Influencing laughter with AI-mediated communication

Author:

Mills Gregory1,Gregoromichelaki Eleni2,Howes Chris2,Maraev Vladislav2

Affiliation:

1. University of Groningen

2. University of Gothenburg

Abstract

Abstract Previous experimental findings support the hypothesis that laughter and positive emotions are contagious in face-to-face and mediated communication. To test this hypothesis, we describe four experiments in which participants communicate via a chat tool that artificially adds or removes laughter (e.g. haha or lol), without participants being aware of the manipulation. We found no evidence to support the contagion hypothesis. However, artificially exposing participants to more lols decreased participants’ use of hahas but led to more involvement and improved task-performance. Similarly, artificially exposing participants to more hahas decreased use of haha but increased lexical alignment. We conclude that, even though the interventions have effects on coordination, they are incompatible with contagion as a primary explanatory mechanism. Instead, these results point to an interpretation that involves a more sophisticated view of dialogue mechanisms along the lines of Conversational Analysis and similar frameworks and we suggest directions for future research.

Publisher

John Benjamins Publishing Company

Subject

Human-Computer Interaction,Linguistics and Language,Animal Science and Zoology,Language and Linguistics,Communication

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