Emergent Interaction: Complexity, Dynamics, and Enaction in HCI

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.

[1]  Niels van Berkel,et al.  Modeling interaction as a complex system , 2020, Hum. Comput. Interact..

[2]  F. Hasselman,et al.  Destabilization in self-ratings of the psychotherapeutic process is associated with better treatment outcome in patients with mood disorders , 2020, Psychotherapy research : journal of the Society for Psychotherapy Research.

[3]  Parisa Eslambolchilar,et al.  Tilt-Based Automatic Zooming and Scaling in Mobile Devices - A State-Space Implementation , 2004, Mobile HCI.

[4]  Paul Dourish,et al.  Where the action is , 2001 .

[5]  E. D. Paolo,et al.  Neither Individualistic nor Interactionist , 2018 .

[6]  Thomas A. Klein,et al.  DYNAMICS IN ACTION: INTENTIONAL BEHAVIOR AS A COMPLEX SYSTEM , 2003 .

[7]  Erik Rietveld,et al.  A Rich Landscape of Affordances , 2014 .

[8]  Chih-hao Hsieh,et al.  Empirical dynamic modeling for beginners , 2017, Ecological Research.

[9]  Yvonne Rogers,et al.  Interaction design gone wild: striving for wild theory , 2011, INTR.

[10]  A. Damasio,et al.  Deciding Advantageously Before Knowing the Advantageous Strategy , 1997, Science.

[11]  Parisa Eslambolchilar,et al.  Making Sense of Interaction Using a Model-Based Approach. , 2006 .

[12]  E. D. Paolo,et al.  The enactive approach: Theoretical sketches from cell to society , 2011 .

[13]  Erik Rietveld,et al.  Effects of Deep Brain Stimulation on the Lived Experience of Obsessive-Compulsive Disorder Patients: In-Depth Interviews with 18 Patients , 2015, PloS one.

[14]  Phillipp Kaestner,et al.  Understanding Computers And Cognition A New Foundation For Design , 2016 .

[15]  Paul Dourish,et al.  Where the action is , 2001 .

[16]  Wai-Tat Fu,et al.  Ignoring perfect knowledge in-the-world for imperfect knowledge in-the-head , 2001, CHI.

[17]  Tracy Brown,et al.  The Embodied Mind: Cognitive Science and Human Experience , 2002, Cybern. Hum. Knowing.

[18]  P. C. Malshe.  What is this interaction? , 1994, The Journal of the Association of Physicians of India.

[19]  Terry Winograd,et al.  Understanding computers and cognition - a new foundation for design , 1987 .

[20]  Erik Rietveld,et al.  Foregrounding Sociomaterial Practice in Our Understanding of Affordances: The Skilled Intentionality Framework , 2017, Front. Psychol..

[21]  F. Hasselman,et al.  A characteristic destabilization profile in parent-child interactions associated with treatment efficacy for aggressive children. , 2012, Nonlinear dynamics, psychology, and life sciences.

[22]  Parisa Eslambolchilar,et al.  A Human Operator Model for Medical Device Interaction Using Behavior-Based Hybrid Automata , 2016, IEEE Transactions on Human-Machine Systems.

[23]  Masitah Ghazali,et al.  The relationship of physicality and its underlying mapping , 2015 .

[24]  D. Sornette,et al.  Multifractal analysis of financial markets: a review. , 2018, Reports on progress in physics. Physical Society.

[25]  Daniel A. Keim,et al.  Mastering the Information Age - Solving Problems with Visual Analytics , 2010 .

[26]  Guy Van Orden,et al.  Voluntary performance. , 2010, Medicina.

[27]  Alexander I. Rudnicky,et al.  A performance model of system delay and user strategy selection , 1992, CHI.

[28]  Penelope Hawe,et al.  Lessons from complex interventions to improve health. , 2015, Annual review of public health.

[29]  William W. Gaver.  The affordances of media spaces for collaboration , 1992, CSCW '92.

[30]  John H. Miller,et al.  Complex adaptive systems - an introduction to computational models of social life , 2009, Princeton studies in complexity.

[31]  G. Simondon.  On the Mode of Existence of Technical Objects , 2017 .

[32]  A. Chemero.  Radical Embodied Cognitive Science , 2009 .

[33]  M. Harrison.  Pace and interaction , 2000 .

[34]  E. D. Paolo,et al.  The interactive brain hypothesis , 2012, Front. Hum. Neurosci..

[35]  William B. Rouse,et al.  Estimation and Control Theory: Application to Modeling Human Behavior , 1977 .

[36]  Lawrence M. Ward,et al.  Dynamical Cognitive Science , 2001 .

[37]  Anne Roudaut,et al.  Neurythmic: A Rhythm Creation Tool Based on Central Pattern Generators , 2018, NIME.

[38]  Tony Stockman,et al.  Exploring crossmodal perceptual enhancement and integration in a sequence-reproducing task with cognitive priming , 2020, Journal on Multimodal User Interfaces.

[39]  D. Reider,et al.  Leverage Points: Places to Intervene in a System , 2012 .