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Envisioning conversation: toward understanding and augmenting common ground

Published: 29 May 2018 Publication History

Abstract

Our intellectual life draws on daily conversations that allow us to communicate thoughts, ideas, emotions, etc. To conduct smooth and reliable interactions, participants need to share a solid basis of common ground prior to conversation, which consists of knowledge, beliefs, and suppositions regarding the topics to discuss. Importance of common ground applies to artificial agents as well. A capability of jointly building and maintaining the common ground with people on the fly is indispensable to establish a productive relationship. Understanding and augmenting common ground is challenging, as it is both tacit and dynamic in the sense that the common ground for a situation contains plenty of tacit dimensions and it is dynamically updated as the interaction proceeds.

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  • (2024)Dense Paraphrasing for multimodal dialogue interpretationFrontiers in Artificial Intelligence10.3389/frai.2024.14799057Online publication date: 19-Dec-2024

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  1. Envisioning conversation: toward understanding and augmenting common ground

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    cover image ACM Conferences
    AVI '18: Proceedings of the 2018 International Conference on Advanced Visual Interfaces
    May 2018
    430 pages
    ISBN:9781450356169
    DOI:10.1145/3206505
    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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    New York, NY, United States

    Publication History

    Published: 29 May 2018

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    AVI '18
    AVI '18: 2018 International Conference on Advanced Visual Interfaces
    May 29 - June 1, 2018
    Grosseto, Castiglione della Pescaia, Italy

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    AVI '18 Paper Acceptance Rate 19 of 77 submissions, 25%;
    Overall Acceptance Rate 128 of 490 submissions, 26%

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    • (2024)Dense Paraphrasing for multimodal dialogue interpretationFrontiers in Artificial Intelligence10.3389/frai.2024.14799057Online publication date: 19-Dec-2024

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