An Interactional Account of Empathy in Human-Machine Communication

Efforts to develop empathetic agents, or systems capable of responding appropriately to emotional content, have increased as the deployment of such systems in socially complex scenarios becomes more commonplace. In the context of human-machine communication (HMC), the ability to create the perceptio...

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Main Authors: Shauna Concannon, Ian Roberts, Marcus Tomalin
Format: Article
Language:English
Published: Communication and Social Robotics Labs 2023-07-01
Series:Human-Machine Communication Journal
Subjects:
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author Shauna Concannon
Ian Roberts
Marcus Tomalin
author_facet Shauna Concannon
Ian Roberts
Marcus Tomalin
author_sort Shauna Concannon
collection DOAJ
description Efforts to develop empathetic agents, or systems capable of responding appropriately to emotional content, have increased as the deployment of such systems in socially complex scenarios becomes more commonplace. In the context of human-machine communication (HMC), the ability to create the perception of empathy is achieved in large part through linguistic behavior. However, studies of how language is used to display and respond to emotion in ways deemed empathetic are limited. This article aims to address this gap, demonstrating how an interactional linguistics informed methodological approach can be applied to the study of empathy in HMC. We present an analysis of empathetic response strategies in HMC and examine how these diverge from the practices employed in human-human dialogue. The specific challenges encountered by current systems are reviewed and their implications for future work on HMC considered.
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spelling doaj.art-6cbc4d32796f4ecf96af5dfec12961872023-07-16T21:01:37ZengCommunication and Social Robotics LabsHuman-Machine Communication Journal2638-602X2638-60382023-07-0168711610.30658/hmc.6.6An Interactional Account of Empathy in Human-Machine CommunicationShauna Concannon0https://orcid.org/0000-0002-5904-0045Ian Roberts1https://orcid.org/0000-0001-7974-2506Marcus Tomalin2https://orcid.org/0000-0001-6723-6075University of CambridgeUniversity of CambridgeUniversity of CambridgeEfforts to develop empathetic agents, or systems capable of responding appropriately to emotional content, have increased as the deployment of such systems in socially complex scenarios becomes more commonplace. In the context of human-machine communication (HMC), the ability to create the perception of empathy is achieved in large part through linguistic behavior. However, studies of how language is used to display and respond to emotion in ways deemed empathetic are limited. This article aims to address this gap, demonstrating how an interactional linguistics informed methodological approach can be applied to the study of empathy in HMC. We present an analysis of empathetic response strategies in HMC and examine how these diverge from the practices employed in human-human dialogue. The specific challenges encountered by current systems are reviewed and their implications for future work on HMC considered.conversational agentsemotionempathyhuman-machine communicationinteractional analysis
spellingShingle Shauna Concannon
Ian Roberts
Marcus Tomalin
An Interactional Account of Empathy in Human-Machine Communication
Human-Machine Communication Journal
conversational agents
emotion
empathy
human-machine communication
interactional analysis
title An Interactional Account of Empathy in Human-Machine Communication
title_full An Interactional Account of Empathy in Human-Machine Communication
title_fullStr An Interactional Account of Empathy in Human-Machine Communication
title_full_unstemmed An Interactional Account of Empathy in Human-Machine Communication
title_short An Interactional Account of Empathy in Human-Machine Communication
title_sort interactional account of empathy in human machine communication
topic conversational agents
emotion
empathy
human-machine communication
interactional analysis
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