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Kyriakou, Marios; Pan, Xueni; Chrysanthou, Yiorgos (2016)
Publisher: Wiley
Languages: English
Types: Article
Subjects:
This study examines attributes of virtual human behavior that may increase the plausibility of a simulated crowd and affect the user's experience in Virtual Reality. Purpose-developed experiments in both Immersive and semi-Immersive Virtual Reality systems queried the impact of collision and basic interaction between real-users and the virtual crowd and their effect on the apparent realism and ease of navigation within Virtual Reality (VR). Participants' behavior and subjective measurements indicated that facilitating collision avoidance between the user and the virtual crowd makes the virtual characters, the environment, and the whole Virtual Reality system appear more realistic and lifelike. Adding basic social interaction, such as verbal salutations, gaze, and other gestures by the virtual characters towards the user, further contributes to this effect, with the participants reporting a stronger sense of presence. On the other hand, enabling collision avoidance on its own produces a reduced feeling of comfort and ease of navigation in VR. Objective measurements showed another interesting finding that collision avoidance may reduce the user's performance regarding their primary goal (navigating in VR following someone) and that this performance is further reduced when both collision avoidance and social interaction are facilitated.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [1] [2] [3] [4] [5] [6] [7] [8] [9] X. Pan, M. Gillies, C. Barker, D. M. Clark, and M. Slater, “Socially anxious and confident men interact with a forward virtual woman: an experimental study.,” PLoS One, vol. 7, no. 4, p. e32931, Jan. 2012.
    • D. Pertaub, M. Slater, and C. Barker, “An experiment on public speaking anxiety in response to three different types of virtual audience,” Presence Teleoperators Virtual Environments, vol. 11, no. 1, pp. 68-78, 2002.
    • 191, no. 8, pp. 509-514, 2003.
    • Series B, Biological Sciences, vol. 364, no. 1535, pp. 3549-57, Dec. 2009.
    • J. N. Bailenson, J. Blascovich, A. C. Beall, and J. M. Loomis, “Equilibrium Theory Revisited: Mutual Gaze and Personal Space in Virtual Environments,” Presence: Teleoperators and Virtual Environments, vol. 10, no. 6. pp. 583-598, 2001.
    • L. M. Wilcox, R. S. Allison, S. Elfassy, and C. Grelik, “Personal space in virtual reality,” ACM Transactions on Applied Perception, vol. 3, no. 4, pp. 412-428, 2006.
    • J. Llobera, B. Spanlang, G. Ruffini, and M. Slater, “Proxemics with Multiple Dynamic Characters in an Immersive Virtual Environment,” ACM Transactions on Applied Perception, vol. 8, no. 1, pp. 1-12, 2010.
    • J. N. Bailenson, J. Blascovich, A. C. Beall, and J. M. Loomis, “Interpersonal distance in immersive virtual environments.,” Personality and Social Psychology Bulletin, vol. 29, no. 7, pp. 819-833, 2003.
    • J. Bruneau, A.-H. Olivier, J. Pettré, J. Pettre, and J. Bruneau, “Going through, going around: a study on individual avoidance of groups,” IEEE Transactions on Visualization and Computer Graphics, vol. 21, no. 4, pp. 520-528, 2015.
    • [10] C. Peters and C. Ennis, “Modeling groups of plausible virtual pedestrians.,” IEEE Computer Graphics and Applications, vol. 29, no. 4, pp. 54-63, 2009.
    • [11] R. McDonnell, C. Ennis, S. Dobbyn, and C. O'Sullivan, “Talking bodies: Sensitivity to desynchronization of conversations,” ACM Transactions on Applied Perception, vol. 6, no. 4, pp. 1-8, 2009.
    • [12] C. Ennis, R. McDonnell, and C. O'Sullivan, “Seeing is believing: body motion dominates in multisensory conversations,”ACM Transactions on Graphics, 2010.
    • [13] S. Huerre, J. Lee, M. Lin, and C. O'Sullivan, “Simulating believable crowd and group behaviors,” ACM SIGGRAPH ASIA 2010 Courses, pp. 1-92, 2010.
    • [14] C. Ennis, C. Peters, and C. O'Sullivan, “Perceptual effects of scene context and viewpoint for virtual pedestrian crowds,” ACM Transactions on Applied Perception, vol. 8, no. 2, p. 10, 2011.
    • [15] F. Friedmann, T. Schubert, and H. Regenbrecht, “The Experience of Presence: Factor Analytic Insights,” Presence: Teleoperators and Virtual Environments, vol. 10, no. 3. pp. 266-281, 2001.
    • [16] M. Garau, D. Friedman, H. Ritter Widenfeld, A. Antley, A. Brogni, and M. Slater, “Temporal and Spatial Variations in Presence: Qualitative Analysis of Interviews from an Experiment on Breaks in Presence,” Presence Teleoperators Virtual Environments, [17] M. Slater, B. Lotto, M. M. Arnold, and M. V Sanchez-vives, “How we experience immersive virtual environments : the concept of presence and its measurement *,” Anuario de Psicologia, vol. 40, no. 2773, pp. 193-210, 2009.
    • 15, no. 5, pp. 553-569, Oct. 2006.
    • [19] N. Pelechano and C. Stocker, “Being a part of the crowd: towards validating VR crowds using presence,” In Proceedings of the 7th international joint conference on Autonomous agents and mulitagent systems, vol. 1, no. Aamas, pp. 12-16, 2008.
    • [20] J. Ahn, N. Wang, D. Thalmann, and R. Boulic, “Within-Crowd Immersive Evaluation of Collision Avoidance Behaviors,” in VRCAI, 2012, pp. 231-238.
    • [21] D. Thalmann and S. R. Musse, “Crowd Simulation,” Springer, 2007.
    • [22] D. Thalmann, H. Grillon, J. Maim, and B. Yersin, “Challenges in Crowd Simulation,” 2009 International conference CyberWorlds, pp. 1-12, 2009.
    • [23] F. A. Sanz and L. Anatole, “Virtual Proxemics : Locomotion in the Presence of Obstacles in Large Immersive Projection Environments.” 2015 IEEE Virtual Reality (VR). IEEE, 2015.
    • [24] M. Kyriakou, X. Pan, and Y. Chrysanthou, “Interaction with virtual agents - Comparison of the participants' experience between an IVR and a semi-IVR system,” 2015 IEEE Virtual Reality (VR). IEEE, 2015.
    • [25] D. W. Martin, Doing psychology experiments. Cengage Learning, 2008.
    • [26] C. Cruz-Neira, D. J. Sandin, T. A. DeFanti, R. V. Kenyon, and J. C. Hart, “The CAVE: audio visual experience automatic virtual environment,” Communications of the ACM, vol. 35, no. 6. pp. 64-72, 1992.
    • [27] J. Smisek, M. Jancosek, and T. Pajdla, “3D with Kinect,” 2011 IEEE International Conferenence on Computer Vision Workshops (ICCV Workshops), pp. 1154-1160, 2011.
    • [28] B. G. Witmer and M. J. Singer, “Measuring presence in virtual environments: A presence questionnaire,” Presence Teleoperators virtual Environments, vol. 7, no. 3, pp. 225-240, 1998.
    • [29] W. A. IJsselsteijn, “Presence: concept, determinants, and measurement,” Proceedings of SPIE, vol. 31, no. 0, pp. 520-529, 2000.
    • [30] K. Stanney, G. Salvendy, J. Deisinger, P. DiZio, S. Ellis, J. Ellison, G. Fogleman, J. Gallimore, M. Singer, L. Hettinger, R. Kennedy, J. Lackner, B. Lawson, J. Maida, A. Mead, M. Mon-Williams, D. Newman, T. Piantanida, L. Reeves, O. Riedel, T. Stoffregen, J. Wann, R. Welch, J. Wilson, and B. Witmer, “Aftereffects and sense of presence in virtual environments: Formulation of a research and development agenda,” International Journal of Human-Computer Interaction, vol. 10, no. 2, pp. 135-187, 1998.
    • [31] R. S. Kalawsky, S. T. Bee, and S. P. Nee, “Human Factors Evaluation Techniques to Aid Understanding of Virtual Interfaces,” BT Technology Journal, no. December, pp. 1-17, 1998.
    • [32] D. W. Schloerb, “A quantitative measure of telepresence,” Presence Teleoperators Virtual Environ., vol. 4, no. 1, pp. 64-80, 1995.
  • Inferred research data

    The results below are discovered through our pilot algorithms. Let us know how we are doing!

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