Neo-Noumena: Augmenting Emotion Communication

要旨

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.

キーワード
Emotion Communication
Mixed Reality
Brain-Computer Interfacing
Emotion Recognition
EEG
Machine Learning
著者
Nathan Semertzidis
Monash University , Melbourne, VIC, Australia
Michaela Scary
Monash University , Melbourne, VIC, Australia
Josh Andres
Monash University, Melbourne, VIC, Australia
Brahmi Dwivedi
Monash University, Melbourne, VIC, Australia
Yutika Chandrashekhar Kulwe
Monash University, Melbourne, VIC, Australia
Fabio Zambetta
RMIT University, Melbourne, VIC, Australia
Florian Floyd Mueller
Monash University, Melbourne, VIC, Australia
DOI

10.1145/3313831.3376599

論文URL

https://doi.org/10.1145/3313831.3376599

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: Emotional interaction

Paper session
313C O'AHU
5 件の発表
2020-04-28 23:00:00
2020-04-29 00:15:00
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