The Cyborg's Dilemma: Embodiment in Virtual Environments
CT '97 Proceedings of the 2nd International Conference on Cognitive Technology (CT '97)
Where to look: a study of human-robot engagement
Proceedings of the 9th international conference on Intelligent user interfaces
Using the fun toolkit and other survey methods to gather opinions in child computer interaction
Proceedings of the 2006 conference on Interaction design and children
Proceedings of the international conference on Multimedia
"Why can't we be friends? " an empathic game companion for long-term interaction
IVA'10 Proceedings of the 10th international conference on Intelligent virtual agents
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
Multimodal approach to affective human-robot interaction design with children
ACM Transactions on Interactive Intelligent Systems (TiiS)
Long-term socially perceptive and interactive robot companions: challenges and future perspectives
ICMI '11 Proceedings of the 13th international conference on multimodal interfaces
An imaginary friend that connects with the user's emotions
Proceedings of the 8th International Conference on Advances in Computer Entertainment Technology
Modelling empathy in social robotic companions
UMAP'11 Proceedings of the 19th international conference on Advances in User Modeling
Rachel: Design of an emotionally targeted interactive agent for children with autism
ICME '11 Proceedings of the 2011 IEEE International Conference on Multimedia and Expo
Affective State Estimation for Human–Robot Interaction
IEEE Transactions on Robotics
Long-term interactions with empathic robots: evaluating perceived support in children
ICSR'12 Proceedings of the 4th international conference on Social Robotics
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Recent advances in biosensor technology enabled the appearance of commercial wireless sensors that can measure electrodermal activity (EDA) in user's everyday settings. In this paper, we investigate the potential benefits of measuring EDA to better understand children-robot interaction in two distinct directions: to characterize and evaluate the interaction, and to dynamically recognize user's affective states. To do so, we present a study in which 38 children interacted with an iCat robot while wearing a wireless sensor that measured their electrodermal activity. We found that different patterns of electrodermal variation emerge for different supportive behaviours elicited by the robot and for different affective states of the children. The results also yield significant correlations between statistical features extracted from the signal and surveyed parameters regarding how children perceived the interaction and their affective state.