Emotion Alignment in Human-Robot Interaction: Effects on Communication Styles and Persuasion

This paper presents an experiment on the effects of inter-agents emotional alignment, a prerequisite for empathic communication, in Human-Robot Interaction (HRI). We describe a pipeline built around the Pepper robot with the idea of verifying the effect of emotionally-aligned communication toward a user. In particular, our goal is twofold, in that we investigate if and to what extent an emotionally-aligned, empathic dialogue impacts on (i) the communication style of the user, and (ii) the persuasive effectiveness of the robot, intended as its ability to alter or reinforce its interlocutors' attitudes and beliefs about the conversation topic. Both these aspects have been assessed in a controlled experiment with 46 participants, comparing a condition where the robot addresses participants with emotionally neutral sentences with a condition where the robot provides answers tailored to the emotions expressed in participants' input utterances. Results show how emotion alignment acts as an effective trigger for the elicitation of different communication styles of the users but also that, contrary to what we expected, it does not play any persuasive effect.

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Publication Details

Journal
IEEE Transactions on Affective Computing
Published
2025-01-01
DOI
https://doi.org/10.1109/taffc.2025.3596461
Citations
2
Primary Topic
Social Robot Interaction and HRI
Type
article
Field-Weighted Citation Impact
4.88
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article

Emotion Alignment in Human-Robot Interaction: Effects on Communication Styles and Persuasion

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2 citations
IEEE Transactions on Affective Computing
Social Robot Interaction and HRI
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article

Emotion Alignment in Human-Robot Interaction: Effects on Communication Styles and Persuasion

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article en
2 citations

Abstract

This paper presents an experiment on the effects of inter-agents emotional alignment, a prerequisite for empathic communication, in Human-Robot Interaction (HRI). We describe a pipeline built around the Pepper robot with the idea of verifying the effect of emotionally-aligned communication toward a user. In particular, our goal is twofold, in that we investigate if and to what extent an emotionally-aligned, empathic dialogue impacts on (i) the communication style of the user, and (ii) the persuasive effectiveness of the robot, intended as its ability to alter or reinforce its interlocutors' attitudes and beliefs about the conversation topic. Both these aspects have been assessed in a controlled experiment with 46 participants, comparing a condition where the robot addresses participants with emotionally neutral sentences with a condition where the robot provides answers tailored to the emotions expressed in participants' input utterances. Results show how emotion alignment acts as an effective trigger for the elicitation of different communication styles of the users but also that, contrary to what we expected, it does not play any persuasive effect.

IEEE Transactions on Affective Computing
Università degli Studi del Piemonte Orientale “Amedeo Avogadro” (IT), University of Salerno (IT), Piedmont University (US), University of Turin (IT)
Reduced inequalities
Openalex Percentile: Top 5%
Social Robot Interaction and HRI
4.88
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