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EHCTool: Managing Emotional Hotspots for Conversational Agents

Published: 07 March 2017 Publication History

Abstract

Building conversational agents is becoming easier thanks to the profusion of designated platforms. Integrating emotional intelligence in such agents contributes to positive user satisfaction. Currently, this integration is implemented using calls to an emotion analysis service. In this demonstration we present EHCTool that aims to detect and notify the conversation designer about problematic conversation states where emotions are likely to be expressed by the user. Using its exploration view, the tool assists the designer to manage and define appropriate responses in these cases.

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Sidney D?Mello, Scotty Craig, Karl Fike, and Arthur Graesser. 2009. Responding to Learners? Cognitive-Affective States with Supportive and Shakeup Dialogues. In Proceedings of HCI. 595--604.
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Guy Feigenblat, David Konopnicki, Michal Shmueli-Scheuer, Jonathan Herzig, and Hen Shkedi. I Understand Your Frustration. In Proceedings of the 19th ACM Conference on CSCW 2016. 25--28.
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Jonathan Herzig, Guy Feigenblat, Michal Shmueli-Scheuer, David Konopnicki, Anat Rafaeli, Daniel Altman, and David Spivak. Classifying Emotions in Customer Support Dialogues in Social Media. In 17th Annual Meeting of SIGDIAL, 2016. 64--73.
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Richard L Oliver. 2014. Satisfaction: A behavioral perspective on the consumer. Routledge.

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cover image ACM Conferences
IUI '17 Companion: Companion Proceedings of the 22nd International Conference on Intelligent User Interfaces
March 2017
246 pages
ISBN:9781450348935
DOI:10.1145/3030024
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 March 2017

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Author Tags

  1. conversational agent
  2. emotions
  3. tooling

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  • Demonstration

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IUI'17
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Acceptance Rates

IUI '17 Companion Paper Acceptance Rate 63 of 272 submissions, 23%;
Overall Acceptance Rate 746 of 2,811 submissions, 27%

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IUI '25

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  • (2022)Impact of adaptive multimodal empathic behavior on the user interactionProceedings of the 22nd ACM International Conference on Intelligent Virtual Agents10.1145/3514197.3549675(1-8)Online publication date: 6-Sep-2022
  • (2020)Adapting a Virtual Advisor’s Verbal Conversation Based on Predicted User Preferences: A Study of Neutral, Empathic and Tailored DialogueMultimodal Technologies and Interaction10.3390/mti40300554:3(55)Online publication date: 17-Aug-2020
  • (2018)Towards a pattern language for smart personal assistantsProceedings of the 25th Conference on Pattern Languages of Programs10.5555/3373669.3373682(1-16)Online publication date: 24-Oct-2018
  • (2018)Towards an Artificially Empathic Conversational Agent for Mental Health Applications: System Design and User PerceptionsJournal of Medical Internet Research10.2196/1014820:6(e10148)Online publication date: 26-Jun-2018
  • (2018)Exploring the Universe of Egregious Conversations in ChatbotsCompanion Proceedings of the 23rd International Conference on Intelligent User Interfaces10.1145/3180308.3180324(1-2)Online publication date: 5-Mar-2018

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