TY - GEN
T1 - Emergent Interaction
T2 - 2021 CHI Conference on Human Factors in Computing Systems: Making Waves, Combining Strengths, CHI EA 2021
AU - Bennett, Dan
AU - Dix, Alan
AU - Eslambolchilar, Parisa
AU - Feng, Feng
AU - Froese, Tom
AU - Kostakos, Vassilis
AU - Lerique, Sebastien
AU - Van Berkel, Niels
N1 - Publisher Copyright:
© 2021 Owner/Author.
PY - 2021/5/8
Y1 - 2021/5/8
N2 - 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.
AB - 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.
KW - Human Computer Interaction
KW - causality
KW - cognitive science
KW - complexity
KW - computational interaction
KW - control theory
KW - embodiment
KW - enactivism
KW - ubicomp
UR - http://www.scopus.com/inward/record.url?scp=85105810332&partnerID=8YFLogxK
U2 - 10.1145/3411763.3441321
DO - 10.1145/3411763.3441321
M3 - Conference contribution
AN - SCOPUS:85105810332
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, CHI EA 2021
PB - Association for Computing Machinery
Y2 - 8 May 2021 through 13 May 2021
ER -