Feedback of Physiological-Based Emotion before Publishing Emotional Expression on Social Media

Chen Feng, Peeraya Sripian, Midori Sugay

研究成果: Conference contribution

抜粋

Making emotional expressions on social media has recently become an ordinary part of life, but sometimes people might send messages with the wrong expression to other people through these media based on unconscious emotions such as anger. However, it is often difficult to recognize these unconscious emotions, and easy to send inappropriate expressions to other people without proper consideration. This could cause an unpleasant experience. To avoid these situations, it is expected that some observable mechanism could detect and communicate the unconscious emotions to the user before they send the message. These days, there are approaches that can detect unconscious emotions using physiological sensors such as EEGs and heartbeat sensors. These approaches provide the procedure to make unconscious emotions observable and communicated to the user in real-time. We apply this technology for detecting the mismatch between the unconscious emotion and expression before sending the message. Based on this idea, we design and implement the mechanism for detecting the mismatch and feed it back to the user of social media. We carry out an experiment using the proposed system. The preliminary result shows that the system tends to be effective for the purpose.

元の言語English
ホスト出版物のタイトル2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019
出版者Institute of Electrical and Electronics Engineers Inc.
ページ215-218
ページ数4
ISBN(電子版)9781728138916
DOI
出版物ステータスPublished - 2019 9
イベント8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019 - Cambridge, United Kingdom
継続期間: 2019 9 32019 9 6

出版物シリーズ

名前2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019

Conference

Conference8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019
United Kingdom
Cambridge
期間19/9/319/9/6

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Human-Computer Interaction
  • Social Psychology
  • Behavioral Neuroscience

フィンガープリント Feedback of Physiological-Based Emotion before Publishing Emotional Expression on Social Media' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

  • これを引用

    Feng, C., Sripian, P., & Sugay, M. (2019). Feedback of Physiological-Based Emotion before Publishing Emotional Expression on Social Media. : 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019 (pp. 215-218). [8925097] (2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACIIW.2019.8925097