Calibration is the process by which the execution of actions becomes scaled to the (changing) relationship between environmental features and the actor’s action capabilities. Though much research has investigated how individuals calibrate to perturbed optic flow, it remains unclear how different experimental factors contribute to the magnitude of calibration transfer. In the present study, we assessed how testing environment (Experiment 1), an adapted pretest-calibration-posttest design (Experiment 2), and bilateral ankle loading (Experiment 3) affected the magnitude of calibration to perturbed optic flow. We found that calibration transferred analogously to real-world and virtual environments. Although the magnitude of calibration transfer found here was greater than that reported by previous researchers, it was evident that calibration occurred rapidly and quickly plateaued, further supporting the claim that calibration is often incomplete despite continued calibration trials. We also saw an asymmetry in calibration magnitude, which may be due to a lack of appropriate perceptual-motor scaling prior to calibration. The implications of these findings for the assessment of distance perception and calibration in real-world and virtual environments are discussed.
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Adams, H., Narasimham, G., Rieser, J., Creem-Regehr, S., Stefanucci, J., & Bodenheimer, B. (2018). Locomotive recalibration and prism adaptation of children and teens in immersive virtual environments. IEEE Transactions on Visualization and Computer Graphics, 24(4), 1408–1417. https://doi.org/10.1109/TVCG.2018.2794072
Altenhoff, B. M., Napieralski, P. E., Long, L. O., Bertrand, J. W., Pagano, C. C., Babu, S. V., & Davis, T. A. (2012). Effects of visual and haptic feedback on near-field depth perception in an immersive virtual environment. Proceedings of the ACM Symposium on Applied Perception (pp. 71–78). New York, NY: ACM.
Banton, T., Stefanucci, J., Durgin, F., Fass, A., & Proffitt, D. (2005). The perception of walking speed in a virtual environment. Presence: Teleoperators and Virtual Environments, 14(4), 394–406. https://doi.org/10.1162/105474605774785262
Bertenthal, B. I., Rose, J. L., & Bai, D. L. (1997). Perception-action coupling in the development of visual control of posture. Journal of Experimental Psychology: Human Perception and Performance, 23(6), 1631–1643.
Bhargava, A., Lucaites, K. M., Hartman, L. S., Solini, H., Bertrand, J. W., Robb, A. C., … Babu, S. V. (2020). Revisiting affordance perception in contemporary virtual reality. Virtual Reality, 1–12. https://doi.org/10.1007/s10055-020-00432-y
Bickel, R. (2007). Multilevel analysis for applied research: It’s just regression! New York, NY: Guilford Press.
Bingham, G. P., & Pagano, C. C. (1998). The necessity of a perception-action approach to definite distance perception: Monocular distance perception to guide reaching. Journal of Experimental Psychology: Human Perception and Performance, 24, 145–168. https://doi.org/10.1037/0096-15126.96.36.199
Bingham, G. P., Pan, J. S., & Mon-Williams, M. A. (2014). Calibration is both functional and anatomical. Journal of Experimental Psychology: Human Perception and Performance, 40, 61–70. https://doi.org/10.1037/a0033458
Brand, M. T., & de Oliveira, R. F. (2017). Recalibration in functional perceptual-motor tasks: A systematic review. Human Movement Science, 56, 54–70. https://doi.org/10.1016/j.humov.2017.10.020
Browning, R. C., Modica, J. R., Kram, R., & Goswami, A. (2007). The effects of adding mass to the legs on the energetics and biomechanics of walking. Medicine & Science in Sports & Exercise, 39, 515–525.
Bruggeman, H., & Warren, W. H. (2010). The direction of walking—but not throwing or kicking—is adapted by optic flow. Psychological Science, 21(7), 1006–1013. https://doi.org/10.1177/0956797610372635
Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple correlation/regression analysis for the social sciences (3rd ed.). Mahwah, NJ: Erlbaum.
Day, B., Ebrahimi, E., Hartman, L.S., Pagano, C. C., Robb, A. C., & Babu, S. V. (2019). Examining the effects of altered avatars on perception-action in virtual reality. Journal of Experimental Psychology: Applied, 25, 1–24.
Durgin, F. H., Pelah, A., Fox, L. F., Lewis, J., Kane, R., & Walley, K. A. (2005). Self-motion perception during locomotor recalibration: More than meets the eye. Journal of Experimental Psychology: Human Perception and Performance, 31(3), 398–419. https://doi.org/10.1037/0096-15188.8.131.528
Ebrahimi, E., Altenhoff, B., Pagano, C. C., & Babu, S. V. (2015, March 23–24). Carryover effects of calibration to visual and proprioceptive information on near field distance judgments in 3D user interaction. Proceedings of the IEEE 10th Symposium on 3D User Interfaces, Arles, France.
Fajen, B. R. (2005). Perceiving possibilities for action: On the necessity of calibration and perceptual learning for the visual guidance of action. Perception, 34, 717–740.
Fernández-Ruiz, J., Hall-Haro, C., Díaz, R., Mischner, J., Vergara, P., & Lopez-Garcia, J. C. (2000). Learning motor synergies makes use of information on muscular load. Learning & Memory, 7(4), 193–198.
Franchak, J. M. (2020). Calibration of perception fails to transfer between functionally similar affordances. Quarterly Journal of Experimental Psychology, 73, 1311–1325. https://doi.org/10.1177/1747021820926884
Geuss, M. N., Stefanucci, J. K., Creem-Regehr, S. H., & Thompson, W. B. (2012). Effect of viewing plane on perceived distances in real and virtual environments. Journal of Experimental Psychology: Human Perception and Performance, 38(5), 1242–1253. https://doi.org/10.1037/a0027524
Graves, J. E., Martin, D., Miltenberger, L. A., & Pollock, M. L. (1988). Physiological responses to walking with hand weights, wrist weights, and ankle weights. Medicine & Science in Sports & Exercise, 20(3), 265–271.
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/10.1080/10407413.2019.1708200
Kelly, J. W., Cherep, L. A., & Siegel, Z. D. (2017). Perceived space in the HTC Vive. ACM Transactions on Applied Perception, 15(1), 1–16. https://doi.org/10.1145/3106155
Kunz, B. R., Creem-Regehr, S. H., & Thompson, W. B. (2009). Evidence for motor simulation in imagined locomotion. Journal of Experimental Psychology: Human Perception and Performance, 35(5), 1458–1471. https://doi.org/10.1037/a0015786
Kunz, B. R., Creem-Regehr, S. H., & Thompson, W. B. (2013). Does perceptual-motor calibration generalize across two different forms of locomotion? Investigations of walking and wheelchairs. PLOS ONE, 8(2), e54446. https://doi.org/10.1371/journal.pone.0054446
Kunz, B. R., Creem-Regehr, S. H., & Thompson, W. B. (2015). Testing the mechanisms underlying improved distance judgments in virtual environments. Perception, 44(4), 446–453. https://doi.org/10.1068/p7929
Loomis, J. M., da Silva, J. A., 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. https://doi.org/10.1037/0096-15184.108.40.2066
Loomis, J. M., & Knapp, J. M. (2003). Visual perception of egocentric distance in real and virtual environments. In L. J. Hettinger & M. W. Haas (Eds.), Virtual and adaptive environments: Applications, implications, and human performance issues (Vol. 11, pp. 21–46). Mahwah, NJ: Erlbaum. https://doi.org/10.1201/9781410608888.pt1
Mark, L. S. (1987). Eyeheight-scaled information about affordances: A study of sittting and stair climbing. Journal of Experimental Psychology: Human Perception and Performance, 13(3), 361–370.
Martin, T. A., Keating, J. G., Goodkin, H. P., Bastian, A. J., & Thach, W. T. (1996). Throwing while looking through prisms: II. Specificity and storage of multiple gaze--throw calibrations. Brain, 119(4), 1199–1211. https://doi.org/10.1093/brain/119.4.1199
Mohler, B. J., Thompson, W. B., Creem-Regehr, S. H., Herbert, P., Warren, W., Rieser, J. J., & Willemsen, P. (2004). Visual motion influences locomotion in a treadmill virtual environment. Proceedings of the 1st Symposium on Applied Perception in Graphics and Visualization (pp. 19–22). https://doi.org/10.1145/1012551.1012554
Mohler, B. J., Thompson, W. B., Creem-Regehr, S. H., Willemsen, P., Pick, Jr., H. L., & Rieser, J. J. (2007). Calibration of locomotion resulting from visual motion in a treadmill-based virtual environment. ACM Transactions on Applied Perception, 4(1), 4. https://doi.org/10.1145/1227134.1227138
Pagano, C. C., & Isenhower, R. W. (2008). Expectation affects verbal judgments but not reaches to visually perceived egocentric distances. Psychonomic Bulletin & Review, 15, 437–442.
Pan, J. S., Coats, R. O., & Bingham, G. P. (2014). Calibration is action specific but perturbation of perceptual units is not. Journal of Experimental Psychology: Human Perception and Performance, 40, 404–415. https://doi.org/10.1037/a0033795
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.120v10x0
Proffitt, D. R. (2008). An action-specific approach to spatial perception. In R. Klatzky, B. MacWhinney, & M. Berhmann (Eds.), Embodiment, ego-space, and action (pp. 179–202). Mahwah, NJ: Erlbaum.
Proffitt, D. R., Stefanucci, J., Banton, T., & Epstein, W. (2003). The role of effort in perceiving distance. Psychological Science, 14(2), 106–112. https://doi.org/10.1111/1467-9280.t01-1-01427
Redding, G. M., & Wallace, B. (2003). Dual prism adaptation: Calibration or alignment? Journal of Motor Behavior, 35(4), 399–408. https://doi.org/10.1080/00222890309603159
Rieser, J. J., Pick, H. L., Ashmead, D. H., & Garing, A. E. (1995). Calibration of human locomotion and models of perceptual-motor organization. Journal of Experimental Psychology: Human Perception and Performance, 21(3), 480–497.
Sahm, C. S., Creem-Regehr, S. H., Thompson, W. B., & Willemsen, P. (2005). Throwing versus walking as indicators of distance perception in similar real and virtual environments. ACM Transactions on Applied Perception, 2(1), 35–45. https://doi.org/10.1145/1048687.1048690
Shibata, H., Gyoba, J., & Takeshima, Y. (2012). Perception of the end position of a limb loaded with a weight. Attention, Perception, & Psychophysics, 74(1), 225–238. https://doi.org/10.3758/s13414-011-0232-5
Siegel, Z. D., & Kelly, J. W. (2017). Walking through a virtual environment improves perceived size within and beyond the walked space. Attention, Perception, & Psychophysics, 79(1), 39–44. https://doi.org/10.3758/s13414-016-1243-z
Skinner, H. B., & Barrack, R. L. (1990). Ankle weighting effect on gait in able-bodied adults. Archives of Physical Medicine and Rehabilitation, 71(2), 112–115.
Snijders, T. A., & Bosker, R. J. (2011). Multilevel analysis: An introduction to basic and advanced multilevel modeling. Thousand Oaks, CA: SAGE Publications.
Solini, H. M., Bhargava, A., & Pagano, C. C. (2019). Transfer of calibration in virtual reality to both real and virtual environments. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 63(1), 1943–1947. https://doi.org/10.1177/1071181319631224
van Andel, S., Cole, M. H., & Pepping, G. J. (2017). A systematic review on perceptual-motor calibration to changes in action capabilities. Human Movement Science, 51, 59–71. https://doi.org/10.1016/j.humov.2016.11.004
Van der Leeden, R., & Busing, F. M. T. A. (1994). First iteration versus IGLS/RIGLS estimates in two-level models: A Monte Carlo study with ML3. Preprint PRM, 94(03).
Walter, H. J., Peterson, N., Li, R., Wagman, J. B., & Stoffregen, T. A. (2019). Sensitivity to changes in dynamic affordances for walking on land and at sea. PLOS ONE, 14(10), e0221974.
Warren, W. H. (1988). Action modes and laws of control for the visual guidance of action. In Advances in Psychology (Vol. 50, pp. 339–379). Elsevier. https://doi.org/10.1016/S0166-4115(08)62564-9
Warren, W. H. (1990). The perception-action coupling. In H. Bloch & B. I. Bertenthal (Eds.), Sensory-Motor Organizations and Development in Infancy and Early Childhood (pp. 23–37). Heidelberg, Germany: Springer Netherlands. https://doi.org/10.1007/978-94-009-2071-2_2
Witt, J. K. (2011). Action’s effect on perception. Current Directions in Psychological Science, 20, 201-206.
Witt, J. K., Proffitt, D. R., & Epstein, W. (2010). When and how are spatial perceptions scaled? Journal of Experimental Psychology: Human Perceptionand Performance, 36, 1153–1160. https://doi.org/10.1037/a0019947
Woltman, H., Feldstain, A., MacKay, J. C., & Rocchi, M. (2012). An introduction to hierarchical linear modeling. Tutorials in Quantitative Methods for Psychology, 8(1), 52–69. https://doi.org/10.20982/tqmp.08.1.p052
Ziemer, C. J., Branson, M. J., Chihak, B. J., Kearney, J. K., Cremer, J. F., & Plumert, J. M. (2013). Manipulating perception versus action in recalibration tasks. Attention, Perception, & Psychophysics, 75(6), 1260–1274. https://doi.org/10.3758/s13414-013-0473-6
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Solini, H.M., Bhargava, A. & Pagano, C.C. The effects of testing environment, experimental design, and ankle loading on calibration to perturbed optic flow during locomotion. Atten Percept Psychophys 83, 497–511 (2021). https://doi.org/10.3758/s13414-020-02200-1
- Perception and action
- Goal-directed movements
- Adaptation and after effects