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research-article

The role of the visual environment on characteristics of over-ground locomotion in natural and virtual environments

Published: 01 January 2023 Publication History

Highlights

Individuals walk more slowly and spend more time with both feet on the ground in VR compared to the real world.
Spatiotemporal characteristics of gait are more variable in VR than in the real world.
Environmental characteristics such as hallway width also have a subtle effect on gait characteristics.
Performance differences must be considered when using VR for applications such as assessment and training.

Abstract

Recent studies have suggested fundamental differences in the way that visual information is processed in virtual environments when compared to natural environments. To better understand these differences, we asked 20 young adults to walk in a real hallway featuring a mobile wall, which allowed three hallway width conditions: narrow (1.14 m), medium (1.31 m) and wide (1.48 m). A separate group of 21 young adults walked in a virtual hallway that closely replicated the real hallway. We were interested in determining (1) whether gait parameters and their variability would be similar between the natural and virtual environments, (2) whether visual information about the width of the hallway would affect gait performance in the two environments, and (3) whether the influence of hallway width would be similar in both environments. We hypothesized that because visual processing is fundamentally different in natural and virtual environments, spatiotemporal gait parameters would also be different in the two environments. Further, we hypothesized that gait and gait variability would be differentially affected by the manipulation of hallway width in the natural and virtual environments. Results indicated participants in the VR environment walked with decreased cadence, spent more time with both feet on the ground, and walked with more variability than participants in the natural environment. Further, several subtle but important differences were found regarding the effect of hallway width on gait in the two environments. In particular, the width of the hallway differentially affected cadence and normalized gait velocity between the real world and VR. These fundamental differences indicate more cautious gait in VR and could have significant implications when we consider how and when we use VR for rehabilitation, training and assessment.

References

[1]
T. Banton, J. Stefanucci, F. Durgin, A. Fass, D. Proffitt, The perception of walking speed in a virtual environment, Presence 14 (2005) 394–406,.
[2]
C. Boletsis, The new era of virtual reality locomotion: a systematic literature review of techniques and a proposed typology, Multimodal Technol. Interact. 1 (2017) 24,.
[3]
D. Bowman, E. Kruijff, J.J.L. Jr, I.P. Poupyrev, 3D User Interfaces: Theory and Practice, CourseSmart eTextbook, Addison-Wesley, 2004.
[4]
G. Bruder, P. Lubos, F. Steinicke, Cognitive resource demands of redirected walking, IEEE Trans. Vis. Comput. Graph. 21 (4) (2015) 539–544.
[5]
J.L. Campos, H.H. Bülthoff, Multimodal integration during self-motion in virtual reality, in: Murray M.M., Wallace M.T. (Eds.), The Neural Bases of Multisensory Processes, Frontiers in Neuroscience, CRC Press/Taylor & Francis, Boca RatonFL, 2012.
[6]
M. Caramenti, C.L. Lafortuna, E. Mugellini, O.A. Khaled, J.-P. Bresciani, A. Dubois, Matching optical flow to motor speed in virtual reality while running on a treadmill, PLoS One 13 (2018),.
[7]
I.J. de Rooij, I.G. van de Port, M. Punt, P.J. Abbink-van Moorsel, M. Kortsmit, R.P. van Eijk, J.M.A. Visser-Meily, J.W.G. Meijer, Effect of virtual reality gait training on participation in survivors of subacute stroke: a randomized controlled trial, Phys. Ther. 101 (5) (2021) pzab051.
[8]
K. De Smet, P. Malcolm, M. Lenoir, V. Segers, D. De Clercq, Effects of optic flow on spontaneous overground walk-to-run transition, Exp. Brain Res. 193 (2009) 501–508,.
[9]
A.S. Eadie, L.S. Gray, P. Carlin, M. Mon-Williams, Modelling adaptation effects in vergence and accommodation after exposure to a simulated Virtual Reality stimulus, Ophthalmic Physiol. Opt. 20 (2000) 242–251,.
[10]
F. El Jamiy, R. Marsh, Distance estimation in virtual reality and augmented reality: a survey, in: 2019 IEEE International Conference on Electro Information Technology (EIT), IEEE, 2019, pp. 063–068.
[11]
L.J. Elias, M.P. Bryden, M.B. Bulman-Fleming, Footedness is a better predictor than is handedness of emotional lateralization, Neuropsychologia 36 (1998) 37–43,.
[12]
V. Gade, R. Gallagher, I.M.C.P.J.E. Deutsch, Path width, path difficulty and optic flow differentially affect young, older adults and individuals post-stroke in a virtual cycling environment, in: 2013 International Conference on Virtual Rehabilitation (ICVR). Presented at the 2013 International Conference on Virtual Rehabilitation (ICVR), 2013, pp. 177–182,.
[13]
A.M. Gentile, A working model of skill acquisition with application to teaching, Quest 17 (1972) 3–23,.
[14]
J.J. Gibson, The Ecological Approach to Visual Perception: Classic Edition, Psychology Press, New York, 2014,.
[15]
S.T. Godley, T.J. Triggs, B.N. Fildes, Perceptual lane width, wide perceptual road centre markings and driving speeds, Ergonomics 47 (2004) 237–256,.
[16]
M. Gonzalez-Franco, P. Abtahi, A. Steed, Individual differences in embodied distance estimation in virtual reality, in: 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), IEEE, 2019, pp. 941–943.
[17]
D.J. Harris, G. Buckingham, M.R. Wilson, S.J. Vine, Virtually the same? How impaired sensory information in virtual reality may disrupt vision for action, Exp. Brain Res. 237 (2019) 2761–2766,.
[18]
J.M. Hausdorff, Gait variability: methods, modeling and meaning, J. NeuroEng. Rehab. 2 (2005) 19,.
[19]
M. Heim, Virtual Realism, Oxford University Press, 2000.
[20]
I Hillel, E Gazit, A Nieuwboer, L Avanzino, L Rochester, A Cereatti, UD Croce, MO Rikkert, BR Bloem, E Pelosin, S Del Din, P Ginis, N Giladi, A Mirelman, JM. Hausdorff, Is every-day walking in older adults more analogous to dual-task walking or to usual walking? Elucidating the gaps between gait performance in the lab and during 24/7 monitoring, Eur. Rev. Aging Phys. Act. 16 (2019) 6,. PMID: 31073340; PMCID: PMC6498572.
[21]
JH Hollman, RH Brey, RA Robb, TJ Bang, KR. Kaufman, Spatiotemporal gait deviations in a virtual reality environment, Gait Posture 23 (4) (2006) 441–444,. Epub 2005 Aug 10. PMID: 16095905.
[22]
JH Hollman, RH Brey, TJ Bang, KR. Kaufman, Does walking in a virtual environment induce unstable gait? An examination of vertical ground reaction forces, Gait Posture 26 (2) (2007) 289–294,. Epub 2006 Oct 23. PMID: 17056258.
[23]
J.H. Hollman, M.K. Watkins, A.C. Imhoff, C.E. Braun, K.A. Akervik, D.K. Ness, A comparison of variability in spatiotemporal gait parameters between treadmill and overground walking conditions, Gait Posture 43 (2016) 204–209,.
[24]
M. Hoppe, J. Karolus, F. Dietz, P.W. Wozniak, A. Schmidt, T.K. Machulla, VRsneaky: increasing presence in VR through gait-aware auditory feedback, in: CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, May 2019, 546, 2019, pp. 1–9,. Paper No.
[25]
B Horsak, M Simonlehner, L Schöffer, B Dumphart, A Jalaeefar, M. Husinsky, Overground walking in a fully immersive virtual reality: a comprehensive study on the effects on full-body walking biomechanics, Front. Bioeng. Biotechnol. 9 (2021),. Dec 3PMID: 34957075; PMCID: PMC8693458.
[26]
M.C. Howard, Investigating the simulation elements of environment and control: Extending the uncanny valley theory to simulations, Comput. Educ. 109 (2017) 216–232.
[27]
D.C. Howell, Statistical Methods for Psychology, 8th ed., Cengage Learning, Boston, MA, 2013.
[28]
O. Janeh, E. Langbehn, F. Steinicke, G. Bruder, A. Bulberti, M. Poetter-Nerger, Walking in virtual reality, ACM Trans. Appl. Percept. 14 (2017) 1–15,.
[29]
S. Kajita, K. Kaneko, K. Harada, F. Kanehiro, K. Fujiwara, H. Hirukawa, Biped walking on a low friction floor, in: 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566), 4, 2004, pp. 3546–3552,.
[30]
L. Kassler, J. Feasel, M.D. Lewek, F.P. Brooks, M.C. Whitton, Matching actual treadmill walking speed and visually perceived walking speed in a projection virtual environment, in: Proceedings of the 7th Symposium on Applied Perception in Graphics and Visualization, APGV ’10, Association for Computing Machinery, New York, NY, USA, 2010, p. 161,.
[31]
L.K. Kenyon, M.T. Blackinton, Applying motor-control theory to physical therapy practice: a case report, Physiother. Can. 63 (2011) 345–354,.
[32]
V. Klymenko, C.E. Rash, Human Factors Evaluation of Visual Field-of-View Effects of Partial Binocular Overall Designs in Helmet-Mounted Displays, AHS Annual Forum, Fort Worth, TX, 1995.
[33]
S. Ko, G.J. Jerome, E.M. Simonsick, S. Studenski, J.M. Hausdorff, L. Ferrucci, Differential associations between dual-task walking abilities and usual gait patterns in healthy older adults—results from the Baltimore Longitudinal Study of Aging, Gait Posture 63 (2018) 63–67,.
[34]
L. Li, J. Chen, Relative contributions of optic flow, bearing, and splay angle information to lane keeping, J. Vis. 10 (2010) 16,.
[35]
T. Liu, H. Zhou, Y. Du, J. Zhang, J. Zhao, Y. Li, A brief review on robotic floor-tiling, in: IECON 2018-44th Annual Conference of the IEEE Industrial Electronics Society, IEEE, 2018, pp. 5583–5588.
[36]
R.A. Magill, D. Anderson, Motor Learning and Control: Concepts and Applications, 12th ed., McGraw-Hill Education, 2021.
[37]
B.E. Maki, Gait changes in older adults: predictors of falls or indicators of fear?, J. Am. Geriatr. Soc. 45 (3) (2015) 313–320,.
[38]
B. Maraj, F. Allard, D. Elliott, The effect of nonregulatory stimuli on the triple jump approach run, Res. Q. Exerc. Sport 69 (1998) 129–135,.
[39]
D. Martelli, B. Xia, A. Prado, S.K. Agrawal, Gait adaptations during overground walking and multidirectional oscillations of the visual field in a virtual reality headset, Gait Posture 67 (2019) 251–256,.
[40]
S. Miller, Workload Measures, The University of Iowa, National Advanced Driving Simulator, Iowa City, IA, 2001.
[41]
M. Mon-Williams, J.R. Tresilian, R.D. McIntosh, D.A. Milner, Monocular and binocular distance cues: insights from visual form agnosia I (of III), Exp. Brain Res. 139 (2001) 127–136,.
[42]
H. Myers, Hospital fall risk assessment tools: a critique of the literature, Int. J. Nurs. Pract. 9 (2003) 223–235.
[43]
N.C. Nilsson, T. Peck, G. Bruder, E. Hodgson, S. Serafin, M. Whitton, F. Steinicke, E.S. Rosenberg, 15 years of research on redirected walking in immersive virtual environments, IEEE Comput. Graph. Appl. 38 (2018) 44–56,.
[44]
R.C. Oldfield, The assessment and analysis of handedness: the Edinburgh inventory, Neuropsychologia 9 (1971) 97–113,.
[45]
R.S. Overbeck, D. Erickson, D. Evangelakos, M. Pharr, P. Debevec, A system for acquiring, processing, and rendering panoramic light fields still for virtual reality, ACM Trans. Graph. 37 (6) (2018) 1–15,.
[46]
A. Peer, P. Ullrich, K. Ponto, Vive tracking alignment and correction made easy, in: 2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), IEEE, 2018, pp. 653–654.
[47]
T.C. Peck, H. Fuchs, M.C. Whitton, The design and evaluation of a large-scale real-walking locomotion interface, IEEE Trans. Vis. Comput. Graph. 18 (2012) 1053–1067,.
[48]
T. Perrin, H.A. Kerhervé, C. Faure, A. Sorel, B. Bideau, R. Kulpa, Enactive approach to assess perceived speed error during walking and running in virtual reality, in: 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 2019, pp. 622–629,.
[49]
L. Phillips, B. Ries, V. Interrante, M. Kaeding, L. Anderson, Distance perception in NPR immersive virtual environments, revisited, in: Proceedings of the 6th Symposium on Applied Perception in Graphics and Visualization, 2009, pp. 11–14.
[50]
W. Powell, B. Stevens, S. Hand, M. Simmonds, Blurring the boundaries: the perception of visual gain in treadmill-mediated virtual environments, in: 3rd IEEE VR 2011 Workshop on Perceptual Illusions in Virtual Environments, 2011.
[51]
S. Razzaque, Redirected Walking, The University of North Carolina at Chapel Hill, 2005.
[52]
R.S. Renner, B.M. Velichkovsky, J.R. Helmert, The perception of egocentric distances in virtual environments-a review, ACM Comput. Surv. 46 (2) (2013) 1–40.
[53]
T. Rose, C.S. Nam, K.B. Chen, Immersion of virtual reality for rehabilitation - review, Appl. Ergon. 69 (2018) 153–161,.
[54]
R.A. Ruddle, S. Lessels, The benefits of using a walking interface to navigate virtual environments, ACM Trans. Comput. Hum. Interact. 5 (1–5) (2009) 18,.
[55]
M. Slater, M.V. Sanchez-Vives, Enhancing our lives with immersive virtual reality, Front. Robot. AI 3 (2016).
[56]
M. Slater, M. Usoh, A. Steed, Taking steps: the influence of a walking technique on presence in virtual reality, ACM Trans. Comput. Hum. Interact. 2 (1995) 201–219,.
[57]
S. Springer, N. Giladi, C. Peretz, G. Yogev, E.S. Simon, J.M. Hausdorff, Dual-tasking effects on gait variability: the role of aging, falls, and executive function, Mov. Disord. 21 (7) (2006) 950–957,.
[58]
Stavar, A., Dascalu, L.M., Talaba, D. (2011). Design, test and experimental validation of a VR treadmill walking compensation device. In: Camarinha-Matos, L.M. (eds) Technological Innovation for Sustainability. DoCEIS 2011. IFIP Advances in Information and Communication Technology, vol 349. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19170-1_44.
[59]
F. Steinicke, G. Bruder, K. Hinrichs, M. Lappe, B. Ries, V. Interrante, Transitional environments enhance distance perception in immersive virtual reality systems, in: Proceedings of the 6th Symposium on Applied Perception in Graphics and Visualization, 2009, pp. 19–26.
[60]
W.B. Thompson, P. Willemsen, A.A. Gooch, S.H. Creem-Regehr, J.M. Loomis, A.C. Beall, Does the quality of the computer graphics matter when judging distances in visually immersive environments?, Presence 13 (5) (2004) 560–571.
[61]
E.L. Thorndike, L. Edward, Educational Psychology: Briefer Course, Teachers College, Columbia University, New York, 1921.
[62]
M. Toepfer, A. Padilla, K. Ponto, A.H. Mason, K.A. Pickett, The effects of systematic environmental manipulation on gait of older adults, Healthcare 8 (2020) 386,.
[63]
K.A. Turano, A.T. Broman, K. Bandeen-Roche, B. Munoz, Gary Rubin, S.K. West, the See Project Team, Association of visual field loss and mobility performance in older adults: salisbury eye evaluation study, Optom. Vis. Sci. 81 (5) (2004) 298–307.
[64]
P. Vansteenkiste, G. Cardon, E. D'Hondt, R. Philippaerts, M. Lenoir, The visual control of bicycle steering: the effects of speed and path width, Accid. Anal. Prevent. 51 (2013) 222–227,.
[65]
P. Willemsen, A.A. Gooch, Perceived egocentric distances in real, image-based, and traditional virtual environments, in: Proceedings IEEE Virtual Reality Conference, Orlando, FL, 2002, pp. 89–90.
[66]
C. Winter, F. Kern, D. Gall, M.E. Latoschik, P. Pauli, I. Käthner, Immersive virtual reality during gait rehabilitation increases walking speed and motivation: a usability evaluation with healthy participants and patients with multiple sclerosis and stroke, J. Neuroeng. Rehab. 18 (1) (2021) 1–14.
[67]
B. Zhang, D. Li, Y. Liu, J. Wang, Q. Xiao, Virtual reality for limb motor function, balance, gait, cognition and daily function of stroke patients: a systematic review and meta-analysis, J. Adv. Nurs. 77 (8) (2021) 3255–3273.

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          Published In

          cover image International Journal of Human-Computer Studies
          International Journal of Human-Computer Studies  Volume 169, Issue C
          Jan 2023
          136 pages

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          Academic Press, Inc.

          United States

          Publication History

          Published: 01 January 2023

          Author Tags

          1. Gait
          2. Visual information
          3. Virtual reality
          4. Motor transfer
          5. Kinematic

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