skip to main content
10.1145/3136755.3143022acmconferencesArticle/Chapter ViewAbstractPublication Pagesicmi-mlmiConference Proceedingsconference-collections
short-paper

MIRIAM: a multimodal chat-based interface for autonomous systems

Published:03 November 2017Publication History

ABSTRACT

We present MIRIAM (Multimodal Intelligent inteRactIon for Autonomous systeMs), a multimodal interface to support situation awareness of autonomous vehicles through chat-based interaction. The user is able to chat about the vehicle's plan, objectives, previous activities and mission progress. The system is mixed initiative in that it pro-actively sends messages about key events, such as fault warnings. We will demonstrate MIRIAM using SeeByte's SeeTrack command and control interface and Neptune autonomy simulator.

References

  1. M. L. Cummings. 2004. The Need for Command and Control Instant Message Adaptive Interfaces: Lessons Learned from Tactical Tomahawk Human-in-the-Loop Simulations. Cyberpsychology and behaviour 7, 6 (2004).Google ScholarGoogle Scholar
  2. H. Hastie, X. Liu, and P. Patron. 2016. A Demonstration of Multimodal Debrief Generation for AUVs, Post-mission and In-mission. In Proceedings of ICMI. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. H. Hastie, X. Liu, and P. Patron. 2017. Trust Triggers for Multimodal Command and Control Interfaces. In Proceedings of ICMI. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. E. W. Medina, S. Fugate, L. Duffy, D. Magsombol, O. Amezcua, G. Rogers, and M.G. Ceruit. 2007. Next-generation tactical-situation-assessment technology (TSAT): Chat. In Lecture notes in Computer Science, L. Baresi, P. Fraternali, and G.J. Houben (Eds.). Berlin: Springer-Verlag, 526–532. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. I. V. Serban, R. Lowe, L. Charlin, and J. Pineau. 2016. Generative Deep Neural Networks for Dialogue: A Short Review. (2016).Google ScholarGoogle Scholar
  6. https://arxiv.org/pdf/1611.06216.Google ScholarGoogle Scholar
  7. pdfGoogle ScholarGoogle Scholar
  8. O. Vinyals and Q. Le. 2015. A neural conversational model. arXiv preprint arXiv:1506.05869 (2015).Google ScholarGoogle Scholar
  9. Abstract 1 Introduction 2 Demonstration 3 System Architecture Acknowledgments ReferencesGoogle ScholarGoogle Scholar

Index Terms

  1. MIRIAM: a multimodal chat-based interface for autonomous systems

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in
        • Published in

          cover image ACM Conferences
          ICMI '17: Proceedings of the 19th ACM International Conference on Multimodal Interaction
          November 2017
          676 pages
          ISBN:9781450355438
          DOI:10.1145/3136755

          Copyright © 2017 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 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]

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 3 November 2017

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • short-paper

          Acceptance Rates

          ICMI '17 Paper Acceptance Rate65of149submissions,44%Overall Acceptance Rate453of1,080submissions,42%

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader