Preliminary Study on the Transition of Bio-emotion using Aroma Stimuli

Kansei engineering has a wide range of applications in design and industry. By considering factors related to Kansei and applying them to the product development and design process, user experience can be improved. To evaluate Kansei quantitatively, researchers used questionnaires such as self-asses...

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Bibliographic Details
Published in2022 10th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW) pp. 1 - 6
Main Authors Feng, Chen, Sripian, Peeraya, Laohakangvalvit, Tipporn, Tazawa, Toshiaki, Sakai, Saaya, Sugaya, Midori
Format Conference Proceeding
LanguageEnglish
Japanese
Published IEEE 18.10.2022
Subjects
Aroma
Biological system modeling
Brain modeling
EEG
Electroencephalography
Emotion transition
Estimation
HRV
Kansei evaluation
Physiology
Psychology
Visualization
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Summary:Kansei engineering has a wide range of applications in design and industry. By considering factors related to Kansei and applying them to the product development and design process, user experience can be improved. To evaluate Kansei quantitatively, researchers used questionnaires such as self-assessment manikin (SAM) in the past years. Recently, researchers have measured physiological signals associated with a person's emotional state, such as electroencephalography (EEG) and heart rate variability (HRV), to evaluate Kansei more objectively. Furthermore, previous studies have proposed a method to estimate emotions using EEG and HRV. They combined these two signals to estimate emotions based on a psychological model, Russell's circumplex model. In order to distinguish inferred emotions based on physiological signals from cognitive emotions, they named their method the bio-emotion estimation method. However, the accuracy of bio-emotion estimation method has not been fully validated. Meanwhile, the traditional SAM questionnaire can obtain users' cognitive emotions with arousal and valence value. The arousal and valence also correspond to the two factors of the bio-emotion estimation method. Therefore, we conducted a SAM questionnaire to verify the accuracy of the bio-emotion estimation method. The results showed that the measured EEG indexes were highly consistent with human arousal perception. Then, we applied the bio-emotion estimation method to present the emotional transitions induced by the stimuli.
DOI:10.1109/ACIIW57231.2022.10086000