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Emergent interaction: complexity, dynamics, and enaction in HCI

Bennett, Dan, Dix, Alan, Eslambolchilar, Parisa ORCID: https://orcid.org/0000-0003-4610-1643, Feng, Feng, Froese, Tom, Kostakos, Vassilis, Lerique, Sebastien and van Berkel, Niels 2021. Emergent interaction: complexity, dynamics, and enaction in HCI. Presented at: CHI Conference on Human Factors in Computing Systems (CHI 2021), Virtual, 8-13 May 2021. CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems. ACM, p. 119. 10.1145/3411763.3441321

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Abstract

We propose a workshop on methods and theories for dealing with complex dynamical systems, and their application in HCI. Such methods are increasingly relevant across a wide range of disciplines which focus on human behaviour, applied to understand the role of context and interactions in the behaviour of individuals and groups, and how they unfold over time. Traditional approaches to quantifying and modelling behaviour in HCI have tended to focus primarily on individuals and components. Complexity methods shift the focus onto interactions between components, and the emergence of behaviour from complex networks of interactions, as for example in Enactivist approaches to cognitive science. While we believe that complexity methods can be highly informative to HCI researchers, uptake in the community remains low due to widespread unfamiliarity. This one-day workshop will introduce, support, and encourage the development and adoption of complexity methods within HCI. Reflecting the multidisciplinary mix within complexity science, we will draw on examples of complexity-oriented theories and methods from a range of disciplines, including Control-Theory, Social Science, and Cognitive Science. Attendees will engage in group discussions and a Q&A with a panel, and a discussion group will be set up ahead of time to encourage exploratory conversations. In this way, diverse backgrounds can be brought together, matched, and inform one another.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Publisher: ACM
ISBN: 9781450380959
Date of First Compliant Deposit: 27 July 2021
Date of Acceptance: 4 April 2021
Last Modified: 09 Nov 2022 11:22
URI: https://orca.cardiff.ac.uk/id/eprint/142937

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