Supporting Acceptable Dialogue Start Based on User Uninterruptibility Estimation for Avatar-Mediated Multi-tasking Online Communication

  • Takahiro Tanaka
  • Kyouhei Matsumura
  • Kinya Fujita
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5621)


Current users of real-time online communication tools have difficulty recognizing the status of interaction partners. Therefore, initiation dialogue has a risk of unintended interruption of the partner. To overcome the problem, we focused on application-switching (AS) as a potential intelligent activity discontinuity marker for uninterruptibility estimation. Preliminary experiments revealed an uninterruptibility reduction effect of AS. Therefore, we prototyped an acceptable dialogue start supporting agent system that allows users to recognize the uninterruptibility of interaction partners naturally. The system estimates uninterruptibility using AS, keystrokes, and mouse clicks, and presenting the results by avatar posture and motion using overlapping expressions to control the impression of uninterruptibility.


Multi-tasking online communication interruptibility 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Honda, S., et al.: A Home Office Environment Based on the Concentration Degrees of Wokers: A Virtual Office SystemValentine. Trans. Info. Processing Society of Japan 39(5), 1472–1483 (1998) (in Japanese)Google Scholar
  2. 2.
    Hudson, S.E., et al.: Predicting Human Interruptibility with Sensors: A Wizard of Oz Feasibility Study. In: Proc. SIGCHI conf. on Human Factors in Computing Systems, pp. 257–264 (2003)Google Scholar
  3. 3.
    Kobayashi, K., Yamada, S.: Informing a User of Robot’s Mind by Motion. In: The third International Conference on Computational Intelligence, Robotics and Autonomous Systems (CIRAS 2005), SS4B-3 (2005)Google Scholar
  4. 4.
    Lance, B., Marsella, S.C.: Emotionally Expressive Head and Body Movement During Gaze Shifts. In: Pelachaud, C., Martin, J.-C., André, E., Chollet, G., Karpouzis, K., Pelé, D. (eds.) IVA 2007. LNCS, vol. 4722, pp. 72–85. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  5. 5.
    Lester, J., et al.: A Hybrid Discriminative/Generative Approach for Modeling Human Activities. In: Proc. IJCAI 2005, pp. 766–772 (2005)Google Scholar
  6. 6.
    Lee, J., Marsella, S.: Nonverbal Behavior Generator for Embodied Conversational Agent. In: Proc. 6th International Conference on Intelligent Virtual Agents, pp. 243–255. Springer, Heidelberg (2006)Google Scholar
  7. 7.
    Second Life, Linden Research, Inc.,
  8. 8.
    Vertegaal, R.: The GAZE Groupware System: Mediating Joint Attention in Multiparty Communication and Collaboration. In: Proc. CHI 1999, pp. 15–20 (1999)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Takahiro Tanaka
    • 1
  • Kyouhei Matsumura
    • 1
  • Kinya Fujita
    • 1
  1. 1.Tokyo University of Agriculture and TechnologyTokyoJapan

Personalised recommendations