An Enactive Perspective on Emotion: A Case Study on Monitoring Brainwaves

In the growing field of ubiquitous computing research, there has been an understandable need to revisit the concept of a standard interface with goal-targeted conscious interaction. An enactive system, which draws on a phenomenological perspective, has as a core concept the dynamically coupling of mind and technology, where the interaction design is not goal-oriented, but driven by non-conscious control of the system. In this paper, we investigate the possibilities of the sensor measurements of an EEG device to in fact potentially contribute to the design of an enactive system. We then take the results of such exploration and look at them through the lens of the enactive approach to cognition and its perspective of emotion and cognition as intertwined. This perspective leads our discussion on how to bring the design of enactive systems closer to supporting, through interaction, the social and cultural construction of emotion.

[1]  J. Russell.  A circumplex model of affect. , 1980 .

[2]  E. Thompson,et al.  Making Sense of Sense-Making: Reflections on Enactive and Extended Mind Theories , 2009 .

[3]  Eric Rosenbaum,et al.  Scratch: programming for all , 2009, Commun. ACM.

[4]  Paul McCullagh,et al.  The Brain Computer Interface: Barriers to Becoming Pervasive , 2014 .

[5]  Harry Hochheiser,et al.  Research Methods for Human-Computer Interaction , 2008 .

[6]  E. Rosch,et al.  The Embodied Mind: Cognitive Science and Human Experience , 1993 .

[7]  Anderson Schuh,et al.  Design of a Decision-Making Task for a Collaborative Brain-Computer Interface System Based on Emotiv EEG , 2017, HCI.

[8]  Rytis Maskeliunas,et al.  Distributed under Creative Commons Cc-by 4.0 Consumer-grade Eeg Devices: Are They Usable for Control Tasks? , 2022 .

[9]  Constantine Stephanidis,et al.  Universal access to ambient intelligence environments: Opportunities and challenges for people with disabilities , 2005, IBM Syst. J..

[10]  Mark Weiser.  The computer for the 21st century , 1991 .

[11]  Raffaella Folgieri,et al.  EEG-Based Brain-Computer Interface for Emotional Involvement in Games Through Music , 2014, Digital Da Vinci.

[12]  Hiroshi Ishii,et al.  Tangible bits: towards seamless interfaces between people, bits and atoms , 1997, CHI.

[13]  Raffaella Folgieri,et al.  Brain, Technology and Creativity. BrainArt: A BCI-Based Entertainment Tool to Enact Creativity and Create Drawing from Cerebral Rhythms , 2014 .

[14]  Krista Francis,et al.  Enactivism, Spatial Reasoning and Coding , 2016 .

[15]  Chen Wang,et al.  An Invisible Gorilla: Is It a Matter of Focus of Attention? , 2013, PCM.

[16]  Caroline Hummels,et al.  Beyond distributed representation: embodied cognition design supporting socio-sensorimotor couplings , 2014, TEI '14.

[17]  Shaun Gallagher,et al.  Enactive Metaphors: Learning Through Full-Body Engagement , 2015 .

[18]  Konstantinos Georgiadis,et al.  EEG Assessment of Surprise Effects in Serious Games , 2015, GALA.

[19]  Duo Chen,et al.  Relationship Between Video Game Events and Player Emotion Based on EEG , 2016, HCI.

[20]  B. Sparrow,et al.  Google Effects on Memory: Cognitive Consequences of Having Information at Our Fingertips , 2011, Science.

[21]  Phoebe Sengers,et al.  The disenchantment of affect , 2008, Personal and Ubiquitous Computing.

[22]  J. Bruner.  Toward a Theory of Instruction , 1966 .

[23]  Tapio Takala,et al.  Enactive Systems and Enactive Media: Embodied Human-Machine Coupling beyond Interfaces , 2011, Leonardo.

[24]  Francisco J. Varela,et al.  The Embodied Mind , 2018 .

[25]  Tom Garner.  Identifying habitual statistical features of EEG in response to fear-related stimuli in an audio-only computer video game , 2013, AM '13.

[26]  Paul Dourish,et al.  How emotion is made and measured , 2007, Int. J. Hum. Comput. Stud..