Print Email Facebook Twitter Fostering relatedness between children and virtual agents through reciprocal self-disclosure Title Fostering relatedness between children and virtual agents through reciprocal self-disclosure Author Burger, F. Broekens, J. Neerincx, M.A. Contributor Bredeweg, B. (editor) Bosse, T. (editor) Publication year 2017 Abstract A key challenge in developing companion agents for children is keeping them interested after novelty effects wear off. Self Determination Theory posits that motivation is sustained if the human feels related to another human. According to Social Penetration Theory, relatedness can be established through the reciprocal disclosure of information about the self. Inspired by these social psychology theories, we developed a disclosure dialog module to study the self-disclosing behavior of children in response to that of a virtual agent. The module was integrated into a mobile application with avatar presence for diabetic children and subsequently used by 11 children in an exploratory field study over the course of approximately two weeks at home. The number of disclosures that children made to the avatar during the study indicated the relatedness they felt towards the agent at the end of the study. While all children showed a decline in their usage over time, more related children used the application more, and more consistently than less related children. Avatar disclosures of lower intimacy were reciprocated more than avatar disclosures of higher intimacy. Girls reciprocated disclosures more frequently. No relationship was found between the intimacy level of agent disclosures and child disclosures. Particularly the last finding contradicts prior child-peer interaction research and should therefore be further examined in confirmatory research. Subject Human & Operational ModellingPCS - Perceptual and Cognitive SystemsELSS - Earth, Life and Social SciencesComputer scienceComputersField studiesMobile applicationsNovelty effectsPeer interactionsPenetration theorySelf-determination theoriesSelf-disclosureSocial psychologyArtificial intelligence To reference this document use: http://resolver.tudelft.nl/uuid:180a0f4f-1839-47ee-ad7a-5000d5102aac DOI https://doi.org/10.1007/978-3-319-67468-1_10 TNO identifier 781355 Publisher Springer Verlag ISBN 9783319674674 ISSN 1865-0929 Source 28th Benelux Conference on Artificial Intelligence, BNAIC 2016. 10 November 2016 through 11 November 2016, 765, 137-154 Series Communications in Computer and Information Science Document type conference paper Files To receive the publication files, please send an e-mail request to TNO Library.