Skip to main content
Log in

Building long-term relationships with virtual and robotic characters: the role of remembering

  • Original Article
  • Published:
The Visual Computer Aims and scope Submit manuscript

Abstract

With the recent advances, today people are able to communicate with embodied (virtual/robotic) entities using natural ways of communication. In order to use them in our daily lives, they need to be intelligent enough to make long-term relationships with us and this is highly challenging. Previous work on long-term interaction frequently reported that after the novelty effect disappeared, users’ interest into the interaction decreased with time. Our primary goal in this study was to develop a system that can still keep the attention of the users after the first interaction.

Incorporating the notion of time, we think that the key to long-term interaction is the recall of past memories during current conversation. For this purpose, we developed a long-term interaction framework with remembering and dialogue planning capability. In order to see the effect of remembering on users, we designed a tutoring application and measured the changes in social presence and task engagement levels according to the existence of memory. Different from previous work, users’ interest in our system did not decrease with time with the important contributions of remembering to the engagement level of users.

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

Access this article

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

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Altmann, E., Gray, W.: Managing attention by preparing to forget. In: Human Factors and Ergonomics Society Annual Meeting Proceedings, Cognitive Ergonomics, vol. 1, pp. 152–155 (2000)

    Google Scholar 

  2. Baylor, A.L., Kim, Y.: Simulating instructional roles through pedagogical agents. Int. J. Artif. Intell. Ed. 15, 95–115 (2005)

    Google Scholar 

  3. Bickmore, T.W., Picard, R.W.: Establishing and maintaining long-term human-computer relationships. ACM Trans. Comput.-Hum. Interact. 12, 293–327 (2005)

    Article  Google Scholar 

  4. Biocca, F., Harms, C., Burgoon, J.: Towards a more robust theory and measure of social presence: review and suggested criteria. Presence: Teleoperators and Virtual Environments 12, 456–480 (2003)

    Article  Google Scholar 

  5. D’Mello, S., Picard, R.W., Graesser, A.: Towards an affect-sensitive autotutor. IEEE Intell. Syst. 22, 53–61 (2007)

    Article  Google Scholar 

  6. Egges, A.: Real-time animation of interactive virtual characters. Ph.D. thesis, University of Geneva, Geneva, Switzerland (2006)

  7. Gockley, R., Forlizzi, J., Simmons, R.: Interactions with a moody robot. In: Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction, HRI’06, pp. 186–193. ACM, New York (2006)

    Chapter  Google Scholar 

  8. Harbers, M., van den Bosch, K., Meyer, J.J.: A methodology for developing self-explaining agents for virtual training. In: Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems, AAMAS’09, vol. 2, pp. 1129–1130. International Foundation for Autonomous Agents and Multiagent Systems, Richland (2009)

    Google Scholar 

  9. Johnson, W.L., Rickel, J., Stiles, R., Munro, A.: Integrating pedagogical agents into virtual environments. Presence: Teleoper. Virtual Environ. 7, 523–546 (1998)

    Article  Google Scholar 

  10. Kanda, T., Hirano, T., Eaton, D., Ishiguro, H.: Interactive robots as social partners and peer tutors for children: a field trial. Hum.-Comput. Interact. 19, 61–84 (2004)

    Article  Google Scholar 

  11. Kasap, Z., Magnenat-Thalmann, N.: Towards episodic memory based long-term affective interaction with a human-like robot. In: IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), pp. 479–484. IEEE Press, New York (2010)

    Google Scholar 

  12. Kasap, Z., Magnenat-Thalmann, N.: Long-term social interaction with an expressive robot. In: Computer Graphics International (2011)

    Google Scholar 

  13. Kidd, C., Breazeal, C.: Robots at home: understanding long-term human-robot interaction. Nice, France (2008)

  14. Kim, Y., Baylor, A.L.: A social-cognitive framework for pedagogical agents as learning companions. Educ. Technol. Res. Dev. 54, 569–596 (2006)

    Article  Google Scholar 

  15. Leite, I., Martinho, C., Pereira, A., Paiva, A.: As time goes: by long-term evaluation of social presence in robotic companions. In: Proceedings of the 18th IEEE International Symposium on Robot and Human Interactive Communication, pp. 669–674 (2009)

    Chapter  Google Scholar 

  16. Lewis, P., Critchley, H.: Mood-dependent memory. Trends Cogn. Sci. 17, 431–433 (2003)

    Article  MATH  Google Scholar 

  17. Lombard, M., Ditton, T.B., Crane, D., Davis, B., Gil-Egui, G., Horvath, K.: Measuring presence: a literature-based approach to the development of a standardized paper-and-pencil instrument. In: IJsselsteijn, W., Freeman, J., Ridder, H. de (eds.) Proceedings of the Third International Workshop on Presence (2000)

    Google Scholar 

  18. McAuley, E.: Psychometric properties of the intrinsic motivation inventory in a competitive sport setting: a confirmatory factor analysis. Res. Q. Exerc. Sport 60, 48–58 (1989)

    Google Scholar 

  19. Nuxoll, A.M.: Enhancing intelligent agents with episodic memory. Ph.D. thesis, University of Michigan, Ann Arbor, MI, USA (2007). AAI3287596

  20. Saerbeck, M., Schut, T., Bartneck, C., Janse, M.D.: Expressive robots in education: varying the degree of social supportive behavior of a robotic tutor. In: Proceedings of the 28th international conference on Human factors in computing systems, CHI’10, pp. 1613–1622. ACM, New York (2010)

    Google Scholar 

  21. Sardina, S., de Silva, L., Padgham, L.: Hierarchical planning in bdi agent programming languages: a formal approach. In: Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS’06, pp. 1001–1008. ACM, New York (2006)

    Chapter  Google Scholar 

  22. Schank, R.C., Abelson, R.P.: Scripts, Plans, Goals and Understanding: an Inquiry into Human Knowledge Structures. Erlbaum, Hillsdale (1977)

    MATH  Google Scholar 

  23. Tapus, A., Tapus, C., Mataric, M.: User-robot personality matching and robot behavior adaptation for post-stroke rehabilitation therapy. Intell. Serv. Robot. J. 2, 169–183 (2008). Special Issue on Multidisciplinary Collaboration for Socially Assistive Robotics

    Article  Google Scholar 

  24. Tecuci, D., Porter, B.: A generic memory module for events. In: Proceedings to the 20th Florida Artificial Intelligence Research Society Conference (FLAIRS20), Key West, FL (2007)

    Google Scholar 

  25. Tulving, E.: Episodic and semantic memory. In: Tulving, E., Donaldson, W. (eds.) Organization of Memory, pp. 381–403. Academic Press, New York (1972)

    Google Scholar 

  26. Wixted, J.: Analyzing the empirical course of forgetting. J. Exp. Psychol. Learn. Mem. Cogn. 16, 927–935 (1990)

    Article  Google Scholar 

  27. Woolf, B., Burleson, W., Arroyo, I., Dragon, T., Cooper, D., Picard, R.: Affect-aware tutors: recognising and responding to student affect. Int. J. Learn. Technol. 4, 129–164 (2009)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zerrin Kasap.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kasap, Z., Magnenat-Thalmann, N. Building long-term relationships with virtual and robotic characters: the role of remembering. Vis Comput 28, 87–97 (2012). https://doi.org/10.1007/s00371-011-0630-7

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00371-011-0630-7

Keywords

Navigation