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      Developing Empathy for People with Bipolar Disorder Through Interactive Performance

      Published
      proceedings-article
      Proceedings of EVA London 2019 (EVA 2019)
      Electronic Visualisation and the Arts
      8 - 11 July 2019
      Interactive performance, Bipolar disorder, Expressive gesture, Kinesthetic empathy, Machine learning
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            Abstract

            Misplaced Euphoria is an interactive performance that consists of expressive movement, expressive gesture recognition, and interactive visualization that aims to develop empathy for people with bipolar disorder. This project explored the characteristics of those with bipolar disorder through the mediums of dance and interactive visualization driven by machine learning. To develop an interactive performance, we conducted an interview with a person to gather information and use the in- sights collected from the interview processes as a base for our creative process. We used a support vector machine (SVM) to recognise the dancers expression and gestures recognition results were visualised through the Rutt-Etra algorithm on a real-time basis.

            Content

            Author and article information

            Contributors
            Conference
            July 2019
            July 2019
            : 243-246
            Affiliations
            [0001]Illinois Informatics Institute

            University of Illinois at Urbana-Champaign

            1205 W. Clark NCSA Building, Urbana, IL, USA
            Article
            10.14236/ewic/EVA2019.46
            8e2b35ca-0c72-4501-a3a3-1757b37423d8
            © Lee. Published by BCS Learning and Development Ltd. Proceedings of EVA London 2019, UK

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            Proceedings of EVA London 2019
            EVA 2019
            London, UK
            8 - 11 July 2019
            Electronic Workshops in Computing (eWiC)
            Electronic Visualisation and the Arts
            History
            Product

            1477-9358 BCS Learning & Development

            Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/EVA2019.46
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

            Applied computer science,Computer science,Security & Cryptology,Graphics & Multimedia design,General computer science,Human-computer-interaction
            Machine learning,Expressive gesture,Interactive performance,Bipolar disorder,Kinesthetic empathy

            REFERENCES

            1. 2001 The neuropsychology and neuroanatomy of bipolar affective disorder: a critical review Bipolar Disorders 3 3): 106 150

            2. 2006 Neuroscience meets dance/movement therapy: Mirror neurons, the therapeutic process and empathy The Arts in Psychotherapy 33 4): 302 315

            3. 1992 Dance History and Feminist Theory: Re-considering Isadora Duncan and the male gaze Gender in performance: The presentation of difference in the performing arts 239 59

            4. ; ; ; and 2013 In Sickness and in Health: Implications for Employers when Bipolar Disorders are Protected Disabilities Employee Responsibilities and Rights Journal 25 4):277 292

            5. 1983 Notes toward a history of image-processed video: Eric Siegel, Stephen Beck, Dan Sandin, Steve Rutt, Bill and Louise Etra Afterimage 11 1)

            6. 2012 Body Memory, Metaphor and Movement John Benjamins Publishing

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