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Extended, Distributed, and Predictive: Sketches of a Generative Theory of Interaction for HCI

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HCI International 2022 – Late Breaking Posters (HCII 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1654))

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Abstract

This paper blends work in extended mind, distributed cognition, and predictive processing to provide a novel generative theory of interaction. This dovetailing offers an emerging picture of cognition that HCI stands to benefit from: our cognition is extended, distributed, and constantly trying to predict incoming sensory stimuli across social, cultural, and temporal scales. We develop a sketch of a generative theory of interaction for HCI and offer some directions for future work.

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Acknowledgements

This work is part of the DCODE project. The project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 955990.

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Correspondence to Jacob T. Browne .

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Browne, J.T., Garnham, I. (2022). Extended, Distributed, and Predictive: Sketches of a Generative Theory of Interaction for HCI. In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2022 – Late Breaking Posters. HCII 2022. Communications in Computer and Information Science, vol 1654. Springer, Cham. https://doi.org/10.1007/978-3-031-19679-9_3

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  • DOI: https://doi.org/10.1007/978-3-031-19679-9_3

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