Skip to main content
SpringerLink
Log in

A cognitive framework for robot guides in art collections

  • Long Paper
  • Published:
Universal Access in the Information Society Aims and scope Submit manuscript

Abstract

A basic goal in human–robot interaction is to establish such a communication mode between the two parties that the humans perceive it as effective and natural; effective in the sense of being responsive to the information needs of the humans, and natural in the sense of communicating information in modes familiar to humans. This paper sets the framework for a robot guide to visitors in art collections and other assistive environments, which incorporates the principles of effectiveness and naturalness. The human–robot interaction takes place in natural language in the form of a dialogue session during which the robot describes exhibits, but also recommends exhibits that might be of interest to the visitors. It is also possible for the robot to explain its reasoning to the visitors, with a view to increasing transparency and consequently trust in the robot’s suggestions. Furthermore, the robot leads the visitors to the location of the desired exhibit. The framework is general enough to be implemented in different hardware, including portable computational devices. The framework is based on a cognitive model comprised of four modules: a reactive, a deliberative, a reflective and an affective one. An initial implementation of a dialogue system realising this cognitive model is presented. main ontology.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

Notes

  1. http://www.cslu.cse.ogi.edu/toolkit/.

  2. http://www.ltg.ed.ac.uk/dipper/.

  3. http://www.ling.gu.se/projekt/trindi/trindikit/.

  4. http://www.ics.forth.gr/xenios/.

  5. http://www.ics.forth.gr/indigo/contact.html.

  6. http://www.fhw.gr/fhw/en/home/index.html.

  7. http://www.w3.org/TR/owl-features/.

  8. ELEON is available at http://www.iit.demokritos.gr/~eleon/.

  9. http://www.acapela-group.com/index.asp.

  10. http://www.ics.forth.gr/~xmpalt/research/orca/.

  11. http://www.neobotix.de/en/.

References

  1. Adomavicius, G., Tuzhilin, A.: Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Trans. Knowl. Data Eng. 17(6), 734–749 (2005)

    Google Scholar 

  2. André, E., Dybkjær, L., Minker, W., Heisterkamp, P. (eds): Affective Dialogue Systems. Springer, Berlin (2004)

    Google Scholar 

  3. Androutsopoulos, I., Oberlander, J., Karkaletsis, V.: Source authoring for multilingual generation of personalised object descriptions. Nat. Lang. Eng. 13(3), 191–233 (2007)

    Article  Google Scholar 

  4. Baltzakis, H., Argyros, A., Lourakis, M., Trahanias, P.: Tracking of human hands and faces through probabilistic fusion of multiple visual cues. In: Proceedings of International Conference on Computer Vision Systems (ICVS) (2008)

  5. Bennewitz, M., Faber, F., Schreiber, M., Behnke, S.: Towards a humanoid museum guide robot that interacts with multiple persons. In: Proceedings of the 5th IEEE-RAS International Conference on Humanoid Robots (2005)

  6. Bilidas, D., Theologou, M., Karkaletsis, V.: Enriching OWL ontologies with linguistic and user-related annotations: the ELEON system. In: Proceeding of International Conference on Tools with Artificial Intelligence (ICTAI). IEEE Computer Society Press (2007)

  7. Chiu, C.: The Bryn Mawr tour guide robot. PhD thesis, Bryn Mawr College (2004)

  8. Costa, P.T., McCrae, R.R.: Normal personality assessment in clinical practice: The NEO personality inventory. Psycol. Assess., 4(1), 5–13 (1992)

    Google Scholar 

  9. Egges, A., Zhang, X., Kshiragar, S., Thalmann, N.M.: Emotional communication with virtual humans. In: Proceedings of the 9th International Conference on Multimedia Modelling (2003)

  10. Galanis, D., Androutsopoulos, I.: Generating multilingual descriptions from linguistically annotated owl ontologies: the NaturalOWL system. In: Proceedings of the 11th European Workshop on Natural Language Generation, Schloss Dagstuhl, Germany (2007)

  11. Herlocker, J.L., Konstan, J.A., Riedl, J.: Explaining collaborative filtering recommendations. In: CSCW: Proceedings of the ACM Conference on Computer Supported Cooperative Work, pp. 241–250. ACM, New York (2000)

  12. Isard, A., Oberlander, J., Matheson, C., Androutsopoulos, I.: Special issue advances in natural language processing: speaking the users’ languages. IEEE Intell. Syst. Mag. 1(18), 40–45 (2003)

    Article  Google Scholar 

  13. Kelly, J.P., Bridge, D.: Enhancing the diversity of conversational collaborative recommendations: a comparison. Artif. Intell. Rev. 25(1–2), 79–95 (2003)

    Google Scholar 

  14. Kshirsagar, S., Garchery, S., Sannier, G., Magnenat-Thalmann, N.: Synthetic faces: analysis and applications. Int. J. Imaging Syst. Technol. 13(e1), 65–73 (2003)

    Article  Google Scholar 

  15. Langley, P., Laird, J.E., Rogers, S.: Cognitive architectures: research issues and challenges. Technical report, Computational Learning Laboratory, Stanford University (2006)

  16. McEleney, B., Hare, G.O.: Efficient dialogue using a probabilistic nested user model. In: 19th International Joint Conference on Artificial Intelligence, Edinburgh, Scotland (2005)

  17. McTear, M.F.: Spoken Dialogue Technology. Towards the Conversational User Interface. Springer, Berlin (2004)

    Google Scholar 

  18. Milward, D., Beveridge, M.: Ontology-based dialogue systems. In: Proceedings of IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems (2003)

  19. Minsky, M.: The Emotion Machine. Simon and Shuster, New York City (2006)

    Google Scholar 

  20. Mooney, R.J., Roy, L.: Content-based book recommending using learning for text categorization. In: DL: Proceedings of the 5th ACM conference on Digital Libraries, pp. 195–204, ACM, New York (2000)

  21. Newell, A., Simon, H.A.: Computer science as empirical inquiry: symbols and search. Commun. ACM 19(3), 113–126 (1976)

    Google Scholar 

  22. O’Donnell, M., Mellish, C., Oberlander, J., Knott, A.: ILEX: an architecture for a dynamic hypertext generation system. Nat. Lang. Eng. 7(3), 225–250 (2001)

    Google Scholar 

  23. Ortony, A., Glore, G., Collins, A.: The Cognitive Structure of Emotions. Cambridge University Press, Cambridge (1988)

    Google Scholar 

  24. Paliouras, G., Mouzakidis, A., Ntoutsis, C., Alexopoulos, A., Skourlas, C.: PNS: personalized multi-source news delivery. In: Proceedings of the 10th International Conference on Knowledge-Based & Intelligent Information & Engineering Systems (KES), UK (2006)

  25. Paliouras, G., Papatheodorou, C., Karkaletsis, V., Spyropoulos, C.D.: Clustering the users of large web sites into communities. In: ICML : Proceedings of the 17th International Conference on Machine Learning, pp. 719–726. Morgan Kaufmann, San Francisco (2000)

  26. Piccard, R.W.: Affective Computing. MIT Press, Cambridge (1997)

    Google Scholar 

  27. Rafter, R., Smyth, B.: Conversational collaborative recommendation—an experimental analysis. Artif. Intell. Rev. 24(3–4), 301–318 (2005)

    Article  Google Scholar 

  28. Reiter, E., Dale, R.: Building Natural Language Generation Systems. Cambridge University Press, Cambridge (2000)

    Book  Google Scholar 

  29. Rich, E.: User modeling via stereotypes. Cogn. Sci. 3(4), 329–354 (1979)

    Article  Google Scholar 

  30. Sloman, A.: Requirements for a fully-deliberative architecture (or component of an architecture). http://www.cs.bham.ac.uk/research/projects/cosy/papers/#dp0604, COSY-DP-0604 (HTML) (2006)

  31. Thrun, S., Bennewitz, M., Burgard, W., Cremers, A.B., Dellaert, F., Fox, D., Haehnel, D., Rosenberg, C., Roy, N., Schulte, J., Schulz, D.: MINERVA: a second generation mobile tour-guide robot. In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA) (1999)

  32. Trahanias, P., Burgard, W., Argyros, A., Hahnel, D., Baltzakis, H., Pfaff, P., Stachniss, C.: TOURBOT and WebFAIR: web-operated mobile robots for tele-presence in populated exhibitions. IEEE Robot. Autom. Mag., Spec. Issue Robot. Autom. Eur.: Proj. Funded Comm. Eur. Union 12(2), 77–89 (2005)

    Google Scholar 

  33. Traum, D., Larsson, S.: The information state approach to dialogue management. In: Juppenvelt, J., Smith, R. (eds) Current and New Directions in Discourse and Dialogue. Kluwer, The Netherlands (2003)

    Google Scholar 

  34. Vernon, D., Metta, G., Sandini, G.: A survey of artificial cognitive systems: implications for the autonomous development of mental capabilities in computational agents. IEEE Trans. Evol. Comput., Spec. Issue Auton. Ment. Dev. 11(2), 151–180 (2007)

    Google Scholar 

Download references

Acknowledgments

This work was partially supported by the research programmes XENIOS (Information Society, 3.3, Greek national project) and INDIGO (FP6, IST-045388, EU project).

Author information

Authors and Affiliations

  1. Institute of Informatics and Telecommunications, NCSR “Demokritos”, 153 10,, Agia Paraskevi, Athens, Greece

    Dimitrios Vogiatzis & Vangelis Karkaletsis

Authors
  1. Dimitrios Vogiatzis
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Vangelis Karkaletsis
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Dimitrios Vogiatzis.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Vogiatzis, D., Karkaletsis, V. A cognitive framework for robot guides in art collections. Univ Access Inf Soc 10, 179–193 (2011). https://doi.org/10.1007/s10209-010-0199-3

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10209-010-0199-3

Keywords

Search

Navigation