</style></author><author><style face="normal" font="default" size="100%">Cosi, Piero</style></author><author><style face="normal" font="default" size="100%">Giulio Paci</style></author><author><style face="normal" font="default" size="100%">Tesser, Fabio</style></author><author><style face="normal" font="default" size="100%">Sommavilla, Giacomo</style></author><author><style face="normal" font="default" size="100%">Remi Humbert</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Multimodal Child-Robot Interaction: Building Social Bonds</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Human-Robot Interaction</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://dl.acm.org/doi/10.5555/3109688.3109691</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">1</style></volume><pages><style face="normal" font="default" size="100%">33–53</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">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 “in the wild.” 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.</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue><notes><style face="normal" font="default" size="100%">&lt;a href=&quot;https://dl.acm.org/doi/10.5555/3109688.3109691&quot;&gt;Download&lt;/a&gt; (Open Access)</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">O'Bryne, Claire</style></author><author><style face="normal" font="default" size="100%">Lola Cañamero</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Harold Fellermann</style></author><author><style face="normal" font="default" size="100%">Mark Dörr</style></author><author><style face="normal" font="default" size="100%">Martin M Hanczy</style></author><author><style face="normal" font="default" size="100%">Lone Ladegaard Laursen</style></author><author><style face="normal" font="default" size="100%">Sarah Maurer</style></author><author><style face="normal" font="default" size="100%">Daniel Merkle</style></author><author><style face="normal" font="default" size="100%">Pierre-Alain Monnard</style></author><author><style face="normal" font="default" size="100%">Kasper Støy</style></author><author><style face="normal" font="default" size="100%">Steen Rasmussen</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Emotion in Decisions of Life and Death – Its Role in Brain-Body-Environment Interactions for Predator and Prey</style></title><secondary-title><style face="normal" font="default" size="100%">Artificial Life XII: Proc. of the 12th International Conference on the Synthesis and Simulation of Living Systems</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2010</style></year><pub-dates><date><style  face="normal" font="default" size="100%">08/2010</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://mitpress-request.mit.edu/sites/default/files/titles/alife/0262290758chap141.pdf</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">MIT Press</style></publisher><pub-location><style face="normal" font="default" size="100%">Odense, Denmark</style></pub-location><pages><style face="normal" font="default" size="100%">812–822</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">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’ 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.</style></abstract><notes><style face="normal" font="default" size="100%">&lt;a href=&quot;https://mitpress-request.mit.edu/sites/default/files/titles/alife/0262290758chap141.pdf&quot;&gt;Download&lt;/a&gt; (Open Access)</style></notes></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Lori Malatesta</style></author><author><style face="normal" font="default" size="100%">John C Murray</style></author><author><style face="normal" font="default" size="100%">Amaryllis Raouzaiou</style></author><author><style face="normal" font="default" size="100%">Antoine Hiolle</style></author><author><style face="normal" font="default" size="100%">Lola Cañamero</style></author><author><style face="normal" font="default" size="100%">Kostas Karpouzis</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Mario I. Chacon-M.</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Emotion Modelling and Facial Affect Recognition in Human-Computer and Human-Robot Interaction</style></title><secondary-title><style face="normal" font="default" size="100%">Affective Computing, Emotion Modelling, Synthesis and Recognition</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">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</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">InTechOpen Publishers</style></publisher><isbn><style face="normal" font="default" size="100%">978-3-902613-42-4</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><section><style face="normal" font="default" size="100%">12</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">John C Murray</style></author><author><style face="normal" font="default" size="100%">Lola Cañamero</style></author><author><style face="normal" font="default" size="100%">Kim A. Bard</style></author><author><style face="normal" font="default" size="100%">Ross, Marina Davila</style></author><author><style face="normal" font="default" size="100%">Thorsteinsson, Kate</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Kim, Jong-Hwan</style></author><author><style face="normal" font="default" size="100%">Ge, Shuzhi Sam</style></author><author><style face="normal" font="default" size="100%">Vadakkepat, Prahlad</style></author><author><style face="normal" font="default" size="100%">Jesse, Norbert</style></author><author><style face="normal" font="default" size="100%">Al Manum, Abdullah</style></author><author><style face="normal" font="default" size="100%">Puthusserypady K, Sadasivan</style></author><author><style face="normal" font="default" size="100%">Rückert, Ulrich</style></author><author><style face="normal" font="default" size="100%">Sitte, Joaquin</style></author><author><style face="normal" font="default" size="100%">Witkowski, Ulf</style></author><author><style face="normal" font="default" size="100%">Nakatsu, Ryohei</style></author><author><style face="normal" font="default" size="100%">Braunl, Thomas</style></author><author><style face="normal" font="default" size="100%">Baltes, Jacky</style></author><author><style face="normal" font="default" size="100%">Anderson, John</style></author><author><style face="normal" font="default" size="100%">Wong, Ching-Chang</style></author><author><style face="normal" font="default" size="100%">Verner, Igor</style></author><author><style face="normal" font="default" size="100%">Ahlgren, David</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">The Influence of Social Interaction on the Perception of Emotional Expression: A Case Study with a Robot Head</style></title><secondary-title><style face="normal" font="default" size="100%">Advances in Robotics: Proc. FIRA RoboWorld Congress 2009</style></secondary-title><tertiary-title><style face="normal" font="default" size="100%">Lecture Notes in Computer Science</style></tertiary-title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">08/2009</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://link.springer.com/chapter/10.1007%2F978-3-642-03983-6_10</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Springer Berlin Heidelberg</style></publisher><pub-location><style face="normal" font="default" size="100%">Incheon, Korea</style></pub-location><volume><style face="normal" font="default" size="100%">5744</style></volume><pages><style face="normal" font="default" size="100%">63–72</style></pages><isbn><style face="normal" font="default" size="100%">978-3-642-03983-6</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">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.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Cortés, Ulises</style></author><author><style face="normal" font="default" size="100%">Annicchiarico, Roberta</style></author><author><style face="normal" font="default" size="100%">Vázquez-Salceda, Javier</style></author><author><style face="normal" font="default" size="100%">Urdiales, Cristina</style></author><author><style face="normal" font="default" size="100%">Lola Cañamero</style></author><author><style face="normal" font="default" size="100%">Maite López</style></author><author><style face="normal" font="default" size="100%">Miquel Sànchez-Marrè</style></author><author><style face="normal" font="default" size="100%">Carlo Caltagirone</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">I Rudomín</style></author><author><style face="normal" font="default" size="100%">J Vázquez-Salceda</style></author><author><style face="normal" font="default" size="100%">J L Díaz de León Santiago</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">e-Tools: The use of Assistive Technologies to enhance disabled and senior citizens’ autonomy</style></title><secondary-title><style face="normal" font="default" size="100%">e-Health: Application of Computing Science in Medicine and Health Care</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2003</style></year></dates><publisher><style face="normal" font="default" size="100%">Instituto Politécnico National Press</style></publisher><pages><style face="normal" font="default" size="100%">119–132</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">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. ‘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 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.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Avila-García, Orlando</style></author><author><style face="normal" font="default" size="100%">Lola Cañamero</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Garijo, Francisco J</style></author><author><style face="normal" font="default" size="100%">Riquelme, José C</style></author><author><style face="normal" font="default" size="100%">Toro, Miguel</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Comparing a Voting-Based Policy with Winner-Takes-All to Perform Action Selection in Motivational Agents</style></title><secondary-title><style face="normal" font="default" size="100%">Advances in Artificial Intelligence – IBERAMIA 2002; Proc. 8th Ibero-American Conference on AI</style></secondary-title><tertiary-title><style face="normal" font="default" size="100%">Lecture Notes in Computer Science</style></tertiary-title></titles><dates><year><style  face="normal" font="default" size="100%">2002</style></year></dates><publisher><style face="normal" font="default" size="100%">Springer</style></publisher><pub-location><style face="normal" font="default" size="100%">Seville, Spain</style></pub-location><volume><style face="normal" font="default" size="100%">2527</style></volume><pages><style face="normal" font="default" size="100%">855–864</style></pages><isbn><style face="normal" font="default" size="100%">978-3-540-00131-7</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">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 &quot;winner-takes-all&quot; (WTA) and &quot;voting-based&quot; (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.</style></abstract></record></records></xml>