Exploring the Effect of Robotic Embodiment and Empathetic Tone of LLMs on Empathy Elicitation

Fuente: arXiv
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Auteurs principaux: Darwesh, Liza, Singh, Jaspreet, Marian, Marin, Alexa, Eduard, Hindriks, Koen, Baraka, Kim
Format: Preprint
Publié: 2025
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author Darwesh, Liza
Singh, Jaspreet
Marian, Marin
Alexa, Eduard
Hindriks, Koen
Baraka, Kim
author_facet Darwesh, Liza
Singh, Jaspreet
Marian, Marin
Alexa, Eduard
Hindriks, Koen
Baraka, Kim
contents This study investigates the elicitation of empathy toward a third party through interaction with social agents. Participants engaged with either a physical robot or a voice-enabled chatbot, both driven by a large language model (LLM) programmed to exhibit either an empathetic tone or remain neutral. The interaction is focused on a fictional character, Katie Banks, who is in a challenging situation and in need of financial donations. The willingness to help Katie, measured by the number of hours participants were willing to volunteer, along with their perceptions of the agent, were assessed for 60 participants. Results indicate that neither robotic embodiment nor empathetic tone significantly influenced participants' willingness to volunteer. While the LLM effectively simulated human empathy, fostering genuine empathetic responses in participants proved challenging.
format Preprint
id arxiv_https___arxiv_org_abs_2503_20518
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Exploring the Effect of Robotic Embodiment and Empathetic Tone of LLMs on Empathy Elicitation
Darwesh, Liza
Singh, Jaspreet
Marian, Marin
Alexa, Eduard
Hindriks, Koen
Baraka, Kim
Human-Computer Interaction
Computation and Language
Robotics
I.2.9, I.2.7, H.5.2
This study investigates the elicitation of empathy toward a third party through interaction with social agents. Participants engaged with either a physical robot or a voice-enabled chatbot, both driven by a large language model (LLM) programmed to exhibit either an empathetic tone or remain neutral. The interaction is focused on a fictional character, Katie Banks, who is in a challenging situation and in need of financial donations. The willingness to help Katie, measured by the number of hours participants were willing to volunteer, along with their perceptions of the agent, were assessed for 60 participants. Results indicate that neither robotic embodiment nor empathetic tone significantly influenced participants' willingness to volunteer. While the LLM effectively simulated human empathy, fostering genuine empathetic responses in participants proved challenging.
title Exploring the Effect of Robotic Embodiment and Empathetic Tone of LLMs on Empathy Elicitation
topic Human-Computer Interaction
Computation and Language
Robotics
I.2.9, I.2.7, H.5.2
url https://arxiv.org/abs/2503.20518