Abstract
In recent years, research has been conducted to evaluate human emotions. Emotions have been evaluated using various methods such as subjective evaluation and physiological indexes. However, the relationship between these evaluation methods has not been clarified. Previous research by Ueno et al. analyzed correlation between in-vehicle conditions and subjective evaluation using adjective pairs as well as physiological indexes using electroencephalograph (EEG) and heart rate variability (HRV). However, the relationship between the subjective evaluation and the physiological indexes itself has not been scrutinized yet. In addition, the physiological indexes were reported to have large individual difference. Therefore, this study take into account preferences to clarify the relationship between the subjective evaluation and the physiological indexes, focusing on music genres as emotional stimuli. As a result, preferences were strongly correlated with arousal level measured by EEG, suggesting that human preferences may influence human emotions.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Wada, K., Shibata, T., Musha, T., Kimura, S.: Effects of robot therapy for demented patients evaluated by EEG. In: Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1552–1557, Edmonton, Canada (2005)
Ueno, S., Zhang, R., Laohakangvalvit, T., Sugaya, M.: Evaluating comfort in fully autonomous vehicle using biological emotion map. In: Stanton, N. (ed.) AHFE 2021. LNNS, vol. 270, pp. 323–330. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-80012-3_38
Bradley, M.M., Lang, P.J.: Measuring emotion: the self-assessment manikin and the semantic differential. J. Behav. Ther. Exp. Psych. 25(1), 49–59 (1994)
Osgood, C.E.: Semantic differential technique in the comparative study of cultures. Am. Anthropol. 66(3), 171–200 (1964)
Ikeda, Y., Horie, R., Sugaya, M.: Estimate emotion with biological information for robot interaction. In: Proceedings of 21st International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES-2017), pp. 6–8, Marseille, France (2017)
Yang, H., Lee, C.: Annotation matters: a comprehensive study on recognizing intended, self-reported, and observed emotion labels using physiology. In: Proceedings of 8th International Conference on Affective Computing and Intelligent Interaction (ACII), pp. 1–7, Cambridge, UK (2019)
Russell, J.A.: A circumplex model of affect. J. Pers. Soc. Psychol. 39(6), 1161–1178 (1980)
Yoshinaga, N., Fujita, M., Tanaka, Y.L.: Fundamental research about individual variation in illuminance preference during hypnagogic stage and biological responsiveness: influence on physiological function and subjective evaluation. Japanese J. Nursing Art Sci. 10(2), 23–29 (2011). (In Japanese)
Doi, S., Kamesawa, K., Wada, T., Kobayashi, E., Karaki M., Mori, N.: Basic study on individual preference for scents and the arousal level for brain activity using MNIRS. In: Proceedings of IEEE/ICME International Conference on Complex Medical Engineering, pp. 119–124, Gold Coast, Australia (2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Oami, T., Nakagawa, Y., Jadram, N., Laohakangvalvit, T., Sripian, P., Sugaya, M. (2022). Analysis of Influence of Preference on Emotions in Relation to Physiological Indexes. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2022 Posters. HCII 2022. Communications in Computer and Information Science, vol 1581. Springer, Cham. https://doi.org/10.1007/978-3-031-06388-6_26
Download citation
DOI: https://doi.org/10.1007/978-3-031-06388-6_26
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-06387-9
Online ISBN: 978-3-031-06388-6
eBook Packages: Computer ScienceComputer Science (R0)