Neo-noumena

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

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

1 Citation (Scopus)

Abstract

Communicating emotional experiences is something core to being human, yet also notoriously difficult. With this considered, we acknowledge previous work in bio-responsive and neurofeedback systems which facilitate the externalization of subjective experiences, which highlight potential for the appropriation of Neurofeedback for communication. We present a demonstration that explores this opportunity through "Neo-Noumena", a communicative neuro-responsive system that augments the interpersonal communication of emotion through brain-computer interfacing and artificial intelligence, which interprets the users affective state and dynamically to others in mixed reality through two head-mounted displays. The user will, with a partner, experience their affective state translated into an aural swarm of procedurally generated, emotionally informative fractals.

Original languageEnglish
Title of host publicationCHI'20 - Extended Abstracts 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 pages4
ISBN (Electronic)9781450368193
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

  • Affective computing
  • Brain-computer interfacing
  • EEG
  • Emotion communication
  • Machine learning
  • Mixed reality

Cite this