AmI 2013: Ambient Intelligence pp 261-266 | Cite as

Towards Automatic Detection of Missing Referred Documents during Meetings

  • Hugo Lopez-Tovar
  • John Dowell
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8309)

Abstract

Business meetings are often informed by and make reference to documents, however not every document that a meeting wishes to consult will already be present. We propose the concept of a smart meeting room capable of detecting when the meeting talks about a document and determining whether that document is already present. We report a preliminary interview-based study into the experience of attending meetings where documents are missing. A subsequent study investigated how observers of meetings are able to judge whether a document being talked about is currently present. This indicates the specific capabilities required by an intelligent assistant system able to detect references to missing documents. We describe an experimental investigation into one such capability involving visually tracking hands and printed documents in a video recording of a meeting.

Keywords

Ambient Intelligence Intelligent Assistant Computer Supported Cooperative Work Smart Rooms Meetings 

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References

  1. 1.
    March, J., Simon, H.A.: Organizations. University of Illinois (1958)Google Scholar
  2. 2.
    Daft, R.L., Lengel, R.H.: Information richness. A new approach to managerial behavior and organization design. Technical report, DTIC Document (1983)Google Scholar
  3. 3.
    Rienks, R., Nijholt, A., Reidsma, D.: 18 Meetings and Meeting Support in Ambient Intelligence (2006)Google Scholar
  4. 4.
    Mithas, S., Ramasubbu, N., Sambamurthy, V.: How information management capability influences firm performance. Mis Quarterly 35(1), 237–256 (2011)Google Scholar
  5. 5.
    Aarts, E., Wichert, R.: Ambient intelligence, pp. 244–249 (2009)Google Scholar
  6. 6.
    Cook, D.J., Augusto, J.C., Jakkula, V.R.: Ambient intelligence: Technologies, applications, and opportunities. Pervasive and Mobile Computing 5(4), 277–298 (2009)CrossRefGoogle Scholar
  7. 7.
    Adler, A., Davis, R.: Speech and sketching for multimodal design. In: ACM SIGGRAPH 2007 Courses, p. 14. ACM (2007)Google Scholar
  8. 8.
    Preuveneers, D., et al.: Towards an extensible context ontology for ambient intelligence. In: Markopoulos, P., Eggen, B., Aarts, E., Crowley, J.L. (eds.) EUSAI 2004. LNCS, vol. 3295, pp. 148–159. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  9. 9.
    Myers, K., Berry, P., Blythe, J., Conley, K., Gervasio, M., McGuinness, D.L., Morley, D., Pfeffer, A., Pollack, M., Tambe, M.: An intelligent personal assistant for task and time management. AI Magazine 28(2), 47 (2007)Google Scholar
  10. 10.
    Segal, R.B., Kephart, J.O.: Mailcat: an intelligent assistant for organizing e-mail. In: Proceedings of the Third Annual Conference on Autonomous Agents, pp. 276–282. ACM (1999)Google Scholar
  11. 11.
    Tur, G., Stolcke, A., Voss, L., Peters, S., Hakkani-Tur, D., Dowding, J., Favre, B., Fernández, R., Frampton, M., Frandsen, M., et al.: The calo meeting assistant system. IEEE Transactions on Audio, Speech, and Language Processing 18(6), 1601–1611 (2010)CrossRefGoogle Scholar
  12. 12.
    Ehlen, P., Fernandez, R., Frampton, M.: Designing and evaluating meeting assistants, keeping humans in mind. In: Popescu-Belis, A., Stiefelhagen, R. (eds.) MLMI 2008. LNCS, vol. 5237, pp. 309–314. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  13. 13.
    Popescu-Belis, A., Lalanne, D., Bourlard, H.: Finding information in multimedia meeting records. IEEE Multimedia 19(2), 48–57 (2012)CrossRefGoogle Scholar
  14. 14.
    Popescu-Belis, A., Lalanne, D., et al.: Reference resolution over a restricted domain: References to documents. In: ACL 2004 Workshop on Reference Resolution and its Applications, Barcelona, Spain, pp. 71–78 (2004)Google Scholar
  15. 15.
    Mekhaldi, D., Lalanne, D., Ingold, R.: A multimodal alignment framework for spoken documents. Multimedia Tools and Applications 61(2), 353–388 (2012)CrossRefGoogle Scholar
  16. 16.
    O’Connor, M., Cosley, D., Konstan, J.A., Riedl, J.: Polylens: a recommender system for groups of users. In: ECSCW 2001, pp. 199–218. Springer (2002)Google Scholar
  17. 17.
    Porcel, C., Tejeda-Lorente, A., Martínez, M., Herrera-Viedma, E.: A hybrid recommender system for the selective dissemination of research resources in a technology transfer office. Information Sciences 184(1), 1–19 (2012)CrossRefMATHGoogle Scholar
  18. 18.
    Popescu-Belis, A., Boertjes, E., Kilgour, J., Poller, P., Castronovo, S., Wilson, T., Jaimes, A., Carletta, J.: The AMIDA automatic content linking device: Just-in-time document retrieval in meetings. In: Popescu-Belis, A., Stiefelhagen, R. (eds.) MLMI 2008. LNCS, vol. 5237, pp. 272–283. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  19. 19.
    Popescu-Belis, A., Yazdani, M., Nanchen, A., Garner, P.N.: A speech-based just-in-time retrieval system using semantic search. In: Proceedings of the 49th Annual Meeting of the ACL, pp. 80–85. Citeseer (2011)Google Scholar
  20. 20.
    AMI-Project: AMI meeting corpus, http://corpus.amiproject.org/
  21. 21.
    Lee, D.S.: Effective gaussian mixture learning for video background subtraction. IEEE Transactions on Pattern Analysis and Machine Intelligence 27(5), 827–832 (2005)CrossRefGoogle Scholar
  22. 22.
    Keni, B., Rainer, S.: Evaluating multiple object tracking performance: the clear mot metrics. EURASIP Journal on Image and Video Processing 2008 (2008)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Hugo Lopez-Tovar
    • 1
  • John Dowell
    • 1
  1. 1.University College LondonUK

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