A Method for Semi-automatic Explicitation of Agent’s Behavior - Application to the Study of an Immersive Driving Simulator

Kévin Darty, Julien Saunier, Nicolas Sabouret

2014

Abstract

This paper presents a method for evaluating the credibility of agents’ behaviors in immersive multi-agent simulations. It combines two approaches. The first one is based on a qualitative analysis of questionnaires filled by the users and annotations filled by others participants to draw categories of users (related to their behavior in the context of the simulation or in real life). The second one carries out a quantitative behavior data collection during simulations in order to automatically extract behavior clusters. We then study the similarities between user categories, participants’ annotations and behavior clusters. Afterward, relying on user categories and annotations, we compare human behaviors to agent ones in order to evaluate the agents’ credibility and make their behaviors explicit. We illustrate our method with an immersive driving simulator experiment.

References

  1. Arthur, D. and Vassilvitskii, S. (2007). k-means++: The advantages of careful seeding. In Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms, pages 1027-1035. Society for Industrial and Applied Mathematics.
  2. Berndt, D. and Clifford, J. (1994). Using dynamic time warping to find patterns in time series. In KDD workshop, volume 10, pages 359-370.
  3. Burkhardt, J. M., Bardy, B., and Lourdeaux, D. (2003). Immersion, réalisme et présence dans la conception et l'évaluation des environnements virtuels. Psychologie franc¸aise, 48(2):35-42.
  4. Caillou, P. and Gil-Quijano, J. (2012). Simanalyzer: Automated description of groups dynamics in agent-based simulations. In Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems-Volume 3, pages 1353-1354. International Foundation for Autonomous Agents and Multiagent Systems.
  5. CaliÁski, T. and Harabasz, J. (1974). A dendrite method for cluster analysis. Communications in Statistics-theory and Methods, 3(1):1-27.
  6. Champion, A., Ó spié, S., and Auberlet, J. M. (2001). Behavioral road traffic simulation with archisim. In Summer Computer Simulation Conference, pages 359- 364. Society for Computer Simulation International; 1998.
  7. Champion, A., Zhang, M. Y., Auberlet, J. M., and Espié, S. (2002). Behavioral simulation: Towards high-density network traffic studies. ASCE.
  8. Drogoul, A., Corbara, B., and Fresneau, D. (1995). Manta: New experimental results on the emergence of (artificial) ant societies. Artificial Societies: the computer simulation of social life, pages 190-211.
  9. Fontaine, G. (1992). The experience of a sense of presence in intercultural and international encounters. Presence: Teleoperators and Virtual Environments, 1(4):482-490.
  10. Gonc¸alves, J. and Rossetti, R. J. F. (2013). Extending sumo to support tailored driving styles. 1st SUMO User Conference, DLR, Berlin Adlershof, Germany, 21:205-211.
  11. Hubert, L. and Arabie, P. (1985). Comparing partitions. Journal of Classification, 2(1):193-218.
  12. Javeau, C. (1978). L'enqueˆte par questionnaire: manuel à l'usage du praticien. Editions de l'Université de Bruxelles.
  13. Kohonen, T. (1990). The self-organizing map. Proceedings of the IEEE, 78(9):1464-1480.
  14. Leplat, J. (1997). Simulation et simulateur: principes et usages. Regards sur l'activité en situation de travail: contribution à la psychologie ergonomique, pages 157-181.
  15. Lessiter, J., Freeman, J., Keogh, E., and Davidoff, J. (2001). A cross-media presence questionnaire: The itc-sense of presence inventory. Presence: Teleoperators & Virtual Environments, 10(3):282-297.
  16. Lester, J. C., Converse, S. A., et al. (1997). The persona effect: affective impact of animated pedagogical agents. In Proceedings of the SIGCHI conference on Human factors in computing systems, pages 359-366. ACM.
  17. Likert, R. (1932). A technique for the measurement of attitudes. Archives of psychology.
  18. Greevy, M. W. (1992). The presence of field geologists in mars-like terrain. Presence: Teleoperators and Virtual Environments, 1(4):375-403.
  19. Milligan, G. W. and Cooper, M. C. (1986). A study of the comparability of external criteria for hierarchical cluster analysis. Multivariate Behavioral Research, 21(4):441-458.
  20. Patrick, J. (1992). Training: Research and practice. Academic Press.
  21. Pavlov, I. P. and Anrep, G. V. (2003). Conditioned reflexes. Dover Pubns.
  22. Pelleg, D., Moore, A., et al. (2000). X-means: Extending k-means with efficient estimation of the number of clusters. In Proceedings of the Seventeenth International Conference on Machine Learning, volume 1, pages 727-734. San Francisco.
  23. Premack, D., Woodruff, G., et al. (1978). Does the chimpanzee have a theory of mind. Behavioral and brain sciences, 1(4):515-526.
  24. Rand, W. M. (1971). Objective criteria for the evaluation of clustering methods. Journal of the American Statistical Association, 66(336):846-850.
  25. Reason, J., Manstead, A., Stradling, S., Baxter, J., and Campbell, K. (1990). Errors and violations on the roads: a real distinction? Ergonomics, 33(10- 11):1315-1332.
  26. Salvador, S. and Chan, P. (2007). Toward accurate dynamic time warping in linear time and space. Intelligent Data Analysis, 11(5):561-580.
  27. Serrano, E., Mun˜oz, A., and Botia, J. (2012). An approach to debug interactions in multi-agent system software tests. Information Sciences, 205:38-57.
  28. Stoffregen, T. A., Bardy, B. G., Smart, L. J., and Pagulayan, R. J. (2003). On the nature and evaluation of fidelity in virtual environments. Virtual and adaptive environments: Applications, implications, and human performance issues, pages 111-128.
  29. Witmer, B. G. and Singer, M. J. (1998). Measuring presence in virtual environments: A presence questionnaire. Presence, 7(3):225-240.
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Paper Citation


in Harvard Style

Darty K., Saunier J. and Sabouret N. (2014). A Method for Semi-automatic Explicitation of Agent’s Behavior - Application to the Study of an Immersive Driving Simulator . In Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-016-1, pages 81-91. DOI: 10.5220/0004821400810091


in Bibtex Style

@conference{icaart14,
author={Kévin Darty and Julien Saunier and Nicolas Sabouret},
title={A Method for Semi-automatic Explicitation of Agent’s Behavior - Application to the Study of an Immersive Driving Simulator},
booktitle={Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2014},
pages={81-91},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004821400810091},
isbn={978-989-758-016-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - A Method for Semi-automatic Explicitation of Agent’s Behavior - Application to the Study of an Immersive Driving Simulator
SN - 978-989-758-016-1
AU - Darty K.
AU - Saunier J.
AU - Sabouret N.
PY - 2014
SP - 81
EP - 91
DO - 10.5220/0004821400810091