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Going the distance and beyond: simulated low vision increases perception of distance traveled during locomotion

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Abstract

In a series of experiments, we tested the hypothesis that severely degraded viewing conditions during locomotion distort the perception of distance traveled. Some research suggests that there is little-to-no systematic error in perceiving closer distances from a static viewpoint with severely degraded acuity and contrast sensitivity (which we will refer to as blur). However, several related areas of research—extending across domains of perception, attention, and spatial learning—suggest that degraded acuity and contrast sensitivity would affect estimates of distance traveled during locomotion. In a first experiment, we measured estimations of distance traveled in a real-world locomotion task and found that distances were overestimated with blur compared to normal vision using two measures: verbal reports and visual matching (Experiments 1 a, b, and c). In Experiment 2, participants indicated their estimate of the length of a previously traveled path by actively walking an equivalent distance in a viewing condition that either matched their initial path (e.g., blur/blur) or did not match (e.g., blur/normal). Overestimation in blur was found only when participants learned the path in blur and made estimates in normal vision (not in matched blur learning/judgment trials), further suggesting a reliance on dynamic visual information in estimates of distance traveled. In Experiment 3, we found evidence that perception of speed is similarly affected by the blur vision condition, showing an overestimation in perception of speed experienced in wheelchair locomotion during blur compared to normal vision. Taken together, our results demonstrate that severely degraded acuity and contrast sensitivity may increase people’s tendency to overestimate perception of distance traveled, perhaps because of an increased perception of speed of self-motion.

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Notes

  1. These results contrast with on-average accurate dynamic updating of distance when walking without vision after static viewing—often referred to as blind walking (Loomis, Silva, Fujita, & Fukusima, 1992; Rieser, Ashmead, Taylor, & Youngquist, 1990)—which may be due to the typically shorter distances used, or the nature of the explicit visually-directed walking task to a known target.

  2. Here, the overestimation in blur occurred only after estimates were made with normal vision. It could be that those who walked with blur first learned that visual information was unreliable and weighted body-based cues for distance traveled more heavily, leading to more accurate judgments. This effect is consistent with the general finding that distance estimates after walking without vision are more accurate than when vision is added (e.g., Sun, Campos, Young, Chan, & Ellard, 2004).

References

  • Barhorst-Cates, E. M., Rand, K. M., & Creem-Regehr, S. H. (2017). Let me be your guide: physical guidance improves spatial learning for older adults with simulated low vision. Experimental Brain Research, 235(11), 3307–3317.

    Article  PubMed  Google Scholar 

  • Bochsler, T. M., Legge, G. E., Gage, R., & Kallie, C. S. (2013). Recognition of ramps and steps by people with low vision. Investigative Ophthalmology & Visual Science, 54(1), 288–294.

    Article  Google Scholar 

  • Bremmer, F., & Lappe, M. (1999). The use of optical velocities for distance discrimination and reproduction during visually simulated self motion. Experimental Brain Research, 127, 33–42.

    Article  PubMed  Google Scholar 

  • Campos, J. L., Butler, B. C., & Bülthoff, H. H. (2012). Multisensory integration in the estimation of walked distances. Experimental Brain Research, 218(4), 551–565.

    Article  PubMed  Google Scholar 

  • Campos, J. L., Byrne, P., & Sun, H. J. (2010). The brain weights body-based cues higher than vision when estimating walked distances. European Journal of Neuroscience, 31(10), 1889–1898.

    Article  PubMed  Google Scholar 

  • Frenz, H., Bremmer, F., & Lappe, M. (2003). Discrimination of travel distances from `situated’ optic flow. Vision Research, 43, 2173–2183.

    Article  PubMed  Google Scholar 

  • Frenz, H., & Lappe, M. (2005). Absolute travel distance from optic flow. Vision Research, 45, 1679–1692.

    Article  PubMed  Google Scholar 

  • Frenz, H., Lappe, M., Kolesnik, M., & Bülhrmann, T. (2007). Estimation of travel distance from visual motion in virtual environments. ACM Transactions on Applied Perception, 4(1), 1–18.

    Article  Google Scholar 

  • Gibson, J. J. (1950). The perception of visual surfaces. American Journal of Psychology, 63, 367–384.

    Article  PubMed  Google Scholar 

  • Glasauer, S., Schneider, E., Grasso, R., & Ivanenko, aY. P. (2007). Space-time relativity in self-motion reproduction. Journal of Neurophysiology, 97, 451–461.

    Article  PubMed  Google Scholar 

  • Glasauer, S., Stein, A., Günther, A. L., Flanagin, V. L., Jahn, K., & Brandt, T. (2009). The effect of dual tasks in locomotor path integration. Annals of the New York Academy of Sciences, 1164(1), 201–205.

    Article  PubMed  Google Scholar 

  • Harris, L. R., Herpers, R., Jenkin, M., Allison, R. S., Jenkin, H., Kapralos, B., Felsner, S. (2012). The relative contributions of radial and laminar optic flow to the perception of linear self-motion Harris et al. Journal of Vision, 12(10), 7–7.

    Article  PubMed  Google Scholar 

  • Kalia, A. A., Schrater, P. R., & Legge, G. E. (2013). Combining path integration and remembered landmarks when navigating without vision. PLoS ONE, 8(9), e72170.

  • Kuyk, T., & Elliott, J. L. (1999). Visual factors and mobility in persons with age-related macular degeneration. Journal of Rehabilitation Research and Development, 36(4), 303–312.

    PubMed  Google Scholar 

  • Lappe, M., Jenkin, M., & Harris, L. R. (2007). Travel distance estimation from visual motion by leaky path integration. Experimental Brain Research, 180(1), 35–48.

    Article  PubMed  Google Scholar 

  • Lappin, J. S., Shelton, A. L., & Rieser, J. J. (2006). Environmental context influences visually perceived distance. Perception & Psychophysics, 68(4), 571–581.

    Article  Google Scholar 

  • Larish, J. F., & Flach, J. M. (1990). Sources of optical information useful for perception of speed of rectilinear self-motion. Journal of Experimental Psychology: Human Perception and Performance, 16(2), 295.

    PubMed  Google Scholar 

  • Lee, D. N. (1976). A theory of visual control of braking based on information about time-to-collision. Perception, 5, 437–459.

    Article  PubMed  Google Scholar 

  • Legge, G. E., Gage, R., Baek, Y., & Bochsler, T. M. (2016). Indoor spatial updating with reduced visual information. PLoS One, 11(3), e0150708. https://doi.org/10.1371/journalpone.0150708.

    Article  PubMed  PubMed Central  Google Scholar 

  • Loomis, J. M., Silva, J. A. D., Fujita, N., & Fukusima, S. S. (1992). Visual space perception and visually directed action. Journal of Experimental Psychology: Human Perception and Performance, 18(4), 906–921.

    PubMed  Google Scholar 

  • Magel, S. G., & Sadalla, E. K. (1980). The perception of traversed distance. Environment and Behavior, 12(1), 65–79.

    Article  Google Scholar 

  • Mittelstaedt, M.-L., & Mittelstaedt, H. (2001). Idiothetic navigation in humans: estimation of path length. Experimental Brain Research, 139(3), 318–332.

    Article  PubMed  Google Scholar 

  • Mohler, B. J., Thompson, W. B., Creem-Regehr, S. H., Pick, H. L. Jr., & Warren, W. H. (2007). Visual flow influences gain transition speed and preferred walking speed. Experimental Brain Research, 181(2), 221–228.

    Article  PubMed  Google Scholar 

  • Mohler, B. J., Thompson, W. B., Creem-Regehr, S. H., Willemsen, P., Pick, H. L. Jr., & Rieser, J. J. (2007). Calibration of locomotion resulting from visual motion in a treadmill-based virtual environment. ACM Transactions on Applied Perception, 4(1), 1–15.

    Article  Google Scholar 

  • Pelli, D. G. (1987). The visual requirements of mobility. Low vision: principles and applications, (pp. 134–146).

  • Pretto, P., & Chatziastros, A. (2006). Changes in optic flow and scene contrast affect the driving speed Driving Simulation Conference Europe, (pp. 263–272).

  • Rand, K. M., Barhorst-Cates, E. M., & Creem-Regehr, S. H. (2016). Overestimation of distance traveled with degraded vision: Evidence from walking and wheeling. Poster presented at Spatial Cognition 2016, Philadelphia.

  • Rand, K. M., Creem-Regehr, S. H., & Thompson, W. B. (2015). Spatial learning while navigating with severely degraded viewing: The role of attention and mobility monitoring. Journal of Experimental Psychology: Human Perception & Performance, 41(3), 649–664.

    Google Scholar 

  • Rand, K. M., Tarampi, M. R., Creem-Regehr, S. H., & Thompson, W. B. (2011). The importance of a visual horizon for distance judgments under severely degraded vision. Perception, 40, 143–154.

    Article  PubMed  PubMed Central  Google Scholar 

  • Rand, K. M., Tarampi, M. R., Creem-Regehr, S. H., & Thompson, W. B. (2012). The influence of ground contact and visible horizon on perception of distance and size under severely degraded vision. Seeing and perceiving, 25(5), 425–447.

    Article  PubMed  PubMed Central  Google Scholar 

  • Redlick, F. P., Jenkin, M., & Harris, L. R. (2001). Humans can use optic flow to estimate distance of travel. Vision Research, 41, 213–219.

    Article  PubMed  Google Scholar 

  • Rieser, J. J., Ashmead, D. H., Taylor, C. R., & Youngquist, G. A. (1990). Visual perception and the guidance of locomotion without vision to previously seen targets. Perception, 19, 675–689.

    Article  PubMed  Google Scholar 

  • Sargent, J. Q., Zacks, J. M., Philbeck, J. W., & Flores, S. (2013). Distraction shrinks space. Memory & Cognition, 41(5), 769–780.

    Article  Google Scholar 

  • Snowden, R. J., Stimpson, N., & Ruddle, R. A. (1998). Speed perception fogs up as visibility drops. Nature, 392(6675), 450.

    Article  PubMed  Google Scholar 

  • Stone, L. S., & Thompson, P. (1992). Human speed perception is contrast dependent. Vision Research, 12(8), 1535–1549.

    Article  Google Scholar 

  • Sun, H.-J., Campos, J. L., & Chan, G. S. W. (2004). Multisensory integration in the estimation of relative path length. Experimental Brain Research, 154, 246–254.

    Article  PubMed  Google Scholar 

  • Sun, H.-J., Campos, J. L., Young, M., Chan, G. S. W., & Ellard, C. G. (2004). The contributions of static visual cues, nonvisual cues, and optic flow in distance estimation. Perception, 33, 49–65.

    Article  PubMed  Google Scholar 

  • Sun, H.-J., Lee, A., Campos, J. L., Chan, G. S. W., & Zhang, D. H. (2003). Multisensory integration in speed estimation during self-motion in a virtual environment. CyberPsychology and Behaviour, 6(5), 509–518.

    Article  Google Scholar 

  • Tarampi, M. R., Creem-Regehr, S. H., & Thompson, W. B. (2010). Intact spatial updating with severely degraded vision. Attention, Perception, & Psychophysics, 72(1), 23–27.

    Article  Google Scholar 

  • Thompson, W. B., Legge, G. E., Kersten, D. J., Shakespeare, R. A., & Lei, Q. (2017). Simulating visibility under reduced acuity and contrast sensitivity. Journal of the Optical Society of America A. Optics and Image Science, 34(4), 583–593.

    Article  Google Scholar 

  • Turano, K. A., Broman, A. T., Bandeen-Roche, K., Munoz, B., Rubin, G. S., & West, S. K. (2004). Association of visual field loss and mobility performance in older adults: Salisbury Eye Evaluation Study. Optometry & Vision Science, 81(5), 298–307.

    Article  Google Scholar 

  • Warren, W. H., & Hannon, D. J. (1988). Direction of self-motion is perceived from optical flow. Nature, 336, 162–163.

    Article  Google Scholar 

  • Witt, J. K., Stefanucci, J. K., Riener, C. R., & Proffitt, D. R. (2007). Seeing beyond the target: Environmental context affects distance perception. Perception, 36, 1752–1768.

    Article  PubMed  Google Scholar 

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Acknowledgements

This Research was supported by the National Eye Institute of the National Institutes of Health (Grant R01EY017835). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

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Correspondence to Kristina M. Rand.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

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Rand, K.M., Barhorst-Cates, E.M., Kiris, E. et al. Going the distance and beyond: simulated low vision increases perception of distance traveled during locomotion. Psychological Research 83, 1349–1362 (2019). https://doi.org/10.1007/s00426-018-1019-2

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