Neo-Noumena: augmenting emotion communication

Nathan Semertzidis, Michaela Scary, Josh Andres, Brahmi Dwivedi, Yutika Chandrashekhar Kulwe, Fabio Zambetta, Florian "Floyd" Mueller

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

43 Citations (Scopus)

Abstract

The subjective experience of emotion is notoriously difficult to interpersonally communicate. We believe that technology can challenge this notion through the design of neuroresponsive systems for interpersonal communication. We explore this through "Neo-Noumena", a communicative neuroresponsive system that uses brain-computer interfacing and artificial intelligence to read one's emotional states and dynamically represent them to others in mixed reality through two head-mounted displays. In our study five participant pairs were given Neo-Noumena for three days, using the system freely. Measures of emotional competence demonstrated a statistically significant increase in participants' ability to interpersonally regulate emotions. Furthermore, participant interviews revealed themes regarding Spatiotemporal Actualization, Objective Representation, and Preternatural Transmission. We also suggest design strategies for future augmented emotion communication systems. We intend that work gives guidance towards a future in which our ability to interpersonally communicate emotion is augmented beyond traditional experience.

Original languageEnglish
Title of host publicationProceedings of the 2020 CHI Conference on Human Factors in Computing Systems
EditorsJoanna McGrenere, Andy Cockburn
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Number of pages13
ISBN (Electronic)9781450367080
DOIs
Publication statusPublished - 2020
EventInternational Conference on Human Factors in Computing Systems 2020 - Honolulu , United States of America
Duration: 25 Apr 202030 Apr 2020
Conference number: 38th
https://chi2020.acm.org (Website)
https://dl.acm.org/doi/proceedings/10.1145/3313831 (Proceedings)

Conference

ConferenceInternational Conference on Human Factors in Computing Systems 2020
Abbreviated titleCHI 2020
Country/TerritoryUnited States of America
CityHonolulu
Period25/04/2030/04/20
Internet address

Keywords

  • brain-computer interfacing
  • eeg
  • emotion communication
  • emotion recognition
  • machine learning
  • mixed reality
  • Neo-noumena

    Semertzidis, N., Scary, M., Andres, J., Kulwe, Y., Dwivedi, B., Zambetta, F. & Mueller, F., 2020, CHI'20 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems. McGrenere, J. & Cockburn, A. (eds.). New York NY USA: Association for Computing Machinery (ACM), 4 p. 3383163

    Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

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