Abstract
We experimented with examining how Visual Art affects people’s emotional responses to images. Participants viewed 27 images from our art image database, which were either static or dynamic. We aimed to gather subjective data through self-reports and physiological measures like skin conductance and heart rate to assess emotional responses. The results showed that dynamic pictures significantly increased arousal, incredibly when the image was already arousing. Both self-report measures and skin conductance data supported these findings. Additionally, dynamic picture motion elicited more heart-rate deceleration, indicating greater attention toward highly arousing images. However, the influence of dynamic pictures on affective valence was only evident in self-report measures. Images with motion were rated as more positive if they were positive, to begin with, and more damaging if they were negative. These findings have important implications for understanding the impact of dynamic pictures on emotional responses and can be applied to fields such as psychology, marketing, and media studies. Further research is needed to delve deeper into the underlying mechanisms of these effects.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Cohen, J.L., Johnson, J.L. (eds.): Video and Filmmaking as Psychotherapy: Research and Practice. Routledge, New York (2015)
Day, T.N., Mazefsky, C.A., Wetherby, A.M.: Characterizing difficulties with emotion regulation in toddlers with autism spectrum disorder. Res. Autism Spectrum Disord. 96, 101992 (2022). https://doi.org/10.1016/j.rasd.2022.101992
Edmonds, E.: The art of interaction. Digit. Creativity 21, 257–264 (2010). https://doi.org/10.1080/14626268.2010.556347
Ettehadi, O., Jones, L., Hartman, K.: Heart waves: a heart rate feedback system using water sounds. In: Proceedings of the Fourteenth International Conference on Tangible, Embedded, and Embodied Interaction, pp. 527–532. ACM, Sydney, NSW, Australia (2020). https://doi.org/10.1145/3374920.3374982
Giannakakis, G., Grigoriadis, D., Giannakaki, K., Simantiraki, O., Roniotis, A., Tsiknakis, M.: Review on psychological stress detection using biosignals. IEEE Trans. Affective Comput. 13, 440–460 (2022). https://doi.org/10.1109/TAFFC.2019.2927337
Jo, H., Rodiek, S., Fujii, E., Miyazaki, Y., Park, B.-J., Ann, S.-W.: Physiological and psychological response to floral scent. horts 48, 82–88 (2013). https://doi.org/10.21273/HORTSCI.48.1.82
(Poonkhin) Khut, G.: Designing biofeedback artworks for relaxation. In: Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, pp. 3859–3862. ACM, San Jose, California, USA (2016). https://doi.org/10.1145/2851581.2891089
Leong, T.W., Gaye, L., Tanaka, A., Taylor, R., Wright, P.C.: The user in flux: bringing HCI and digital arts together to interrogate shifting roles in interactive media. In: CHI 2011 Extended Abstracts on Human Factors in Computing Systems, pp. 45–48. ACM, Vancouver, BC, Canada (2011). https://doi.org/10.1145/1979742.1979571
Rathod, P., George, K., Shinde, N.: Bio-signal based emotion detection device. In: 2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN), pp. 105–108. IEEE, San Francisco, CA, USA (2016). https://doi.org/10.1109/bsn.2016.7516241
Silvia, P.J.: Emotional responses to art: from collation and arousal to cognition and emotion. Rev. Gen. Psychol. 9, 342–357 (2005). https://doi.org/10.1037/1089-2680.9.4.342
Wang, Q., Liu, Z., Hu, J.: Effects of color tone of dynamic digital art on emotion arousal. In: Göbl, B., van der Spek, E., Baalsrud Hauge, J., McCall, R. (eds.) Entertainment Computing – ICEC 2022, pp. 363–371. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-20212-4_30
Wang, R., Hu, J.: Design for connecting people through digital artworks with personal information. In: Göbl, B., van der Spek, E., Baalsrud Hauge, J., and McCall, R. (eds.) Entertainment Computing – ICEC 2022, pp. 386–397. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-20212-4_32
West, V.L., Borland, D., Hammond, W.E.: Innovative information visualization of electronic health record data: a systematic review. J. Am. Med. Inform. Assoc. 22, 330–339 (2015). https://doi.org/10.1136/amiajnl-2014-002955
Wijasena, H.Z., Ferdiana, R., Wibirama, S.: A survey of emotion recognition using physiological signal in wearable devices. In: 2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS), pp. 1–6. IEEE, Bandung, Indonesia (2021). https://doi.org/10.1109/AIMS52415.2021.9466092
Wu, D.T.Y., et al.: Evaluating visual analytics for health informatics applications: a systematic review from the American Medical Informatics Association Visual Analytics Working Group Task Force on Evaluation. J. Am. Med. Inform. Assoc. 26, 314–323 (2019). https://doi.org/10.1093/jamia/ocy190
Yao, C., Li, B., Ying, F., Zhang, T., Zhao, Y.: VisHair: a wearable fashion hair lighting interaction system. In: Streitz, N., Konomi, S. (eds.) Distributed, Ambient and Pervasive Interactions: Understanding Humans, pp. 146–155. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-91125-0_12
Yu, B., Funk, M., Hu, J., Wang, Q., Feijs, L.: Biofeedback for everyday stress management: a systematic review. Front. ICT. 5, 23 (2018). https://doi.org/10.3389/fict.2018.00023
Yu, B., Arents, R., Hu, J., Funk, M., Feijs, L.: Heart calligraphy: an abstract portrait inside the body. In: Proceedings of the TEI 2016: Tenth International Conference on Tangible, Embedded, and Embodied Interaction, pp. 675–680. ACM, Eindhoven, Netherlands (2016). https://doi.org/10.1145/2839462.2856341
Yu, B., Funk, M., Hu, J., Feijs, L.: StressTree: a metaphorical visualization for biofeedback-assisted stress management. In: Proceedings of the 2017 Conference on Designing Interactive Systems, pp. 333–337. ACM, Edinburgh, United Kingdom (2017). https://doi.org/10.1145/3064663.3064729
Acknowledgments
This research was supported by the Fundamental Research Funds for the Central Universities (Grant No. 226-2023-00086), Research Center of Computer Aided Product Innovation Design, Ministry of Education, National Natural Science Foundation of China (Grant No. 52075478), and National Social Science Foundation of China (Grant No. 21AZD056).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 IFIP International Federation for Information Processing
About this paper
Cite this paper
Liu, Z., Yao, C., Wang, Q., Ying, F. (2023). A Study on the Emotional Responses to Visual Art. In: Ciancarini, P., Di Iorio, A., Hlavacs, H., Poggi, F. (eds) Entertainment Computing – ICEC 2023. ICEC 2023. Lecture Notes in Computer Science, vol 14455. Springer, Singapore. https://doi.org/10.1007/978-981-99-8248-6_43
Download citation
DOI: https://doi.org/10.1007/978-981-99-8248-6_43
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-8247-9
Online ISBN: 978-981-99-8248-6
eBook Packages: Computer ScienceComputer Science (R0)