<?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%">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>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Imran Khan</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></contributors><titles><title><style face="normal" font="default" size="100%">The Effects of Affective Social Bonds on the Interactions and Survival of Simulated Agents</style></title><secondary-title><style face="normal" font="default" size="100%">ACII2019 Workshop on Social Emotions, Theories and Models (SE-THEMO)</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%">09/2019</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://ieeexplore.ieee.org/abstract/document/8925031</style></url></web-urls></urls><pub-location><style face="normal" font="default" size="100%">Cambridge, UK</style></pub-location><pages><style face="normal" font="default" size="100%">374–380</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The formation and maintenance of affective social bonds plays a key role in the well-being of social agents. Oxytocin has been correlated with social partner preference, and it is hypothesised to influence prosocial behaviours. In this paper, we investigate the effects of modulating the preference of affective social bond partners through oxytocin during decisions related to food-sharing and grooming, in a society of simulated agents with different dominance ranks. Our results show survival benefits for agents with affective social bonds across a number of groups with different bond combinations. We observe a number of emergent social behaviours and suggest that our results bear some similarity with behaviors observed in biological agents.</style></abstract><notes><style face="normal" font="default" size="100%">&lt;a href=&quot;https://ieeexplore.ieee.org/abstract/document/8925031&quot;&gt;Download&lt;/a&gt; (or &lt;a href=&quot;http://www.emotion-modeling.info/sites/default/files/Khan_et_al_Affective_Social_Bonds_ACII2019_AcceptedVersion.pdf&quot;&gt;Download accepted version&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%">Lewis, Matthew</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%">Lola Cañamero</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Tapus, Adriana</style></author><author><style face="normal" font="default" size="100%">André, Elisabeth</style></author><author><style face="normal" font="default" size="100%">Martin, Jean-Claude</style></author><author><style face="normal" font="default" size="100%">Ferland, François</style></author><author><style face="normal" font="default" size="100%">Ammi, Mehdi</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">An Embodied AI Approach to Individual Differences: Supporting Self-Efficacy in Diabetic Children with an Autonomous Robot</style></title><secondary-title><style face="normal" font="default" size="100%">Proc. 7th International Conference on Social Robotics (ICSR-2015)</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%">2015</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://link.springer.com/chapter/10.1007%2F978-3-319-25554-5_40</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Springer International Publishing</style></publisher><pub-location><style face="normal" font="default" size="100%">Paris</style></pub-location><pages><style face="normal" font="default" size="100%">401–410</style></pages><isbn><style face="normal" font="default" size="100%">978-3-319-25553-8</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 discuss how a motivationally autonomous robot, designed using the principles of embodied AI, provides a suitable approach to address individual differences of children interacting with a robot, without having to explicitly modify the system. We do this in the context of two pilot studies using Robin, a robot to support self-confidence in diabetic children.</style></abstract><notes><style face="normal" font="default" size="100%">&lt;a href=&quot;https://link.springer.com/chapter/10.1007%2F978-3-319-25554-5_40&quot;&gt;Download&lt;/a&gt; (or &lt;a href=&quot;http://www.emotion-modeling.info/sites/default/files/2015_Lewis_Canamero_ICSR.pdf&quot;&gt;Download authors' draft&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%">Lones, John</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></authors></contributors><titles><title><style face="normal" font="default" size="100%">Epigenetic Adaptation in Action Selection Environments with Temporal Dynamics</style></title><secondary-title><style face="normal" font="default" size="100%">Advances in Artificial Life, ECAL 2013</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2013</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.mitpressjournals.org/doi/abs/10.1162/978-0-262-31709-2-ch073</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">MIT Press</style></publisher><pages><style face="normal" font="default" size="100%">505–512</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">To operate in dynamic environments robots must be able to adapt their behaviour to meet the challenges that these pose while being constrained by their physical and computational limitation. In this paper we continue our study into using biologically inspired epigenetic adaptation through hormone modulation as a way to accommodate the needed flexibility in robots’ behaviour, focusing on problems of temporal dynamics. We have specifically framed our study in three variants of dynamic three-resource action selection environment. The challenges posed by these environments include: moving resources, temporal and increasing unavailability of resources, and cyclic changes in type and availability of resources related to cyclic environmental changes.</style></abstract><notes><style face="normal" font="default" size="100%">&lt;a href=&quot;https://www.mitpressjournals.org/doi/abs/10.1162/978-0-262-31709-2-ch073&quot;&gt;Download&lt;/a&gt; (Open Access)</style></notes></record></records></xml>