Skip to content
Licensed Unlicensed Requires Authentication Published by Oldenbourg Wissenschaftsverlag January 14, 2020

OMG I’m Laughing so Hard – Alienation in Digital Communication and Potential Countermeasures

Cedric Quintes

Cedric Quintes studied Computer Science (B. Sc.) and Human-Computer-Interaction (M. Sc.). He is currently working as a researcher at the Institute of Psychology at the Ludwig-Maximilians-University in Munich, Germany in the area of human-robot-interaction.

and Daniel Ullrich

Daniel Ullrich is a post-doctoral researcher at the Institute of media informatics at the Ludwig-Maximilians-University in Munich, Germany. His research interests are in the area of human-robot-interaction, the design and evaluation of interactive systems, and the effects of digital media for society and well-being.

EMAIL logo
From the journal i-com

Abstract

Nowadays communication is largely dominated by digital text-based channels which naturally only transfer a small part of the information that is present in face-to-face conversations. In particular, information about the communication partner’s emotional state, which is naturally expressed through facial expressions, body language and other non-verbal indicators, can hardly be transferred. Approaches such as emojis address this issue by allowing the sender to show how he (for reasons of readability, the pronoun “he” addresses all genders equally) feels by selecting an appropriate (smiley) face. However, the crucial difference is that this smiley must be deliberately chosen and does not necessarily represent an authentic expression of the sender’s emotional state. The present paper discusses typical challenges and misunderstandings of communication in the digital era by the example of chat communication. It reflects its ramifications on the perceived authenticity of the transferred emotions and discusses possible (technology-based) approaches towards a more direct, authentic way of communication.

Award Identifier / Grant number: FKZ: 16SV8097

Funding statement: This research has been funded by the German Federal Ministry of Education and Research (BMBF), project GINA (FKZ: 16SV8097).

About the authors

Cedric Quintes

Cedric Quintes studied Computer Science (B. Sc.) and Human-Computer-Interaction (M. Sc.). He is currently working as a researcher at the Institute of Psychology at the Ludwig-Maximilians-University in Munich, Germany in the area of human-robot-interaction.

Daniel Ullrich

Daniel Ullrich is a post-doctoral researcher at the Institute of media informatics at the Ludwig-Maximilians-University in Munich, Germany. His research interests are in the area of human-robot-interaction, the design and evaluation of interactive systems, and the effects of digital media for society and well-being.

References

[1] Alford, H. (2012). Would it kill you to stop doing that?: a modern guide to manners. New York: Twelve.Search in Google Scholar

[2] Balconi, M., & Mazza, G. (2009). Consciousness and emotion: ERP modulation and attentive vs. pre-attentive elaboration of emotional facial expressions by backward masking. Motivation and Emotion, 33(2), 113–124. https://doi.org/10.1007/s11031-009-9122-8.10.1007/s11031-009-9122-8Search in Google Scholar

[3] Beaver, L. (2017). Here’s how millennials are impacting the future of communication. Retrieved from https://www.businessinsider.de/heres-how-millennials-are-impacting-the-future-of-communication-2017-1.Search in Google Scholar

[4] Berscheid, E. S. (2006). Review of Silent Messages: Implicit Communication of Emotions and Attitudes. 2nd ed. Contemporary Psychology: A Journal of Reviews, 26, 648. https://doi.org/10.1037/020475.10.1037/020475Search in Google Scholar

[5] Blabst, N., & Diefenbach, S. (2017, July 1). WhatsApp and Wellbeing: A study on WhatsApp usage, communication quality and stress. https://doi.org/10.14236/ewic/HCI2017.85.10.14236/ewic/HCI2017.85Search in Google Scholar

[6] Colbert, A., Yee, N., & George, G. (2016). The Digital Workforce and the Workplace of the Future. Academy of Management Journal, 59(3), 731–739. https://doi.org/10.5465/amj.2016.4003.10.5465/amj.2016.4003Search in Google Scholar

[7] Daft, R. L., & Lengel, R. H. (1984). Information richness: A new approach to managerial behavior and organizational design. Research in Organizational Behavior, 6, 191–233.10.21236/ADA128980Search in Google Scholar

[8] Dana, & Gavril. (2019). Upstanders and the emotional effect of the haunting blue ticks. 76–84.Search in Google Scholar

[9] Diefenbach, S., & Ullrich, D. (2019). Disrespectful Technologies: Social Norm Conflicts in Digital Worlds. https://doi.org/10.1007/978-3-319-94947-5_5.10.1007/978-3-319-94947-5_5Search in Google Scholar

[10] Dimberg, U., Thunberg, M., & Elmehed, K. (2000). Unconscious Facial Reactions to Emotional Facial Expressions. Psychological Science, 11(1), 86–89. https://doi.org/10.1111/1467-9280.00221.10.1111/1467-9280.00221Search in Google Scholar PubMed

[11] Joyce, G. (2019). The Most Popular Emojis. Retrieved August 5, 2019, from https://www.brandwatch.com/blog/the-most-popular-emojis/.Search in Google Scholar

[12] Martin, C. (2018). One In 10 Millennials Would Rather Lose A Finger Than Give Up Their Smartphone: Survey. Retrieved August 5, 2019, from https://www.mediapost.com/publications/article/322677/one-in-10-millennials-would-rather-lose-a-finger-t.html.Search in Google Scholar

[13] Mehrabian, A. (1981). Silent messages – implicit communication of emotions and attitudes (2nd ed.). Belmont, California.Search in Google Scholar

[14] O’Sullivan, B. (2000). What you don’t know won’t hurt me: impression management functions of communication channels in relationships. Human Communication Research, 26(3), 403–431. https://doi.org/10.1093/hcr/26.3.403.10.1111/j.1468-2958.2000.tb00763.xSearch in Google Scholar

[15] Quintes, C. (2019). Outsourcing Emotions – An Introduction of AI-Based Emojis to Mobile Chat Communication. Ludwig-Maximilians-Universität München (Master Thesis).Search in Google Scholar

[16] Regenbogen, C., & Habel, U. (2015). Facial Expressions in Empathy Research. In Understanding Facial Expressions in Communication (pp. 101–117). https://doi.org/10.1007/978-81-322-1934-7_6.10.1007/978-81-322-1934-7_6Search in Google Scholar

[17] Riordan, M. A., & Kreuz, R. J. (2010). Cues in computer-mediated communication: A corpus analysis. Computers in Human Behavior, 26(6), 1806–1817. https://doi.org/10.1016/j.chb.2010.07.008.10.1016/j.chb.2010.07.008Search in Google Scholar

[18] Trevino, L. K., Lengel, R. H., & Daft, R. L. (1987). Media Symbolism, Media Richness, and Media Choice in Organizations. Communication Research, 14(5), 553–574. https://doi.org/10.1177/009365087014005006.10.1177/009365087014005006Search in Google Scholar

[19] Turkle, S. (2017). Alone Together: Why We Expect More from Technology and Less from Each Other. Journal of the American Society for Information Science and Technology.Search in Google Scholar

[20] Yang, Y.-H., & Yeh, S.-L. (2018). Unconscious processing of facial expression as revealed by affective priming under continuous flash suppression. Psychonomic Bulletin & Review, 25(6), 2215–2223. https://doi.org/10.3758/s13423-018-1437-6.10.3758/s13423-018-1437-6Search in Google Scholar PubMed

Published Online: 2020-01-14
Published in Print: 2019-11-18

© 2019 Walter de Gruyter GmbH, Berlin/Boston

Downloaded on 29.1.2023 from https://www.degruyter.com/document/doi/10.1515/icom-2019-0016/html
Scroll Up Arrow