Towards interactional symbiosis: Epistemic balance and co-presence in a quantified self experiment

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Abstract

In the frame of an experiment dealing with quantified-self and reflexivity, we collected audio-video data that provide us with material to discuss the ways in which the participants would work out social synergy through co-presence management and epistemic balance – accounting for their orientation towards the familiar symbiotic nature of human interactions. Following a Conversational Analysis perspective, we believe that detailed analysis of interactional behaviors offers opportunities for socially interactive robots design improvements, that is: identify and reproduce human ordinary skills in order to make the machines more adaptable.

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Rollet, N., Jain, V., Licoppe, C., & Devillers, L. (2017). Towards interactional symbiosis: Epistemic balance and co-presence in a quantified self experiment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9961 LNCS, pp. 143–154). Springer Verlag. https://doi.org/10.1007/978-3-319-57753-1_13

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