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What’s Next? The New Era of Autonomous Virtual Humans

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7660))

Abstract

This paper identifies several key limitations in the representation, control, locomotion, and authoring of autonomous virtual humans that must be addressed to enter the new age of interactive virtual world applications. These limitations include simplified particle representations of agents which decouples control and locomotion, the lack of multi-modal perception in virtual environments, the need for multiple levels of control granularity, homogeneity in character animation, and monolithic agent architectures which cannot scale to complex multi-agent interactions and global narrative constraints. We present this broad perspective with the objective of providing the stimulus for an exciting new era of virtual human research.

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References

  1. Bee, M., Micheyl, C.: The cocktail party problem: What is it? how can it be solved? and why should animal behaviorists study it? Journal of Comparative Psychology 122(3), 235 (2008)

    Article  Google Scholar 

  2. van den Berg, J., Lin, M.C., Manocha, D.: Reciprocal velocity obstacles for real-time multi-agent navigation. In: ICRA, pp. 1928–1935. IEEE (2008)

    Google Scholar 

  3. Chandak, A., Lauterbach, C., Taylor, M., Ren, Z., Manocha, D.: Ad-frustum: Adaptive frustum tracing for interactive sound propagation. IEEE TVCG 14(6), 1707–1722 (2008)

    Google Scholar 

  4. Chi, D., Costa, M., Zhao, L., Badler, N.: The emote model for effort and shape. In: SIGGRAPH 2000, pp. 173–182. ACM (2000)

    Google Scholar 

  5. Durupinar, F., Pelechano, N., Allbeck, J., Gudukbay, U., Badler, N.I.: How the ocean personality model affects the perception of crowds. IEEE CGA 31(3), 22–31 (2011)

    Google Scholar 

  6. Guy, S.J., Kim, S., Lin, M.C., Manocha, D.: Simulating heterogeneous crowd behaviors using personality trait theory. In: SCA 2011, pp. 43–52. ACM (2011)

    Google Scholar 

  7. Gygi, B., Kidd, G., Watson, C.: Similarity and categorization of environmental sounds. Attention, Perception, & Psychophysics 69(6), 839–855 (2007)

    Article  Google Scholar 

  8. Henry, J., Shum, H.P.H., Komura, T.: Environment-aware real-time crowd control. In: SCA 2012. ACM, New York (2012)

    Google Scholar 

  9. Kallmann, M.: Shortest paths with arbitrary clearance from navigation meshes. In: SCA 2010, pp. 159–168. Eurographics (2010)

    Google Scholar 

  10. Kapadia, M., Singh, S., Reinman, G., Faloutsos, P.: A behavior-authoring framework for multiactor simulations. IEEE CGA 31(6), 45–55 (2011)

    Google Scholar 

  11. Kapadia, M., Singh, S., Hewlett, W., Faloutsos, P.: Egocentric affordance fields in pedestrian steering. In: I3D, pp. 215–223. ACM (2009)

    Google Scholar 

  12. Kapadia, M., Wang, M., Singh, S., Reinman, G., Faloutsos, P.: Scenario space: characterizing coverage, quality, and failure of steering algorithms. In: SCA 2011, pp. 53–62 (2011)

    Google Scholar 

  13. Kovar, L., Gleicher, M., Pighin, F.: Motion graphs. In: SIGGRAPH 2002, pp. 473–482. ACM, New York (2002)

    Google Scholar 

  14. Kristiansen, U.: Viggen: Computational methods in acoustics (2010)

    Google Scholar 

  15. Laban, R.: The Mastery of Movement. Northcote House Publishers Ltd. (1971)

    Google Scholar 

  16. Lamarche, F., Donikian, S.: Crowd of virtual humans: a new approach for real time navigation in complex and structured environments. In: CGF 23 (2004)

    Google Scholar 

  17. Lerner, A., Chrysanthou, Y., Lischinski, D.: Crowds by Example. Computer Graphics Forum 26(3), 655–664 (2007)

    Article  Google Scholar 

  18. Likhachev, M., Ferguson, D.I., Gordon, G.J., Stentz, A., Thrun, S.: Anytime dynamic a*: An anytime, replanning algorithm. In: ICAPS, pp. 262–271 (2005)

    Google Scholar 

  19. Loyall, A.B., Bates, J., Mitchell, T.: Believable agents: Building interactive personalities. Tech. rep. (1997)

    Google Scholar 

  20. Mateas, M., Stern, A.: Facade: An experiment in building a fully-realized interactive drama. In: Game Developers Conference, GDC 2003 (2003)

    Google Scholar 

  21. McDonnell, R., Larkin, M., Dobbyn, S., Collins, S., O’Sullivan, C.: Clone attack! perception of crowd variety. In: SIGGRAPH 2008, pp. 26:1–26:8. ACM (2008)

    Google Scholar 

  22. Metoyer, R.A., Hodgins, J.K.: Reactive pedestrian path following from examples. In: CASA, vol. 20, pp. 149–156 (November 2003)

    Google Scholar 

  23. Mononen, M.: Recast: Navigation-mesh construction toolset for games (2009), http://code.google.com/p/recastnavigation/

  24. Paris, S., Pettré, J., Donikian, S.: Pedestrian reactive navigation for crowd simulation: a predictive approach. In: Eurographics, vol. 26, pp. 665–674 (2007)

    Google Scholar 

  25. Paul, R., Charles, D., McNeill, M., McSherry, D.: MIST: An Interactive Storytelling System with Variable Character Behavior. In: Aylett, R., Lim, M.Y., Louchart, S., Petta, P., Riedl, M. (eds.) ICIDS 2010. LNCS, vol. 6432, pp. 4–15. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  26. Pelechano, N., Allbeck, J.M., Badler, N.I.: Virtual Crowds: Methods, Simulation, and Control. Synthesis Lectures on Computer Graphics and Animation (2008)

    Google Scholar 

  27. Perlin, K., Goldberg, A.: Improv: a system for scripting interactive actors in virtual worlds. In: SIGGRAPH 1996, pp. 205–216. ACM, New York (1996)

    Google Scholar 

  28. Reynolds, C.W.: Flocks, herds and schools: A distributed behavioral model. In: SIGGRAPH 1987, pp. 25–34. ACM (1987)

    Google Scholar 

  29. Shapiro, A.: Building a Character Animation System. In: Allbeck, J.M., Faloutsos, P. (eds.) MIG 2011. LNCS, vol. 7060, pp. 98–109. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  30. Shoulson, A., Badler, N.I.: Event-Centric Control for Background Agents. In: Si, M., Thue, D., André, E., Lester, J.C., Tanenbaum, J., Zammitto, V. (eds.) ICIDS 2011. LNCS, vol. 7069, pp. 193–198. Springer, Heidelberg (2011)

    Google Scholar 

  31. Singh, S., Kapadia, M., Faloutsos, P., Reinman, G.: An Open Framework for Developing, Evaluating, and Sharing Steering Algorithms. In: Egges, A., Geraerts, R., Overmars, M. (eds.) MIG 2009. LNCS, vol. 5884, pp. 158–169. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  32. Singh, S., Kapadia, M., Hewlett, B., Reinman, G., Faloutsos, P.: A modular framework for adaptive agent-based steering. In: I3D, pp. 141–150. ACM (2011)

    Google Scholar 

  33. Singh, S., Kapadia, M., Reinman, G., Faloutsos, P.: Footstep navigation for dynamic crowds. CAVW 22(2-3), 151–158 (2011)

    Google Scholar 

  34. Sud, A., Gayle, R., Andersen, E., Guy, S., Lin, M., Manocha, D.: Real-time navigation of independent agents using adaptive roadmaps. In: VRST 2007, pp. 99–106 (2007)

    Google Scholar 

  35. Sung, M., Kovar, L., Gleicher, M.: Fast and accurate goal-directed motion synthesis for crowds. In: SCA 2005, pp. 291–300. ACM, New York (2005)

    Google Scholar 

  36. Thalmann, D.: Crowd simulation. In: Wiley Encyclopedia of Computer Science and Engineering (2008)

    Google Scholar 

  37. Torrens, P., Li, X., Griffin, W.A.: Building Agent-Based Walking Models by Machine-Learning on Diverse Databases of Space-Time Trajectory Samples. Transactions in GIS 15, 67–94 (2011)

    Article  Google Scholar 

  38. Vinayagamoorthy, V., Gillies, M., Steed, A., Tanguy, E., Pan, X., Loscos, C., Slater, M.: Building Expression into Virtual Characters. In: Eurographics STAR (2006)

    Google Scholar 

  39. Wiggins, J.S.: The Five-Factor Model of Personality: Theoretical Perspectives. The Guilford Press (1996)

    Google Scholar 

  40. Yu, Q., Terzopoulos, D.: A decision network framework for the behavioral animation of virtual humans. In: SCA 2007, pp. 119–128. Eurographics (2007)

    Google Scholar 

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Kapadia, M., Shoulson, A., Boatright, C.D., Huang, P., Durupinar, F., Badler, N.I. (2012). What’s Next? The New Era of Autonomous Virtual Humans. In: Kallmann, M., Bekris, K. (eds) Motion in Games. MIG 2012. Lecture Notes in Computer Science, vol 7660. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34710-8_16

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  • DOI: https://doi.org/10.1007/978-3-642-34710-8_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34709-2

  • Online ISBN: 978-3-642-34710-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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