Nothing Special   »   [go: up one dir, main page]

Skip to main content

Advertisement

Log in

Assessment of human perceptual sensitivity to physically non-conforming motion in virtual environments

  • Published:
The Journal of Supercomputing Aims and scope Submit manuscript

Abstract

Recent advances in neuroscience have shown that the neuropathological disorders are closely related with diseases such as Alzheimers. Those damages are particularly associated with the intermediate visual perceptual processing which can cause the motion perception defects and abnormal visuospatial functions in daily living of patients. In this paper, we propose virtual reality-based assessment tools for measuring human perceptual sensitivity to dynamic erroneous motions, particularly designed to assess possible early stage of brain damages and its associated visual dysfunctions. The main thrust of this paper is on perceptually tuned virtual reality system that can produce realistic natural behavior. The proposed method contains multiple assessment layers to check the awareness of erroneous motion in natural scenes at various severities. Our VR-based game-type environment provides an effective test bed for various dynamic motion-based perceptual sensitivity experiments. Our initial human subject tests show that game-based test environment produces more coherent and consistent data, preferable to survey-based methods.

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

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. Bro-Nielsen M (1996) Surgery simulation using fast finite elements. In: Proceedings of visualization in biomedical computing, pp 529–534

  2. Beer G, Smith I, Duenser C (2008) The boundary element method with programming: for engineers and scientists. Springer, Berlin

  3. Cotin S, Delingette H, Ayache N (2000) A hybrid elastic model for real-time cutting, deformations, and force feedback for surgery training and simulation. Vis Comput 16(7):437–452

    Article  MATH  Google Scholar 

  4. Kim J, Yoon S, Lee Y (2014) Trivariate B-spline approximation of spherical solid objects. J Inf Process Syst 10(1):23–35

  5. Jeon J, Choi M-H, Hong M (2012) Enhanced FFD-AABB collision algorithm for deformable objects. J Inf Process Syst 8(4):713–720

  6. O’Sullivan J, Dingliana T, Giang M, Kaiser K (2003) Evaluating the visual fidelity of physically based animations. ACM Trans Graph 22(3):527–536

    Article  Google Scholar 

  7. Riva G (1997) Virtual reality as assessment tool in psychology. Virtual reality in neuro-psycho-physiology, pp 71–80

  8. Theeuwes J, Kramer AF, Kingstone A (2004) Attentional capture modulates perceptual sensitivity. Psychon Bull Rev 11(3):551–554

    Article  Google Scholar 

  9. Kovcs I, Julesz B (1994) Perceptual sensitivity maps within globally defined visual shapes. Nature 370(6491):644–646

    Article  Google Scholar 

  10. Clement J (1982) Students’ preconceptions in introductory mechanics. Am J Phys 50(1):66–71

    Article  Google Scholar 

  11. Abraham S, Choi M-H (2011) Optimization of collision handling based on differential thresholds of human perception. In: Proceedings of international conference on computer graphics and virtual reality

  12. Choi M, Yu S, Pelak V (2011) Assessment of visual dysfunction using virtual reality game environment. J Future Game Technol 1(2):81–82

    Google Scholar 

  13. Popovic J, Seitz SM, Erdmann M, Witkin A (2000) Interactive manipulation of rigid body simulations. In: Proceedings of SIGGRAPH 2000, pp 209–218

  14. Popovic J, Seitz SM, Erdmann M (2003) Motion sketching for control of rigid body simulations. ACM Trans Graph 22(4):1034–1054

    Article  Google Scholar 

  15. James DL, Fatahalian K (2003) Precomputing interactive dynamic deformable scenes. In: Proceedings of SIGGRAPH 2003, pp 879–887

  16. Harvey LO Jr (1997) Efficient estimation of sensory thresholds with ML-PEST. Spat Vis 11(1):121–128

    Article  Google Scholar 

  17. Tetewsky SJ, Duffy CJ (1999) Visual loss and getting lost in Alzheimer’s disease. Neurology 52(5):958–965

    Article  Google Scholar 

  18. UNreal Development Kit (UDK) (2012). http://www.unrealengine.com

  19. Crane K, Llamas I, Tariq S (2007) Real-time simulation and rendering of 3D fluids. In: Nguyen H (ed.) GPU Gems 3. Addison-Wesley Professional

  20. Diener J, Reveret L, Fiume E (2006) Hierarchical retargetting of 2D motion fields to the animation of 3D plant models. In: Proceedings of the 2006 ACM SIGGRAPH/Eurographics symposium on computer, animation

  21. Van Haevre W, Di Fiore F, Van Reeth F (2006) Physically-based driven tree animations. In: Proceedings of Eurographics/ACM SIGGRAPH symposium on computer, animation

  22. Sechrest M, Maher M, Bordes J (2009) NVidia apex: high definition physics with clothing and vegetation. In: Game developer conference

  23. Twigg CD, James DL (2007) Many-worlds browsing for control of multibody dynamics. ACM Trans Graph 26(3):14.1–14.8

  24. Jeon H, Choi MH (2007) Controllable simulation of deformable objects using heuristic optimal control. J Geom Graph 2(1):59–71

    Google Scholar 

  25. Cotin S, Delingette H, Clement J, Soler L, Ayache N, Marescaux J (1996) Geometrical and physical representation for a simulator of hepatic surgery. In: Proceedings of medicine meets virtual reality IV

  26. Posner MI (1980) Orienting of attention. Q J Exp Psychol 32(1):325

    Article  Google Scholar 

  27. Walter H (1995) Ehrenstein and Addie Ehrenstein psychophysical methods. Psychology Software News, vol. 5, Chapter 43

  28. Ihm S-Y, Lee K-E, Nasridinov A, Huh J-S, Park Y-H (2014) Approximate convex skyline: a partitioned layer-based index for efficient processing top-k queries. Knowledge-Based Syst 61:13–28

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Min Hong.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Choi, MH., Alquzi, M.B. & Hong, M. Assessment of human perceptual sensitivity to physically non-conforming motion in virtual environments. J Supercomput 69, 1311–1323 (2014). https://doi.org/10.1007/s11227-014-1169-y

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11227-014-1169-y

Keywords

Navigation