A Motivational Account of Convergence in Emotion Expressions Within Groups: The Emotional Conformity Framework

Abstract

Although convergence in emotion expressions within small groups is well documented, the motives that explain why members converge are rarely explicated. We approach expressive convergence from a conformity perspective and introduce the Emotional Conformity Framework, in which we posit that members match their groupmates’ emotion expressions because they are motivated to gain an accurate understanding of reality (informational conformity motive) or to form and maintain social relationships (normative conformity motive). These motives determine members’ standards for correctness, social responses, and plausible convergence mechanisms, while members’ personalities and situational properties shape the relative strength of the two motives. By explicating these motivational underpinnings, the Framework improves our capacity to understand, predict, and regulate expressive convergence and emphasizes its functionality.