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

  • Buracchio Giorgia
  • , Callegari Ariele
  • , Donini Massimo
  • , Gena Cristina
  • , Lieto Antonio
  • , Lillo Alberto
  • , Mattutino Claudio
  • , Mazzei Alessandro
  • , Pigureddu Linda
  • , Manuel STRIANI
  • , Vernero Fabiana

Risultato della ricerca: Contributo su rivistaArticolo in rivistapeer review

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.
Lingua originaleInglese
pagine (da-a)1-13
Numero di pagine13
RivistaIEEE Transactions on Affective Computing
DOI
Stato di pubblicazionePubblicato - 2025

Keywords

  • Affective computing
  • Data mining
  • Emotion alignment
  • Emotion recognition
  • Empathy
  • HRI
  • Ontologies
  • Persuasion
  • Pipelines
  • Planning
  • Psychology
  • Robots
  • Social robots
  • Training

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