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AI-Mediated Communication: Language Use and Interpersonal Effects in a Referential Communication Task

Authors:

Hannah Mieczkowski,

Jeffrey T. Hancock,

Jess HohensteinAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 5, Issue CSCW1

Article No.: 17, Pages 1 - 14

https://doi.org/10.1145/3449091

Published: 22 April 2021 Publication History

Abstract

AI-Mediated Communication (AI-MC) is interpersonal communication that involves an artificially intelligent system that can modify, augment, or even generate content to achieve communicative and relational goals. AI-MC is increasingly involved in human communication and has the potential to impact core aspects of human communication, such as language production, interpersonal perception and task performance. Through a between-subjects experimental design we examine how these processes are influenced when integrating AI-generated language in the form of suggested text responses (Google's smart replies) into a text-based referential communication task. Our study replicates and extends the impacts of a positivity bias in AI-generated language and introduces the adjacency pair framework into the study of AI-MC. We also find preliminary yet mixed evidence to suggest that AI-generated language has the potential to undermine some dimensions of interpersonal perception, such as social attraction. This study contributes important concepts for future work in AI-MC and offers findings with implications for the design of AI systems in human-to-human communication.

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Cited By

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Mobo FInam AJoseph SAhmad MChemingui H(2024)Beyond the ScreenHyperautomation in Business and Society10.4018/979-8-3693-3354-9.ch014(266-285)Online publication date: 28-Jun-2024
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Волкова АГрачев ИКостина ТЛарин СНоакк Н(2024)Experimental and model studies of the influence of AI on the evolution of collective consciousnessЦифровая экономика10.34706/DE-2024-03-05(38-44)Online publication date: 24-Sep-2024
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Index Terms

AI-Mediated Communication: Language Use and Interpersonal Effects in a Referential Communication Task
1. Human-centered computing
  1. Collaborative and social computing
    1. Empirical studies in collaborative and social computing

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cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 5, Issue CSCW1

CSCW

April 2021

5016 pages

EISSN:2573-0142

DOI:10.1145/3460939

Editor:
Jeff Nichols
Apple Inc., United States

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Copyright © 2021 ACM.

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Publication History

Published: 22 April 2021

Published in PACMHCI Volume 5, Issue CSCW1

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Mobo FInam AJoseph SAhmad MChemingui H(2024)Beyond the ScreenHyperautomation in Business and Society10.4018/979-8-3693-3354-9.ch014(266-285)Online publication date: 28-Jun-2024
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https://doi.org/10.34706/DE-2024-03-05
Coman ACardon P(2024)Perceptions of Professionalism and Authenticity in AI-Assisted WritingBusiness and Professional Communication Quarterly10.1177/23294906241233224Online publication date: 11-Mar-2024
https://doi.org/10.1177/23294906241233224
Li QZeng ZLi TSun S(2024)Identifying artificial intelligence–generated content in online Q&A communities through interpretable machine learningJournal of Information Science10.1177/01655515241281491Online publication date: 29-Oct-2024
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