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Gepubliceerd in:

01-02-2025 | Review

A systematic review of human odometry

Auteurs: Tyler M. Wiles, Alli Grunkemeyer, Nick Stergiou, Aaron D. Likens

Gepubliceerd in: Psychological Research | Uitgave 1/2025

Abstract

Human odometry refers to an individual’s ability to travel between locations without eyesight and without designating a conscious effort toward spatially updating themselves as they travel through the environment. A systematic review on human odometry was completed for the purpose of establishing the state-of-the-art of the topic, and based on this information, develop meaningful hypotheses using Strong Inference. The following databases were searched up to February 16, 2023, and accessed through University of Nebraska at Omaha proxied databases: IEEEXplore, PsycArticles, PsycInfo, PubMed Central, SCOPUS, and Web of Science. Of the 7,060 articles reviewed, 23 met our inclusion criteria and were accumulated for their contents and quality. Methodologies, limitations, strengths, and future solutions based on those 23 articles are discussed. In summary, young healthy adults are the typical population examined, and distance perception can be manipulated with distance or gait type. Odometry can be studied using simple measurement tools, participants are often given 3–4 attempts to correctly perceive an average distance of 14.3 m, and the average article is of moderate quality with a mean score of 6.13. Many literature gaps, variability in methodology, and insufficient detail, can be amended by the addition of slightly more detailed manuscripts in future publications.

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Effect sizes were calculated for the ‘report’ values given either as distance or error in each respective article. Therefore, results may not be presented for articles that do not contain summary statistics with a mean, standard deviation, or sample size. In addition, we did not calculate effect sizes for papers presenting only coefficients of variance or other measures of precision. This paper is focused on average changes in intervention rather than precision considering only one paper does not report means and standard deviations (Durgin et al., 2009). In addition, since summary statistics are used, we have noted where independent t-test are used instead of a paired t-test which would be more appropriate given enough information had been provided by the authors. All pairwise comparisons were two sided. Bayes Factors were calculated as independent or paired samples t-tests when appropriate, provided enough information was given, with the alternative hypothesis that Group 1 and Group 2 are different with default Cauchy priors. In the case that our own t-tests were carried out independently rather than paired, the Bayes Factor was still calculated as a paired test.

These acronyms provide a condensed legend for calculating effect sizes in text and in the supplementary table. Letters D, S, US, R, REG on the left side of the hyphen describe the dependent variable of interest. D is distance traveled, S is signed error (typically report distance minus measure distance), US is the absolute value of S, R is ratio (typically report distance over measure distance), and REG is a regression fit to the data. Letters D and ND on the right side of the hyphen outline if distance was considered a factor or not in the analysis. D includes distance as a factor and ND does not include distance as a factor.

Abdolvahab, M., Carello, C., Pinto, C., Turvey, M. T., & Frank, T. D. (2015). Symmetry and order parameter dynamics of the human odometer. Biological Cybernetics, 109(1), 63–73. https://doi.org/10.1007/s00422-014-0627-1CrossRefPubMed

Adamo, D. E., Briceño, E. M., Sindone, J. A., Alexander, N. B., & Moffat, S. D. (2012). Age differences in virtual environment and real world path integration. Frontiers in Aging Neuroscience. https://doi.org/10.3389/fnagi.2012.00026CrossRefPubMedPubMedCentral

Agmon, M., Lavie, L., & Doumas, M. (2017). The Association between hearing loss, postural control, and mobility in older adults: A systematic review. Journal of the American Academy of Audiology, 28(06), 575–588. https://doi.org/10.3766/jaaa.16044CrossRefPubMed

Akan, O., Bierbrauer, A., Kunz, L., Gajewski, P. D., Getzmann, S., Hengstler, J. G., Wascher, E., Axmacher, N., & Wolf, O. T. (2023). Chronic stress is associated with specific path integration deficits. Behavioural Brain Research, 442, 114305. https://doi.org/10.1016/j.bbr.2023.114305CrossRefPubMed

Anastasiou, C., Baumann, O., & Yamamoto, N. (2022). Does path integration contribute to human navigation in large-scale space? Psychonomic Bulletin & Review. https://doi.org/10.3758/s13423-022-02216-8CrossRef

Barlow, J. S. (1964). Inertial navigation as a basis for animal navigation. Journal of Theoretical Biology, 6(1), 76–117. https://doi.org/10.1016/0022-5193(64)90067-0CrossRefPubMed

Belmonti, V., Cioni, G., & Berthoz, A. (2015). Switching from reaching to navigation: Differential cognitive strategies for spatial memory in children and adults. Developmental Science, 18(4), 569–586. https://doi.org/10.1111/desc.12240CrossRefPubMed

Berthoz, A., Israël, I., Georges-François, P., Grasso, R., & Tsuzuku, T. (1995). Spatial memory of body linear displacement: What is being stored? Science, 269(5220), 95–98.CrossRefPubMed

Biegler, R. (2000). Possible uses of path integration in animal navigation. Animal Learning & Behavior, 28(3), 257–277. https://doi.org/10.3758/BF03200260CrossRef

Bigel, M. G., & Ellard, C. G. (2000). The contribution of nonvisual information to simple place navigation and distance estimation: An examination of path integration. Canadian Journal of Experimental Psychology, 54(3), 172–184. https://doi.org/10.1037/h0087339CrossRefPubMed

Bostelmann, M., Lavenex, P., & Banta Lavenex, P. (2020a). Children five-to-nine years old can use path integration to build a cognitive map without vision. Cognitive Psychology, 121, 101307. https://doi.org/10.1016/j.cogpsych.2020.101307CrossRefPubMed

Bostelmann, M., Lavenex, P., & Banta Lavenex, P. (2020). Children five-to-nine years old can use path integration to build a cognitive map without vision. Cognitive Psychology. https://doi.org/10.1016/j.cogpsych.2020.101307CrossRefPubMed

Bostelmann, M., Ruggeri, P., Rita Circelli, A., Costanzo, F., Menghini, D., Vicari, S., Lavenex, P., & Banta Lavenex, P. (2020). Path integration and cognitive mapping capacities in down and williams syndromes. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2020.571394CrossRefPubMedPubMedCentral

Boyer, D., Crofoot, M. C., & Walsh, P. D. (2012). Non-random walks in monkeys and humans. Journal of the Royal Society Interface, 9(70), 842–847. https://doi.org/10.1098/rsif.2011.0582CrossRefPubMed

Brodoehl, S., Klingner, C. M., & Witte, O. W. (2015). Eye closure enhances dark night perceptions. Scientific Reports, 5(1), 10515. https://doi.org/10.1038/srep10515CrossRefPubMedPubMedCentral

Burgess, N. (2006). Spatial memory: How egocentric and allocentric combine. Trends in Cognitive Sciences, 10(12), 551–557. https://doi.org/10.1016/j.tics.2006.10.005CrossRefPubMed

Campos, J. L., Butler, J. S., & Bülthoff, H. H. (2014). Contributions of visual and proprioceptive information to travelled distance estimation during changing sensory congruencies. Experimental Brain Research, 232(10), 3277–3289. https://doi.org/10.1007/s00221-014-4011-0CrossRefPubMed

Campos, J. L., Byrne, P., & Sun, H. (2010). The brain weights body-based cues higher than vision when estimating walked distances. European Journal of Neuroscience, 31(10), 1889–1898. https://doi.org/10.1111/j.1460-9568.2010.07212.xCrossRefPubMed

Chrastil, E. R., & Warren, W. H. (2014). Does the human odometer use an extrinsic or intrinsic metric? Attention, Perception, & Psychophysics, 76(1), 230–246. https://doi.org/10.3758/s13414-013-0549-3CrossRef

Chrastil, E. R., & Warren, W. H. (2021). Executing the homebound path is a major source of error in homing by path integration. Journal of Experimental Psychology: Human Perception and Performance, 47(1), 13–35. https://doi.org/10.1037/xhp0000875CrossRefPubMed

Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155–159. https://doi.org/10.1037/0033-2909.112.1.155CrossRefPubMed

Cornwell, T., Woodward, J., Wu, M., Jackson, B., Souza, P., Siegel, J., Dhar, S., & Gordon, K. E. (2020). Walking with ears: Altered auditory feedback impacts gait step length in older adults. Frontiers in Sports and Active Living, 2, 38. https://doi.org/10.3389/fspor.2020.00038CrossRefPubMedPubMedCentral

Diniz, A., Wijnants, M. L., Torre, K., Barreiros, J., Crato, N., Bosman, A. M. T., Hasselman, F., Cox, R. F. A., Van Orden, G. C., & Delignières, D. (2011). Contemporary theories of 1/f noise in motor control. Human Movement Science, 30(5), 889–905. https://doi.org/10.1016/j.humov.2010.07.006CrossRefPubMed

Durgin, F. H., Akagi, M., Gallistel, C. R., & Haiken, W. (2009). The precision of locomotor odometry in humans. Experimental Brain Research, 193(3), 429–436. https://doi.org/10.1007/s00221-008-1640-1CrossRefPubMed

Ellard, C. G., & Shaughnessy, S. C. (2003). A comparison of visual and nonvisual sensory inputs to walked distance in a blind-walking task. Perception, 32(5), 567–578. https://doi.org/10.1068/p5041CrossRefPubMed

Elliott, D. (1987). The influence of walking speed and prior practice on locomotor distance estimation. Journal of Motor Behavior, 19(4), 476–485. https://doi.org/10.1080/00222895.1987.10735425CrossRefPubMed

Etienne, A. S., & Jeffery, K. J. (2004). Path integration in mammals. Hippocampus, 14(2), 180–192. https://doi.org/10.1002/hipo.10173CrossRefPubMed

Etienne, A. S., Maurer, R., Berlie, J., Derivaz, V., Georgakopoulos, J., Griffin, A., & Rowe, T. (1998). Cooperation between dead reckoning (path integration) and external position cues. Journal of Navigation, 51(1), 23–34. https://doi.org/10.1017/S0373463397007583CrossRef

Fanelli, D. (2018). Is science really facing a reproducibility crisis, and do we need it to? Proceedings of the National Academy of Sciences, 115(11), 2628–2631. https://doi.org/10.1073/pnas.1708272114CrossRef

Field, A. P., Miles, J., & Field, Z. (2012). Discovering statistics using R. Sage

Figurska, M., Stańczyk, M., & Kulesza, K. (2008). Humans cannot consciously generate random numbers sequences: Polemic study. Medical Hypotheses, 70(1), 182–185. https://doi.org/10.1016/j.mehy.2007.06.038CrossRefPubMed

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, 205. https://doi.org/10.1111/j.1749-6632.2009.03862.xCrossRef

Golledge, R. G. (1999). Wayfinding behavior: Cognitive mapping and other spatial processes. JHU press.CrossRef

Halpern, A. I., Jansen, J. A. F., Giladi, N., Mirelman, A., & Hausdorff, J. M. (2022). Does time-of-day influence postural control and gait? A review of the literature. Gait & Posture, 92, 153–166. https://doi.org/10.1016/j.gaitpost.2021.10.023CrossRef

Harrison, S. J. (2020). human odometry with a two-legged hopping gait: A test of the gait symmetry theory. Ecological Psychology, 32(1), 58–78. https://doi.org/10.1080/10407413.2019.1708200CrossRef

Harrison, S. J., & Davis, T. J. (2023). Homing tasks performed using variations of crawling gait patterns reveal a role for attention in podokinetic path integration. Experimental Brain Research. https://doi.org/10.1007/s00221-023-06558-0CrossRefPubMed

Harrison, S. J., Kuznetsov, N., & Breheim, S. (2013). Flexible kinesthetic distance perception: When do your arms tell you how far you have walked? Journal of Motor Behavior, 45(3), 239–247. https://doi.org/10.1080/00222895.2013.785925CrossRefPubMed

Harrison, S. J., Reynolds, N., Bishoff, B., & Stergiou, N. (2021). Assessing the relative contribution of vision to odometry via manipulations of gait in an over-ground homing task. Experimental Brain Research, 239(4), 1305–1316. https://doi.org/10.1007/s00221-021-06066-zCrossRefPubMed

Harrison, S. J., Reynolds, N., Bishoff, B., Stergiou, N., & White, E. (2022). Homing tasks and distance matching tasks reveal different types of perceptual variables associated with perceiving self-motion during over-ground locomotion. Experimental Brain Research, 240(4), 1257–1266. https://doi.org/10.1007/s00221-022-06337-3CrossRefPubMed

Harrison, S. J., & Turvey, M. T. (2009). Load affects human odometry for travelled distance but not straight-line distance. Neuroscience Letters, 462(2), 140–143. https://doi.org/10.1016/j.neulet.2009.07.001CrossRefPubMed

Harrison, S. J., & Turvey, M. T. (2010). Place learning by mechanical contact. Journal of Experimental Biology, 213(9), 1436–1442. https://doi.org/10.1242/jeb.039404CrossRefPubMed

Harrison, S. J., & Turvey, M. T. (2018). Odometry. In J. Vonk & T. Shackelford (Eds.), Encyclopedia of animal cognition and behavior (pp. 1–5). Springer International Publishing.

Isenhower, R. W., Kant, V., Frank, T. D., Pinto, C. M. A., Carello, C., & Turvey, M. T. (2012). Equivalence of human odometry by walk and run is indifferent to self-selected speed. Journal of Motor Behavior, 44(1), 47–52. https://doi.org/10.1080/00222895.2011.642026CrossRefPubMed

Israel, I., Chapuis, N., Glasauer, S., Charade, O., & Berthoz, A. (1993). Estimation of passive horizontal linear whole-body displacement in humans. Journal of Neurophysiology, 70(3), 1270–1273. https://doi.org/10.1152/jn.1993.70.3.1270CrossRefPubMed

Israël, I., Grasso, R., Georges-François, P., Tsuzuku, T., & Berthoz, A. (1997). Spatial memory and path integration studied by self-driven passive linear displacement. I. Basic properties. Journal of Neurophysiology, 77(6), 3180–3192. https://doi.org/10.1152/jn.1997.77.6.3180CrossRefPubMed

Jafarnezhadgero, A. A., Majlesi, M., & Azadian, E. (2017). Gait ground reaction force characteristics in deaf and hearing children. Gait & Posture, 53, 236–240. https://doi.org/10.1016/j.gaitpost.2017.02.006CrossRef

JASP Team. (2023). JASP (Version 0.17.3) [computer software]. https://jasp-stats.org/

Jeffreys, H. (1983). Theory of probability (3rd ed.). Clarendon Press; Oxford University Press.

Kallie, C. S., Schrater, P. R., & Legge, G. E. (2007). Variability in stepping direction explains the veering behavior of blind walkers. Journal of Experimental Psychology: Human Perception and Performance, 33(1), 183–200. https://doi.org/10.1037/0096-1523.33.1.183CrossRefPubMed

Kello, C. T., Anderson, G. G., Holden, J. G., & Van Orden, G. C. (2008). The pervasiveness of 1/f scaling in speech reflects the metastable basis of cognition. Cognitive Science, 32(7), 1217–1231. https://doi.org/10.1080/03640210801944898CrossRefPubMed

Kelso, J. A. S., Saltzman, E. L., & Tuller, B. (1986). The dynamical perspective on speech production: Data and theory. Journal of Phonetics, 14(1), 29–59. https://doi.org/10.1016/S0095-4470(19)30608-4CrossRef

Koutakis, P., Mukherjee, M., Vallabhajosula, S., Blanke, D. J., & Stergiou, N. (2013). Path integration: Effect of curved path complexity and sensory system on blindfolded walking. Gait & Posture, 37(2), 154–158. https://doi.org/10.1016/j.gaitpost.2012.06.027CrossRef

Lakens, D. (2013). Calculating and reporting effect sizes to facilitate cumulative science: A practical primer for t-tests and ANOVAs. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2013.00863CrossRefPubMedPubMedCentral

Lakens, D. (2022). Sample size justification. Collabra Psychology, 8(1), 33267. https://doi.org/10.1525/collabra.33267CrossRef

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. https://doi.org/10.1007/s00221-006-0835-6CrossRefPubMed

Lee, M. D., & Wagenmakers, E.-J. (2013). Bayesian cognitive modeling: A practical course. Cambridge University Press.

Lewandowsky, S., & Oberauer, K. (2020). Low replicability can support robust and efficient science. Nature Communications, 11(1), 358. https://doi.org/10.1038/s41467-019-14203-0CrossRefPubMedPubMedCentral

Li, L., Simonsick, E. M., Ferrucci, L., & Lin, F. R. (2013). Hearing loss and gait speed among older adults in the United States. Gait & Posture, 38(1), 25–29. https://doi.org/10.1016/j.gaitpost.2012.10.006CrossRef

Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gotzsche, P. C., Ioannidis, J. P. A., Clarke, M., Devereaux, P. J., Kleijnen, J., & Moher, D. (2009). The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: Explanation and elaboration. BMJ, 339, b2700–b2700. https://doi.org/10.1136/bmj.b2700CrossRefPubMedPubMedCentral

Loomis, J. M., Klatzky, R. L., Golledge, R. G., Cicinelli, J. G., Pellegrino, J. W., & Fry, P. A. (1993). Nonvisual navigation by blind and sighted: Assessment of path integration ability. Journal of Experimental Psychology: General, 122(1), 73–91. https://doi.org/10.1037/0096-3445.122.1.73CrossRefPubMed

Marlinsky, V. V. (1999). Vestibular and vestibulo-proprioceptive perception of motion in the horizontal plane in blindfolded man—I. Estimations of Linear Displacement, 90(2), 6.

Marx, E., Stephan, T., Nolte, A., Deutschländer, A., Seelos, K. C., Dieterich, M., & Brandt, T. (2003). Eye closure in darkness animates sensory systems. NeuroImage, 19(3), 924–934. https://doi.org/10.1016/S1053-8119(03)00150-2CrossRefPubMed

May, M., & Klatzky, R. L. (2000). Path integration while ignoring irrelevant movement. Journal of Experimental Psychology: Learning Memory and Cognition, 26(1), 169–186. https://doi.org/10.1037/0278-7393.26.1.169CrossRefPubMed

Mittelstaedt, M.-L., & Glasauer, S. (1991). Idiothetic navigation in gerbils and humans. 10.

Mittelstaedt, M.-L., & Mittelstaedt, H. (2001). Idiothetic navigation in humans: Estimation of path length. Experimental Brain Research, 139(3), 318–332. https://doi.org/10.1007/s002210100735CrossRefPubMed

Miyakawa, T. (2020). No raw data, no science: Another possible source of the reproducibility crisis. Molecular Brain, 13(1), 24. https://doi.org/10.1186/s13041-020-0552-2CrossRefPubMedPubMedCentral

Nico, D., Israël, I., & Berthoz, A. (2002). Interaction of visual and idiothetic information in a path completion task. Experimental Brain Research, 146(3), 379–382. https://doi.org/10.1007/s00221-002-1184-8CrossRefPubMed

O’Hagan, A., & Stevens, J. W. (2001). Bayesian assessment of sample size for clinical trials of cost-effectiveness. Medical Decision Making, 21(3), 219–230. https://doi.org/10.1177/02729890122062514CrossRefPubMed

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., & Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ. https://doi.org/10.1136/bmj.n71CrossRefPubMedPubMedCentral

Page, M. J., Moher, D., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., & McKenzie, J. E. (2021). PRISMA 2020 explanation and elaboration: Updated guidance and exemplars for reporting systematic reviews. BMJ. https://doi.org/10.1136/bmj.n160CrossRefPubMedPubMedCentral

Paquet, N., Taillon-Hobson, A., & Lajoie, Y. (2015). Effect of ankle weight on blind navigation. Perceptual and Motor Skills, 120(2), 502–518. https://doi.org/10.2466/25.PMS.120v10x0CrossRefPubMed

Pashler, H., & Harris, C. R. (2012). Is the replicability crisis overblown? Three arguments examined. Perspectives on Psychological Science, 7(6), 531–536. https://doi.org/10.1177/1745691612463401CrossRefPubMed

Peng, R. (2015). The reproducibility crisis in science: A statistical counterattack. Significance, 12(3), 30–32. https://doi.org/10.1111/j.1740-9713.2015.00827.xCrossRef

Pfeffer, S. E., & Wittlinger, M. (2016). Optic flow odometry operates independently of stride integration in carried ants. Science, 353(6304), 1155–1157. https://doi.org/10.1126/science.aaf9754CrossRefPubMed

Platt, J. R. (1964). Strong Inference: Certain systematic methods of scientific thinking may produce much more rapid progress than others. Science, 146(3642), 347–353. https://doi.org/10.1126/science.146.3642.347CrossRefPubMed

PRISMA-S Group, Rethlefsen, M. L., Kirtley, S., Waffenschmidt, S., Ayala, A. P., Moher, D., Page, M. J., & Koffel, J. B. (2021). PRISMA-S: An extension to the PRISMA statement for reporting literature searches in systematic reviews. Systematic Reviews, 10(1), 39. https://doi.org/10.1186/s13643-020-01542-zCrossRef

Rieser, J. J., Ashmead, D. H., Talor, C. R., & Youngquist, G. A. (1990). Visual perception and the guidance of locomotion without vision to previously seen targets. Perception, 19(5), 675–689. https://doi.org/10.1068/p190675CrossRefPubMed

Romero, F. (2019). Philosophy of science and the replicability crisis. Philosophy Compass. https://doi.org/10.1111/phc3.12633CrossRef

Rstudio. (2022). R: A language and environment for statistical computing (4.2.2) [R]. R Foundation for Statistical Computing. https://www.R-project.org/

Save, E., Cressant, A., Thinus-Blanc, C., & Poucet, B. (1998). Spatial firing of hippocampal place cells in blind rats. The Journal of Neuroscience, 18(5), 1818–1826. https://doi.org/10.1523/JNEUROSCI.18-05-01818.1998CrossRefPubMedPubMedCentral

Schwartz, M. (1999). Haptic perception of the distance walked when blindfolded. Journal of Experimental Psychology: Human Perception and Performance, 25(3), 852–865. https://doi.org/10.1037/0096-1523.25.3.852CrossRefPubMed

Seguinot, V., Cattet, J., & Benhamou, S. (1998). Path integration in dogs. Animal Behaviour, 55(4), 787–797. https://doi.org/10.1006/anbe.1997.0662CrossRefPubMed

Seyfarth, E.-A., Hergenröder, R., Ebbes, H., & Barth, F. G. (1982). Idiothetic orientation of a wandering spider: Compensation of detours and estimates of goal distance. Behavioral Ecology and Sociobiology, 11(2), 139–148.CrossRef

Song, C., Koren, T., Wang, P., & Barabási, A.-L. (2010). Modelling the scaling properties of human mobility. Nature Physics, 6(10), 818–823. https://doi.org/10.1038/nphys1760CrossRef

Souman, J. L., Frissen, I., Sreenivasa, M. N., & Ernst, M. O. (2009). Walking straight into circles. Current Biology, 19(18), 1538–1542. https://doi.org/10.1016/j.cub.2009.07.053CrossRefPubMed

Steck, K., Wittlinger, M., & Wolf, H. (2009). Estimation of homing distance in desert ants, Cataglyphis fortis, remains unaffected by disturbance of walking behaviour. Journal of Experimental Biology, 212(18), 2893–2901. https://doi.org/10.1242/jeb.030403CrossRefPubMed

Steenhuis, R. E., & Goodale, M. A. (1988). The effects of time and distance on accuracy of target-directed locomotion: Does an accurate short-term memory for spatial location exist? Journal of Motor Behavior, 20(4), 399–415. https://doi.org/10.1080/00222895.1988.10735454CrossRefPubMed

Stevenson, A., & Lindberg, C. A. (Eds.). (2010). New oxford american dictionary (3rd ed.). Oxford University Press.

Sun, H.-J., Campos, J. L., & Chan, G. S. W. (2004). Multisensory integration in the estimation of relative path length. Experimental Brain Research, 154(2), 246–254. https://doi.org/10.1007/s00221-003-1652-9CrossRefPubMed

Tajadura-Jiménez, A., Basia, M., Deroy, O., Fairhurst, M., Marquardt, N., & Bianchi-Berthouze, N. (2015). As light as your footsteps: Altering walking sounds to change perceived body weight, emotional state and gait. In: Proceedings of the 33rd annual ACM conference on human factors in computing systems. pp. 2943–2952. https://doi.org/10.1145/2702123.2702374

Teng, D. W., Eddy, C. L., & Kelty-Stephen, D. G. (2016). Non-visually-guided distance perception depends on matching torso fluctuations between training and test. Attention, Perception, & Psychophysics, 78(8), 2320–2328. https://doi.org/10.3758/s13414-016-1213-5CrossRef

Thomson, J. A. (1983). Is continuous visual monitoring necessary in visually guided locomotion? Journal of Experimental Psychology: Human Perception and Performance, 9(3), 427–443. https://doi.org/10.1037/0096-1523.9.3.427CrossRefPubMed

Thomson, J. A. (1986). Intermittent versus continuous visual control: A reply to Elliott. Journal of Experimental Psychology: Human Perception and Performance, 12(3), 392–393. https://doi.org/10.1037/0096-1523.12.3.392CrossRefPubMed

Tuller, B., Kelso, J. S., & Harris, K. S. (1982). Interarticulator phasing as an index of temporal regularity in speech. Journal of Experimental Psychology: Human Perception and Performance, 8(3), 460–472. https://doi.org/10.1037/0096-1523.8.3.460CrossRef

Turvey, M. T., Harrison, S. J., Frank, T. D., & Carello, C. (2012). Human odometry verifies the symmetry perspective on bipedal gaits. Journal of Experimental Psychology: Human Perception and Performance, 38(4), 1014–1025. https://doi.org/10.1037/a0027853CrossRefPubMed

Turvey, M. T., Romaniak-Gross, C., Isenhower, R. W., Arzamarski, R., Harrison, S., & Carello, C. (2009). Human odometer is gait-symmetry specific. Proceedings of the Royal Society B: Biological Sciences, 276(1677), 4309–4314. https://doi.org/10.1098/rspb.2009.1134CrossRefPubMedCentral

Van Orden, G. C., Kloos, H., & Wallot, S. (2011). Living in the pink: Intentionality, wellbeing, and complexity. In Philosophy of Complex Systems (10, pp. 29–672). North-Holland. https://doi.org/10.1016/B978-0-444-52076-0.50022-5

Walls, M. L., & Layne, J. E. (2009). Direct evidence for distance measurement via flexible stride integration in the fiddler crab. Current Biology, 19(1), 25–29. https://doi.org/10.1016/j.cub.2008.10.069CrossRefPubMed

Wan, X., Wang, R. F., & Crowell, J. A. (2013). Effects of basic path properties on human path integration. Spatial Cognition & Computation, 13(1), 79–101. https://doi.org/10.1080/13875868.2012.678521CrossRef

Werner, H., & Wapner, S. (1955). Changes in psychological distance under conditions of danger. Journal of Personality, 24(2), 153–167. https://doi.org/10.1111/j.1467-6494.1955.tb01181.xCrossRef

White, E., Shockley, K., & Riley, M. A. (2013). Multimodally specified energy expenditure and action-based distance judgments. Psychonomic Bulletin & Review, 20(6), 1371–1377. https://doi.org/10.3758/s13423-013-0462-8CrossRef

Whitehead, J., Valdés-Márquez, E., Johnson, P., & Graham, G. (2008). Bayesian sample size for exploratory clinical trials incorporating historical data. Statistics in Medicine, 27(13), 2307–2327. https://doi.org/10.1002/sim.3140CrossRefPubMed

Wiles, T., & Likens, A. (2022). A Systematic Review of Human Odometry. https://doi.org/10.17605/OSF.IO/N49BM

Wittlinger, M., Wehner, R., & Wolf, H. (2007). The desert ant odometer: A stride integrator that accounts for stride length and walking speed. Journal of Experimental Biology, 210(2), 198–207. https://doi.org/10.1242/jeb.02657CrossRefPubMed

Worsley, C. (2001). Path integration following temporal lobectomy in humans. Neuropsychologia, 39(5), 452–464. https://doi.org/10.1016/S0028-3932(00)00140-8CrossRefPubMed

Xie, Y., Bigelow, R. T., Frankenthaler, S. F., Studenski, S. A., Moffat, S. D., & Agrawal, Y. (2017). Vestibular loss in older adults is associated with impaired spatial navigation: Data from the triangle completion task. Frontiers in Neurology, 8, 173. https://doi.org/10.3389/fneur.2017.00173CrossRefPubMedPubMedCentral

Xu, P., Huang, R., Wang, J., Van Dam, N. T., Xie, T., Dong, Z., Chen, C., Gu, R., Zang, Y.-F., He, Y., Fan, J., & Luo, Y. (2014). Different topological organization of human brain functional networks with eyes open versus eyes closed. NeuroImage, 90, 246–255. https://doi.org/10.1016/j.neuroimage.2013.12.060CrossRefPubMed

Titel: A systematic review of human odometry
Auteurs: Tyler M. Wiles
Alli Grunkemeyer
Nick Stergiou
Aaron D. Likens
Publicatiedatum: 01-02-2025
Uitgeverij: Springer Berlin Heidelberg
Gepubliceerd in: Psychological Research / Uitgave 1/2025
Print ISSN: 0340-0727
Elektronisch ISSN: 1430-2772
DOI: https://doi.org/10.1007/s00426-024-02058-0

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