Abstract
Facial expressions are connected to experiencing emotions according to Facial-Feedback Theory of Emotion developed by Charles Darwin and William James [17]. Knowing how to read and interpret facial expressions helps us understand how human beings connect with one another in mobile-mediated communication (MMC) and improve our own abilities at managing emotions. There have been multiple types of research conducted that study and compare factors that influence facial emotion recognition in humans [10]. As one of the most prominent channel in human interactions, facial expression is a good indicator of a person’s emotions. Recent technological advancements have had a drastic impact on human interaction. Besides face-to-face chat, video chatting become more and more popular in the digital age. This research provides to understand how video, voice and music influence emotion perception in the MMC context among different user groups. In this research, we evaluated challenges and effectiveness between two primary emotions: happiness and sadness in video chatting. This study analyzed the emotional influences of voice and music on video chatting and its effectiveness on sensing others emotional energy. Participants were from 18–42 years old and 98% of participants are in between 18–32 years old. A series of visual stimuli were created with four models were from Gen Z; Millennial; Gen X; and Baby Boomer. In addition, the research examines the comfort level with different relationships (e.g. friends; acquaintances; and strangers) in the video chatting environment.
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
Baumgardner, S.R., Crothers, M.K.: Positive Psychology. Pearson Education Inc., Upper Saddle River (2009)
Cacioppo, J.T., Hawkley, L.C., Thisted, R.A.: Perceived social isolation makes me sad: 5-year cross-lagged analyses of loneliness and depressive symptomatology in the Chicago health, aging, and social relations study. Psychol. Aging 25(2), 453–463 (2010)
Collin, Catherine: The Psychology Book: Big Ideas Simply Explained. DK Publishing, New York (2016)
Darwin, C., Prodger, P.: The Expression of the Emotions in Man and Animals. Oxford University Press, New York (1998)
Ekman, P., Davidson, R.J., Friesen, W.V.: The Duchenne smile: emotional expression and brain physiology: II. J. Pers. Soc. Psychol. 58(2), 342 (1990)
Gabrielsson, A.: Emotions in strong experiences with music. In: Juslin, P.N., Sloboda, J.A. (eds.) Music and Emotion: Theory and Research, pp. 431–449. Oxford University Press, New York (2001)
Hatfield, E., Cacioppo, J.T., Rapson, R.L.: Emotional contagion. Curr. Dir. Psychol. Sci. 2(3), 96–99 (1993)
Henry, J.D., Von Hippel, W., Molenberghs, P., Lee, T., Sachdev, P.S.: Clinical assessment of social cognitive function in neurological disorders. Nat. Rev. Neurol. 12(1), 28–39 (2016)
Hallock, J.: Colour assignment. (2003)
Fox, J.K.: Factors of Emotion Recognition in Faces: Three Perspectives (2004). http://www.jyi.org
Larsen, J.T., McGraw, A.P., Cacioppo, J.T.: Can people feel happy and sad at the same time? J. Pers. social Psychol. 81(4), 684–696 (2001)
Rainie, L., Zickuhr, K.: Video calling and video chat [Web blog post 2010]. http://www.pewinternet.org/2010/10/13/video-calling-and-video-chat/
Barrett, L.F.: How To Understand Emotions? [Web video 2017]. https://www.youtube.com/watch?v=GV7ui_KQXcE
Morland, R.L., Beach, S.R.: Exposure effects in the classroom: the development of affinity among students. J. Exper. Soc. Psychol. 28, 255–276 (1992)
Rattue, P.: (Tuesday 14 February 2012). Sad Music Can Bring On Real Sadness [Web blog post]. https://www.medicalnewstoday.com/articles/241653.php
Rozin, P., Berman, L., Royzman, E.: Biases in use of positive and negative words across twenty natural languages. Cognit. Emot. 24(3), 536–538 (2010)
Soussignan, R.: A test of the facial feedback hypothesis. American Psychological Association (2002)
Russell, J.A., Carroll, J.M.: On the bipolarity of positive and negative affect. Psychol. Bull. 125(1), 3–30 (1999)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Appendices
Appendix A: Survey Visual Stimuli
Appendix B: Vocal Stimuli
Happiness (Positive) | Sadness (Negative) |
|---|---|
I am so excited | You hurt my feeling |
Appendix C: Musical Stimuli
Happiness (Positive) | Sadness (Negative) |
|---|---|
The lonely man from the incredible hulk | Merrie melodies & looney tunes |
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Li, Q., Kim, Y.A. (2019). Analysis of Facial Emotion Recognition Technology and Its Effectiveness in Human Interaction. In: Chung, W., Shin, C. (eds) Advances in Interdisciplinary Practice in Industrial Design. AHFE 2018. Advances in Intelligent Systems and Computing, vol 790. Springer, Cham. https://doi.org/10.1007/978-3-319-94601-6_23
Download citation
DOI: https://doi.org/10.1007/978-3-319-94601-6_23
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-94600-9
Online ISBN: 978-3-319-94601-6
eBook Packages: EngineeringEngineering (R0)