research-article

Users' perceptions of empathic dialogue cues: A data-driven approach to provide tailored empathy

Authors:

Deborah Richards,

Ayse Aysin Bilgin, and

Hedieh RanjbartabarAuthors Info & Claims

IVA '18: Proceedings of the 18th International Conference on Intelligent Virtual Agents

November 2018

Pages 35 - 42

https://doi.org/10.1145/3267851.3267857

Published: 05 November 2018 Publication History

Abstract

Understanding how and in what circumstances users respond to different verbal expressions of empathy will be important for designing Intelligent Virtual Agents able to influence the emotions and intrinsic motivations of users. We report a study to teach healthy study habits and tips involving 239 undergraduate students, 161 of which interacted with a character designed to express empathy through dialogue. We elicited participants' personality and psychological state (depression, anxiety and stress levels) and attitudes to study. In this paper we present a detailed analysis of participants' responses to specific empathic dialogue snippets designed to include one or more empathic cues to determine whether they found it helpful, stupid or empathic. We provide an example of how we have used data mining on our dataset to suggest which cues are most appropriate to which user types to enhance user models and improve agent decision-making regarding the expression of empathy.

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Cited By

Salman SRichards DDras M(2023)Identifying Which Relational Cues Users Find Helpful to Allow Tailoring of e-Coach DialoguesMultimodal Technologies and Interaction10.3390/mti71000937:10(93)Online publication date: 2-Oct-2023
https://doi.org/10.3390/mti7100093
Tsumura TYamada S(2023)Influence of agent’s self-disclosure on human empathyPLOS ONE10.1371/journal.pone.028395518:5(e0283955)Online publication date: 10-May-2023
https://doi.org/10.1371/journal.pone.0283955
Tsumura TYamada S(2023)Influence of Anthropomorphic Agent on Human Empathy Through GamesIEEE Access10.1109/ACCESS.2023.326930111(40412-40429)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3269301
Show More Cited By

Index Terms

Users' perceptions of empathic dialogue cues: A data-driven approach to provide tailored empathy
1. Computing methodologies
  1. Artificial intelligence
    1. Distributed artificial intelligence
      1. Intelligent agents

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Published In

cover image ACM Conferences

IVA '18: Proceedings of the 18th International Conference on Intelligent Virtual Agents

November 2018

381 pages

ISBN:9781450360135

DOI:10.1145/3267851

Conference Chairs:
Anton Bogdanovych
Western Sydney University
,
Deborah Richards
Macquarie University
,
Simeon Simoff
Western Sydney University
,
Program Chairs:
Catherine Pelachaud
CNRS - ISIR, Université Pierre et Marie Curie
,
Dirk Heylen
University of Twente
,
Tomas Trescak
Western Sydney University

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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SIGAI: ACM Special Interest Group on Artificial Intelligence

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 November 2018

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IVA '18

Sponsor:

SIGAI

IVA '18: International Conference on Intelligent Virtual Agents

November 5 - 8, 2018

NSW, Sydney, Australia

Acceptance Rates

IVA '18 Paper Acceptance Rate 17 of 82 submissions, 21%;

Overall Acceptance Rate 53 of 196 submissions, 27%

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IVA '24

Sponsor:
sigai

ACM International Conference on Intelligent Virtual Agents

September 16 - 19, 2024

GLASGOW , United Kingdom

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Cited By

Salman SRichards DDras M(2023)Identifying Which Relational Cues Users Find Helpful to Allow Tailoring of e-Coach DialoguesMultimodal Technologies and Interaction10.3390/mti71000937:10(93)Online publication date: 2-Oct-2023
https://doi.org/10.3390/mti7100093
Tsumura TYamada S(2023)Influence of agent’s self-disclosure on human empathyPLOS ONE10.1371/journal.pone.028395518:5(e0283955)Online publication date: 10-May-2023
https://doi.org/10.1371/journal.pone.0283955
Tsumura TYamada S(2023)Influence of Anthropomorphic Agent on Human Empathy Through GamesIEEE Access10.1109/ACCESS.2023.326930111(40412-40429)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3269301
Tsumura TYamada S(2022)Agents facilitate one category of human empathy through task difficulty2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)10.1109/RO-MAN53752.2022.9900686(22-28)Online publication date: 29-Aug-2022
https://doi.org/10.1109/RO-MAN53752.2022.9900686
Loveys KHiko CSagar MZhang XBroadbent E(2022)“I felt her company”: A qualitative study on factors affecting closeness and emotional support seeking with an embodied conversational agentInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2021.102771(102771)Online publication date: Jan-2022
https://doi.org/10.1016/j.ijhcs.2021.102771
Ranjbartabar HRichards DBilgin AKutay C(2021)Do you mind if I ask?Proceedings of the 21st ACM International Conference on Intelligent Virtual Agents10.1145/3472306.3478357(167-174)Online publication date: 14-Sep-2021
https://dl.acm.org/doi/10.1145/3472306.3478357
Grislin-Le Strugeon EMarcal de Oliveira KThilliez MPetit D(2021)A systematic mapping study on agent miningJournal of Experimental & Theoretical Artificial Intelligence10.1080/0952813X.2020.186478434:2(189-214)Online publication date: 11-Jan-2021
https://doi.org/10.1080/0952813X.2020.1864784

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