Influence of Speed and Accuracy Constraints on Motor Learning for a Trajectory-Based Movement

REFERENCES

• Accot, J., & Zhai, S. (1997). Beyond Fitts’ law: Models for trajectory-based HCI tasks. Paper presented at the Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems.
   Google Scholar
• Albouy, G., Fogel, S., Pottiez, H., Nguyen, V. A., Ray, L., Lungu, O., & Doyon, J. (2013). Daytime sleep enhances consolidation of the spatial but not motoric representation of motor sequence memory. PLoS One, 8(1), e52805. doi:10.1371/journal.pone.0052805
   PubMed Web of Science ®Google Scholar
• Berardelli, A., Hallett, M., Rothwell, J., Agostino, R., Manfredi, M., Thompson, P., & Marsden, C. (1996). Single-joint rapid arm movements in normal subjects and in patients with motor disorders. Brain, 119(2), 661–674. doi:10.1093/brain/119.2.661
   PubMedGoogle Scholar
• Boyd, L. A., & Winstein, C. J. (2004). Cerebellar stroke impairs temporal but not spatial accuracy during implicit motor learning. Neurorehabilitation and Neural Repair, 18(3), 134–143. doi:10.1177/0888439004269072
   PubMed Web of Science ®Google Scholar
• Cohen, R. G., & Sternad, D. (2012). State space analysis of timing: Exploiting task redundancy to reduce sensitivity to timing. Journal of Neurophysiology, 107(2), 618–627. doi:10.1152/jn.00568.2011
   PubMed Web of Science ®Google Scholar
• De Haan, R., Limburg, M., Van der Meulen, J., Jacobs, H., & Aaronson, N. (1995). Quality of life after stroke. Stroke, 26(3), 402–408. doi:10.1161/01.STR.26.3.402
   PubMed Web of Science ®Google Scholar
• Dobkin, B. H. (2004). Strategies for stroke rehabilitation. The Lancet Neurology, 3(9), 528–536. doi:10.1016/S1474-4422(04)00851-8
   PubMed Web of Science ®Google Scholar
• Doyon, J., Korman, M., Morin, A., Dostie, V., Tahar, A. H., Benali, H., & Carrier, J. (2009). Contribution of night and day sleep vs. simple passage of time to the consolidation of motor sequence and visuomotor adaptation learning. Experimental Brain Research, 195(1), 15–26. doi:10.1007/s00221-009-1748-y
   PubMed Web of Science ®Google Scholar
• Elliott, D., Hansen, S., Mendoza, J., & Tremblay, L. (2004). Learning to optimize speed, accuracy, and energy expenditure: A framework for understanding speed–accuracy relations in goal-directed aiming. Journal of Motor Behavior, 36(3), 339–351. doi:10.3200/JMBR.36.3.339-351
   PubMed Web of Science ®Google Scholar
• Fitts, P. M. (1954). The information capacity of the human motor system in controlling the amplitude of movement. Journal of Experimental Psychology, 47(6), 381. doi:10.1037/h0055392
   PubMedGoogle Scholar
• Flash, T., & Hogan, N. (1985). The coordination of arm movements: An experimentally confirmed mathematical model. Journal of Neuroscience, 5(7), 1688–1703.
   PubMed Web of Science ®Google Scholar
• Gribble, P. L., Mullin, L. I., Cothros, N., & Mattar, A. (2003). Role of cocontraction in arm movement accuracy. Journal of Neurophysiology, 89(5), 2396–2405. doi:10.1152/jn.01020.2002
   PubMed Web of Science ®Google Scholar
• Haghgoo, H. A., Pazuki, E. S., Hosseini, A. S., & Rassafiani, M. (2013). Depression, activities of daily living and quality of life in patients with stroke. Journal of the Neurological Sciences, 328(1), 87–91. doi:10.1016/j.jns.2013.02.027
   PubMed Web of Science ®Google Scholar
• Harris, C. M., & Wolpert, D. M. (1998). Signal-dependent noise determines motor planning. Nature, 394(6695), 780–784. doi:10.1038/29528
   PubMed Web of Science ®Google Scholar
• Hogan, N., & Flash, T. (1987). Moving gracefully: Quantitative theories of motor coordination. Trends in Neurosciences, 10(4), 170–174. doi:10.1016/0166-2236(87)90043-9
   Web of Science ®Google Scholar
• Hsieh, T.-Y., Liu, Y.-T., Mayer-Kress, G., & Newell, K. M. (2013). The movement speed–accuracy relation in space-time. Human Movement Science, 32(1), 257–269. doi:10.1016/j.humov.2012.12.010
   PubMed Web of Science ®Google Scholar
• Huber, M. E., Kuznetsov, N., & Sternad, D. (2016). Persistence of reduced neuromotor noise in long-term motor skill learning. Journal of Neurophysiology, 116(6), 2922–2935. doi:10.1152/jn.00263.2016
   PubMed Web of Science ®Google Scholar
• Itaguchi, Y., & Fukuzawa, K. (2012a). Effects of arm stiffness and muscle effort on position reproduction error in the horizontal plane. Perceptual and Motor Skills, 114(3), 757–773. doi:10.2466/25.26.PMS.114.3.757-773
   PubMed Web of Science ®Google Scholar
• Itaguchi, Y., & Fukuzawa, K. (2012b). The influence of the indicator arm on end point distribution in proprioceptive localization with multi-joint arms. Experimental Brain Research, 222(1–2), 77–88. doi:10.1007/s00221-012-3196-3
   PubMed Web of Science ®Google Scholar
• Izawa, J., & Shadmehr, R. (2011). Learning from sensory and reward prediction errors during motor adaptation. PLoS Computational Biology, 7(3), e1002012. doi:10.1371/journal.pcbi.1002012
   PubMed Web of Science ®Google Scholar
• Kaida, K., Itaguchi, Y., & Iwaki, S. (2017). Interactive effects of visuomotor perturbation and an afternoon nap on performance and the flow experience. PLoS One, 12(2), e0171907. doi:10.1371/journal.pone.0171907
   PubMed Web of Science ®Google Scholar
• Khan, M. A., Franks, I. M., & Goodman, D. (1998). The effect of practice on the control of rapid aiming movements: Evidence for an interdependency between programming and feedback processing. The Quarterly Journal of Experimental Psychology: Section A, 51(2), 425–443. doi:10.1080/713755756
   Web of Science ®Google Scholar
• Krebs, H. I., Palazzolo, J. J., Dipietro, L., Ferraro, M., Krol, J., Rannekleiv, K., & Hogan, N. (2003). Rehabilitation robotics: Performance-based progressive robot-assisted therapy. Autonomous Robots, 15(1), 7–20. doi:10.1023/A:1024494031121
   Web of Science ®Google Scholar
• Lametti, D. R., Houle, G., & Ostry, D. J. (2007). Control of movement variability and the regulation of limb impedance. Journal of Neurophysiology, 98(6), 3516–3524. doi:10.1152/jn.00970.2007
   PubMed Web of Science ®Google Scholar
• Miyamoto, H., Morimoto, J., Doya, K., & Kawato, M. (2004). Reinforcement learning with via-point representation. Neural Networks, 17(3), 299–305. doi:10.1016/j.neunet.2003.11.004
   PubMed Web of Science ®Google Scholar
• Morita, Y., Ogawa, K., & Uchida, S. (2012). The effect of a daytime 2-hour nap on complex motor skill learning. Sleep and Biological Rhythms, 10(4), 302–309. doi:10.1111/j.1479-8425.2012.00576.x
   Web of Science ®Google Scholar
• Plamondon, R., & Alimi, A. M. (1997). Speed/accuracy trade-offs in target-directed movements. Behavioral and Brain Sciences, 20(2), 279–303. doi:10.1017/S0140525X97001441
   PubMed Web of Science ®Google Scholar
• Plihal, W., & Born, J. (1997). Effects of early and late nocturnal sleep on declarative and procedural memory. Journal of Cognitive Neuroscience, 9(4), 534–547. doi:10.1162/jocn.1997.9.4.534
   PubMed Web of Science ®Google Scholar
• Reis, J., Schambra, H. M., Cohen, L. G., Buch, E. R., Fritsch, B., Zarahn, E., & Krakauer, J. W. (2009). Noninvasive cortical stimulation enhances motor skill acquisition over multiple days through an effect on consolidation. Proceedings of the National Academy of Sciences, 106(5), 1590–1595. doi:10.1073/pnas.0805413106
   PubMed Web of Science ®Google Scholar
• Rieth, C. A., Cai, D. J., McDevitt, E. A., & Mednick, S. C. (2010). The role of sleep and practice in implicit and explicit motor learning. Behavioural Brain Research, 214(2), 470–474. doi:10.1016/j.bbr.2010.05.052
   PubMed Web of Science ®Google Scholar
• Schmidt, R. A., Zelaznik, H., Hawkins, B., Frank, J. S., & Quinn, J. T., Jr. (1979). Motor-output variability: A theory for the accuracy of rapid motor acts. Psychological Review, 86(5), 415. doi:10.1037/0033-295X.86.5.415
   Web of Science ®Google Scholar
• Shmuelof, L., Krakauer, J. W., & Mazzoni, P. (2012). How is a motor skill learned? Change and invariance at the levels of task success and trajectory control. Journal of Neurophysiology, 108(2), 578–594. doi:10.1152/jn.00856.2011
   PubMed Web of Science ®Google Scholar
• Tucker, M. A., Hirota, Y., Wamsley, E. J., Lau, H., Chaklader, A., & Fishbein, W. (2006). A daytime nap containing solely non-REM sleep enhances declarative but not procedural memory. Neurobiology of Learning and Memory, 86(2), 241–247. doi:10.1016/j.nlm.2006.03.005
   PubMed Web of Science ®Google Scholar
• van Beers, R. J. (2007). The sources of variability in saccadic eye movements. Journal of Neuroscience, 27(33), 8757–8770. doi:10.1523/JNEUROSCI.2311-07.2007
   PubMed Web of Science ®Google Scholar
• van Beers, R. J., Haggard, P., & Wolpert, D. M. (2004). The role of execution noise in movement variability. Journal of Neurophysiology, 91(2), 1050–1063. doi:10.1152/jn.00652.2003
   PubMed Web of Science ®Google Scholar
• Walker, M. P., Brakefield, T., Morgan, A., Hobson, J. A., & Stickgold, R. (2002). Practice with sleep makes perfect: Sleep-dependent motor skill learning. Neuron, 35(1), 205–211. doi:10.1016/S0896-6273(02)00746-8
   PubMed Web of Science ®Google Scholar
• Wolpert, D. M., Ghahramani, Z., & Flanagan, J. R. (2001). Perspectives and problems in motor learning. Trends in Cognitive Sciences, 5(11), 487–494. doi:10.1016/S1364-6613(00)01773-3
   PubMed Web of Science ®Google Scholar
• Woodworth, R. S. (1899). Accuracy of voluntary movement. The Psychological Review: Monograph Supplements, 3(3), i.
   Google Scholar
• Zelaznik, H. N., Mone, S., McCabe, G. P., & Thaman, C. (1988). Role of temporal and spatial precision in determining the nature of the speed–accuracy trade-off in aimed-hand movements. Journal of Experimental Psychology: Human Perception and Performance, 14(2), 221.
   Web of Science ®Google Scholar
• Zhou, X., Cao, X., & Ren, X. (2009). Speed–accuracy tradeoff in trajectory-based tasks with temporal constraint. Paper presented at the IFIP Conference on Human–Computer Interaction.
   Google Scholar
• Zhou, X., & Ren, X. (2010). An investigation of subjective operational biases in steering tasks evaluation. Behaviour & Information Technology, 29(2), 125–135. doi:10.1080/01449290701773701
   Web of Science ®Google Scholar