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Research at St Andrews

Conversational intelligence analysis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

DOI

Author(s)

Alice Toniolo, Timothy J. Norman, Dave Braines, Paul Sullivan, Alun D. Preece, Will Webberley, Timothy Dropps

School/Research organisations

Abstract

Social networks foster the development of social sensing to gather data about situations in the environment. Making sense of this information is, however, a challenge because the process is not linear and additional sensed information may be needed to better understand a situation. In this paper we explore how two complementary technologies, Moira and CISpaces, operate in unison to support collaboration among human-agent teams to iteratively gather and analyse information to improve situational awareness. The integrated system is developed for supporting intelligence analysis in a coalition environment. Moira is a conversational interface for information gathering, querying and evidence aggregation that supports cooperative data-driven analytics via Controlled Natural Language. CISpaces supports collaborative sensemaking among analysts via argumentation-based evidential reasoning to guide the identification of plausible hypotheses, including reasoning about provenance to explore credibility. In concert, these components enable teams of analysts to collaborate in constructing structured hypotheses with machine-based systems and external collaborators.

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Details

Original languageEnglish
Title of host publicationProceedings of the 17th International Conference on Distributed Computing and Networking, ICDCN 2016
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450340328
DOIs
Publication statusPublished - 4 Jan 2016
Event17th International Conference on Distributed Computing and Networking, ICDCN 2016 - Singapore, Singapore
Duration: 4 Jan 20167 Jan 2016

Publication series

NameACM International Conference Proceeding Series
Volume04-07-January-2016

Conference

Conference17th International Conference on Distributed Computing and Networking, ICDCN 2016
CountrySingapore
CitySingapore
Period4/01/167/01/16

    Research areas

  • Argumentation, Controlled Natural Language, Intelligence analysis, Provenance

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  1. On natural language generation of formal argumentation

    Cerutti, F., Toniolo, A. & Norman, T. J., 27 Dec 2019, Proceedings of the 3rd Workshop on Advances In Argumentation In Artificial Intelligence co-located with the 18th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2019): Rende, Italy, November 19-22, 2019. Santini, F. & Toniolo, A. (eds.). Sun SITE Central Europe, p. 15-29 15 p. (CEUR Workshop Proceedings; vol. 2528).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  2. Dialectical models of deliberation, problem solving and decision making

    Walton, D., Toniolo, A. & Norman, T. J., 13 Sep 2019, In : Argumentation. First Online

    Research output: Contribution to journalArticle

  3. Deb8: a tool for collaborative analysis of video

    Carneiro, G., Nacenta, M., Toniolo, A., Mendez, G. & Quigley, A. J., 4 Jun 2019, Proceedings of the 2019 ACM International Conference on Interactive Experiences for TV and Online Video (TVX '19). ACM, p. 47-58

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  4. Deb8: collaborative fact checking

    Carneiro, G., Nacenta, M., Toniolo, A., Mendez, G. G. & Quigley, A. J., 5 May 2019.

    Research output: Contribution to conferencePaper

  5. A tool to highlight weaknesses and strengthen cases: CISpaces.org

    Cerutti, F., Norman, T. J. & Toniolo, A., 12 Dec 2018, Legal Knowledge and Information: JURIX 2018: The Thirty-first Annual Conference. Palmirani, M. (ed.). IOS Press, p. 186-189 4 p. (Frontiers in Artificial Intelligence and Applications; vol. 313).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

ID: 265773641

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