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Touch Your Heart: A Tone-aware Chatbot for Customer Care on Social Media

Published: 21 April 2018 Publication History

Abstract

Chatbot has become an important solution to rapidly increasing customer care demands on social media in recent years. However, current work on chatbot for customer care ignores a key to impact user experience - tones. In this work, we create a novel tone-aware chatbot that generates toned responses to user requests on social media. We first conduct a formative research, in which the effects of tones are studied. Significant and various influences of different tones on user experience are uncovered in the study. With the knowledge of effects of tones, we design a deep learning based chatbot that takes tone information into account. We train our system on over 1.5 million real customer care conversations collected from Twitter. The evaluation reveals that our tone-aware chatbot generates as appropriate responses to user requests as human agents. More importantly, our chatbot is perceived to be even more empathetic than human agents.

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    cover image ACM Conferences
    CHI '18: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
    April 2018
    8489 pages
    ISBN:9781450356206
    DOI:10.1145/3173574
    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 ACM 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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    Published: 21 April 2018

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    Author Tags

    1. chatbot
    2. customer care
    3. deep learning
    4. social media

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    • (2024)Emotional Intelligence in Voice Assistants : Advancing Human-AI InteractionInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology10.32628/CSEIT24105103910:5(513-523)Online publication date: 9-Oct-2024
    • (2024)Emotional Intelligence in Voice Assistants : Advancing Human-AI InteractionInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology10.32628/CSEIT24105102010:5(449-460)Online publication date: 9-Oct-2024
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