Psychonomic Bulletin & Review

, Volume 5, Issue 2, pp 173–196 | Cite as

Metabolic energy expenditure and the regulation of movement economy



Over the years, various psychological theories have embraced notions ofeconomy, efficiency, orleast effort to explain how complex movement sequences are organized and modified. The purpose of the present paper was to synthesize various perspectives on this issue, to identify a common hypothesis, and to propose a conceptual framework that explains how movement economy is regulated. The framework presented here postulates that adaptive movement patterns emerge as a function of the organism’s propensity to minimize metabolic energy expenditure with respect to task, environment, and organism constraints to action. An important role is also proposed for interoceptive sensory information in guiding motor skill learning and control. The paper concludes by suggesting future directions in four areas of movement economy research that contribute to understanding the learning and control of movement in both human and nonhuman organisms.


  1. Adams, J. A. (1968). Response feedback and learning.Psychological Bulletin,70, 486–504.Google Scholar
  2. Adams, J. A. (1971). A closed-loop theory of motor learning.Journal of Motor Behavior,3, 111–149.PubMedGoogle Scholar
  3. Adams, J. A. (1977). Feedback theory of how joint receptors regulate the timing and positioning of a limb.Psychological Review,84, 504–523.PubMedGoogle Scholar
  4. Aleshinsky, S. Y. (1986). An energy “sources” and “fractions” approach to the mechanical energy expenditure problem: II. Movement of the multi-link model.Journal of Biomechanics,19, 295–300.PubMedGoogle Scholar
  5. Anderson, T. (1996). Biomechanics and running economy.Sports Medicine,22, 76–89.PubMedGoogle Scholar
  6. Asami, T., Togari, H., Kikuchi, T., Adachi, N., Yamamoto, K., Kitagawa, K., &Sano, Y. (1976). Energy efficiency of ball kicking. In P. V. Komi (Ed.),Biomechanics (Vol. 13, pp. 135–139). Baltimore: University Park Press.Google Scholar
  7. Bannister, R. G., Cunningham, D. J. C., &Douglas, C. G. (1954). The carbon dioxide stimulus to breathing in severe exercise.Journal of Physiology,125, 90–117.PubMedGoogle Scholar
  8. Bechbache, R. R., Chow, H. H. K., Duffin, J., &Orsini, E. C. (1979). The effects of hypercapnia, hypoxia, exercise and anxiety on the pattern of breathing in man.Journal of Physiology,293, 285–300.PubMedGoogle Scholar
  9. Bechbache, R. R., &Duffin, J. (1977). The entrainment of breathing frequency by exercise rhythm.Journal of Physiology,272, 553–561.PubMedGoogle Scholar
  10. Beek, P. J., Peper, C. E., &van Wieringen, P. C.W. (1992). Frequency locking, frequency modulation, and bifurcations in dynamic movement systems. In G. E. Stelmach & J. Requin (Eds.),Tutorials in motor behavior II (pp. 599–622) Amsterdam: Elsevier.Google Scholar
  11. Bernstein, N. A. (1967).The coordination and regulation of movements. London: Pergamon.Google Scholar
  12. Bobbert, A. C. (1960). Energy expenditure in level and grade walking.Journal of Applied Physiology,15, 1015–1021.Google Scholar
  13. Borg, G. A.V. (1973). Perceived exertion: A note on history and methods.Medicine & Science in Sport,5, 90–93.Google Scholar
  14. Bramble, D. M., &Carrier, D. R. (1983). Running and breathing in mammals.Science,219, 251–256.PubMedGoogle Scholar
  15. Brancazio, P. J. (1981). Physics of basketball.American Journal of Physics,49, 356–365.Google Scholar
  16. Brener, J. (1986). Operant reinforcement, feedback and the efficiency of learned motor control. In G. H. Coles, E. Donchin, & S.W. Porges (Eds.),Psychophysiology: Systems, processes and applications (pp. 309–327). New York: Guilford.Google Scholar
  17. Brener, J. (1987). Behavioral energetics: Some effects of uncertainty on the mobilization and distribution of energy.Psychophysiology,24, 499–512.PubMedGoogle Scholar
  18. Brener, J., &Mitchell, S. (1989). Changes in energy expenditure and work during response acquisition in rats.Journal of Experimental Psychology: Animal Behavior Processes,15, 166–175.PubMedGoogle Scholar
  19. Brener, J., Phillips, K., &Sherwood, A. (1983). Energy expenditure during response-dependent and response-independent food delivery in rats.Psychophysiology,20, 384–392.PubMedGoogle Scholar
  20. Carlton, L. G. (1979). Control processes in the production of discrete aiming responses.Journal of Human Movement Studies,5, 115–124.Google Scholar
  21. Cavanagh, P. R., &Kram, R. (1985a). The efficiency of human movement—a statement of the problem.Medicine & Science in Sports & Exercise,17, 304–308.Google Scholar
  22. Cavanagh, P. R., &Kram, R. (1985b). Mechanical and muscular factors affecting the efficiency of human movement.Medicine & Science in Sports & Exercise,17, 326–331.Google Scholar
  23. Cavanagh, P. R., &Williams, K. R. (1982). The effect of stride length variation on oxygen uptake during distance running.Medicine & Science in Sports & Exercise,14, 30–35.Google Scholar
  24. Chernigovskiy, V. N. (1967).Interoceptors. Washington, DC: American Psychological Association.Google Scholar
  25. Chow, C. J., &Jacobson, D. H. (1971). Studies of human locomotion via optimal programming.Mathematical Biosciences,10, 239–306.Google Scholar
  26. Coleman, W. M. (1921). The psychological significance of bodily rhythms.Journal of Comparative & Physiological Psychology,1, 213–220.Google Scholar
  27. De Camp, J. E. (1920). Relative distance as a factor in the white rat’s selection of a path.Psychobiology,2, 245–253.Google Scholar
  28. DeVries, H. A., &Housh, T. J. (1994).Physiology of exercise for physical education, athletics and exercise science (5th ed.). Dubuque, IA: Brown & Benchmark.Google Scholar
  29. Diedrich, F. J., &Warren, W.H., Jr. (1995). Why change gaits? Dynamics of the walk-run transition.Journal of Experimental Psychology: Human Perception & Performance,21, 183–202.Google Scholar
  30. Durand, M., Geoffroi, V., Varray, A., &Prefault, C. (1994). Study of the energy correlates in the learning of a complex self-paced cyclical skill.Human Movement Science,13, 785–799.Google Scholar
  31. Falls, H. B., &Humphrey, L. D. (1976). Energy cost of walking and running in young women.Medicine & Science in Sports,8, 9–13.Google Scholar
  32. Fitts, P. M., &Posner, M. I. (1967).Human performance. Belmont, CA: Brooks/Cole.Google Scholar
  33. Flash, T. (1990). The organization of human arm trajectory control. In J. M. Winters & S. L-Y. Woo (Eds.),Multiple muscle systems: Biomechanics and movement organization (pp. 283–301). New York: Springer-Verlag.Google Scholar
  34. Freeman, G. L. (1948).The energetics of human behavior. Ithaca, NY: Cornell University Press.Google Scholar
  35. Gibson, J. J. (1950).The perception of the visual world. Boston: Houghton Mifflin.Google Scholar
  36. Gibson, J. J. (1958). Visually controlled locomotion and visual orientation in animals.British Journal of Psychology,49, 182–194.PubMedGoogle Scholar
  37. Goldstein, D. S., Ross, R. S., &Brady, J. V. (1977). Biofeedback heart rate training during exercise.Biofeedback & Self Regulation,2, 107–126.Google Scholar
  38. Guthrie, E. R. (1935).The psychology of learning. New York: Harper.Google Scholar
  39. Haken, H. (1991). Synergetics of movement coordination: Reaction to Bullock and Grossberg.Human Movement Science,10, 113–115.Google Scholar
  40. Haken, H, Kelso, J. A. S., &Bunz, H. (1985). A theoretical model of phase transitions in human hand movements.Biological Cybernetics,51, 347–356.PubMedGoogle Scholar
  41. Hill, A. V. (1922). The maximum work and mechanical efficiency of human muscles and their most economical speed.Journal of Physiology,56, 19–41.PubMedGoogle Scholar
  42. Hogan, N., &Flash, T. (1987). Moving gracefully: Quantitative theories of motor coordination.Trends in Neurosciences,10, 170–174.Google Scholar
  43. Holt, K. G., Jeng, S. F., Ratcliffe, R., &Hamill, J. (1995). Energetic cost and stability during human walking at the preferred stride frequency.Journal of Motor Behavior,27, 164–178.PubMedGoogle Scholar
  44. Honzik, C. H. (1936). The sensory basis of maze learning in rats.Comparative Psychology Monographs,13 (Whole No.64).Google Scholar
  45. Hoyt, D. F., &Taylor, C. R. (1981). Gait and the energetics of locomotion in horses.Nature,292, 239–240.Google Scholar
  46. Hreljac, A. (1993). Preferred and energetically optimal gait transition speeds in human locomotion.Medicine & Science in Sports & Exercise,25, 1158–1162.Google Scholar
  47. Hull, C. L. (1943).Principles of behavior. New York: Appleton-Century.Google Scholar
  48. Hunter, W. S. (1930). A further consideration of the sensory control of the maze habit in the white rat.Journal of Genetic Psychology,38, 3–19.Google Scholar
  49. Inman, V. T., Ralston, H. J., &Todd, F. (1981).Human walking. Baltimore: Wilkins.Google Scholar
  50. Kay, J. D. S., Petersen, E. S., &Vejby-Christensen, H. (1975). Breathing in man during steady-state exercise on the bicycle at two pedalling frequencies, and during treadmill walking.Journal of Physiology,251, 645–656.PubMedGoogle Scholar
  51. Keele, S.W. (1968). Movement control in skilled motor performance.Psychological Bulletin,70, 387–403.Google Scholar
  52. Keele, S. W. (1981). Behavioral analysis of motor control. In V. B. Brooks (Ed.),Handbook of physiology: Section 1. Vol. 2: Motor control (pp. 1391–1413). Bethesda, MD: American Physiological Society.Google Scholar
  53. Keele, S.W., &Posner, M. I. (1968). Processing of visual feedback in rapid movements.Journal of Experimental Psychology,77, 155–158.PubMedGoogle Scholar
  54. Kelso, J. A. S. (1990). Phase transitions: Foundations of behavior. In H. Haken & M. Stadler (Eds.),Synergetics of cognition (pp. 249–268). Heidelberg: Springer-Verlag.Google Scholar
  55. Kirby, R. L., Nugent, S. T., Marlow, R.W., MacLeod, D. A., &Marble, A. E. (1989). Coupling of cardiac and locomotor rhythms.Journal of Applied Physiology,66, 323–329.PubMedGoogle Scholar
  56. Krebs, J. R. (1978). Optimal foraging: Decision rules for predators. In J. R. Krebs & N. B. Davies (Eds.),Behavioral ecology: An evolutionary approach (pp. 23–63). Oxford: Blackwell.Google Scholar
  57. Kugler, P. N., Kelso, J. A. S., &Turvey, M. T. (1980). On the concept of coordinative structures as dissipative structures: 1. Theoretical lines of convergence. In G. E. Stelmach & J. Requin (Eds.),Tutorials in motor behavior (pp. 3–47). Amsterdam: North-Holland.Google Scholar
  58. Kugler, P. N., Kelso, J. A.S., &Turvey, M. T. (1982). On the control and coordination of naturally developing systems. In J. A. S. Kelso & J. E. Clark (Eds.),The development of movement control and coordination (pp. 5–78). New York: Wiley.Google Scholar
  59. Kugler, P. N., &Shaw, R. E. (1990). Symmetry and symmetry-breaking in thermodynamic and epistemic engines: A coupling of first and second laws. In H. Haker & M. Stadler (Eds.),Synergetics of cognition (pp. 296–331). Heidelberg: Springer-Verlag.Google Scholar
  60. Kugler, P. N., &Turvey, M. T. (1987).Information, natural law, and the self-assembly of rhythmic movement. Hillsdale, NJ: Erlbaum.Google Scholar
  61. Kuo, Z.Y. (1922). The nature of unsuccessful acts and their order of elimination in animal learning.Journal of Comparative Psychology,2, 1–27.Google Scholar
  62. Lashley, K. S., &Ball, J. (1929). Spinal conduction and kinaesthetic sensitivity in the maze habit.Journal of Comparative Psychology,9, 71–106.Google Scholar
  63. Lashley, K. S., &McCarthy, D. A. (1926). The survival of the maze habit after cerebellar injuries.Journal of Comparative Psychology,6, 423–434.Google Scholar
  64. Lee, D. N. (1978). The function of vision. In H. Pick & E. Salzmann (Eds.),Modes of perceiving and processing information (pp. 159–170). Hillsdale, NJ: Erlbaum.Google Scholar
  65. Lee, D. N. (1980). Visuo-motor coordination in space time. In G. E. Stelmach & J. Requin (Eds.),Tutorials in motor behavior (pp. 281–295). Amsterdam: North-Holland.Google Scholar
  66. Lin, D. C. (1980).Optimal movement patterns of the lower extremity in running. Unpublished doctoral dissertation, University of Illinois at Urbana-Champaign.Google Scholar
  67. Lo, C. R., &Johnston, D. W. (1984a). Cardiovascular feedback control during dynamic exercise.Psychophysiology,21, 199–206.PubMedGoogle Scholar
  68. Lo, C. R., &Johnston, D. W. (1984b). The effect of the cardiovascular response to exercise using feedback of the product of interbeat interval and pulse transit time.Psychosomatic Medicine,46, 115–125.PubMedGoogle Scholar
  69. Mahler, D. A., Shuhart, C. R, Brew, E., &Stukel, T. A. (1991). Ventilatory responses and entrainment of breathing during rowing.Medicine & Science in Sports & Exercise,23, 186–192.Google Scholar
  70. Margaria, R. (1976).Biomechanics and energetics of muscular exercise. Oxford: Oxford University Press, Clarendon Press.Google Scholar
  71. Margaria, R., Cerretelli, P., Aghemo, P., &Sassi, G. (1963). Energy cost of running.Journal of Applied Physiology,18, 367–370.PubMedGoogle Scholar
  72. McCulloch, T. L. (1934). Performance preferential of the white rat in force-resisting and spatial dimensions.Journal of Comparative Psychology,18, 85–111.Google Scholar
  73. Nelson, W. L. (1983). Physical principles for economies of skilled movements.Biological Cybernetics,46, 135–147.PubMedGoogle Scholar
  74. Newell, K. M. (1985). Coordination, control and skill. In D. Goodman, I. Franks, & R. Wilberg (Eds.),Differing perspectives in motor control (pp. 295–317). Amsterdam: North-Holland.Google Scholar
  75. Newell, K. M. (1986). Constraints on the development of coordination. In M. G. Wade & H. T. A. Whiting (Eds.),Motor development in children: Aspects of coordination and control (pp. 341–360). Boston: Martinus Nijhoff.Google Scholar
  76. Nordeen-Snyder, K. (1977). The effect of bicycle seat height variation upon oxygen consumption and lower limb kinematics.Medicine & Science in Sports,9, 113–117.Google Scholar
  77. Notterman, J. M., &Mintz, D. E. (1965).Dynamics of response. New York: Wiley.Google Scholar
  78. Patterson, W. M. (1916).The rhythm of prose. New York: Columbia University Press.Google Scholar
  79. Perski, A., &Engel, B. T. (1980). The role of behavioral conditioning in the cardiovascular response to exercise.Biofeedback & Self Regulation,5, 91–104.Google Scholar
  80. Poole, P. M., &Ross, B. (1983). The energy cost of sheep shearing.Search,14, 3–4.Google Scholar
  81. Poulton, E. C. (1957). On prediction in skilled movements.Psychological Bulletin,54, 467–478.PubMedGoogle Scholar
  82. Razran, G. (1961). The observable unconscious and the inferable conscious in current Soviet psychophysiology: Interoceptive conditioning, semantic conditioning, and the orienting reflex.Psychological Review,68, 81–147.Google Scholar
  83. Robb, M. D. (1972).The dynamics of motor-skill acquisition. Englewood Cliffs, NJ: Prentice-Hall.Google Scholar
  84. Rosenbaum, D. A., Loukopoulos, L. D., Meulenbroek, R. G. J., Vaughan, J., &Engelbrecht, S. E. (1995). Planning reaches by evaluating stored postures.Psychological Review,102, 28–67.PubMedGoogle Scholar
  85. Salvendy, G. (1972). Physiological and psychological aspects of paced and unpaced performance.Acta Physiologica Academiae Scientiarum Hungaricae,42, 257–275.Google Scholar
  86. Salvendy, G., &Pilitsis, J. (1974). Improvements in physiological performance as a function of practice.International Journal of Production Research,12, 519–531.Google Scholar
  87. Sams, C. F., &Tolman, E. C. (1929). Time discrimination in white rats.Journal of Comparative Psychology,5, 255–263.Google Scholar
  88. Schmidt, R. A. (1982).Motor control and learning: A behavioral emphasis. Champaign, IL: Human Kinetics.Google Scholar
  89. Seashore, R. H. (1926). Studies in motor rhythm.Psychological Monographs,36, 142–189.Google Scholar
  90. Shapiro, D. C. (1977). A preliminary attempt to determine the duration of a motor program. In D. M. Landers & R.W. Christina (Eds.),Psychology of motor behavior and sport (Vol. 1, pp. 17–24). Urbana, IL: Human Kinetics.Google Scholar
  91. Shapiro, D. C., Zernicke, R. F., Gregor, R. J., &Diestel, J. D. (1981). Evidence for generalized motor programs using gait pattern analysis.Journal of Motor Behavior,13, 33–47.PubMedGoogle Scholar
  92. Sherrington, C. S. (1947).The integrative action of the nervous system. New Haven: Yale University Press. (Original work published 1906)Google Scholar
  93. Sherwood, A., Allen, M. T., Obrist, P. A., &Langer, A.W. (1986). Evaluation of beta-adrenergic influences in cardiovascular and metabolic adjustments to physical and psychological stress.Psychophysiology,23, 89–104.PubMedGoogle Scholar
  94. Singer, R. N. (1968).Motor learning and human performance. London: Collier-Macmillan.Google Scholar
  95. Solomon, R. L. (1948). The influence of work on behavior.Psychological Bulletin,45, 1–40.PubMedGoogle Scholar
  96. Sparrow, W. A. (1983). The efficiency of skilled performance.Journal of Motor Behavior,15, 237–261.PubMedGoogle Scholar
  97. Sparrow, W. A. (1992). Measuring changes in coordination and control. In J. J. Summers (Ed.),Approaches to the study of motor control and learning (pp. 147–162). Amsterdam: Elsevier.Google Scholar
  98. Sparrow, W. A. &Hughes, K. (1997, April).Minimum principles in human learning: The effects of practice and non-preferred work rates on metabolic energy expenditure and perceived exertion. Paper presented at the 24th Annual Experimental Psychology Conference, Deakin University, Victoria, Australia.Google Scholar
  99. Sparrow, W. A., &Irizarry-Lopez, V. M. (1987). Mechanical efficiency and metabolic cost as measures of learning a novel gross motor task.Journal of Motor Behavior,19, 240–264.PubMedGoogle Scholar
  100. Sparrow W. A., &Newell, K. M. (1994). Energy expenditure and motor performance relationships in humans learning a motor task.Psychophysiology,31, 338–346.PubMedGoogle Scholar
  101. Sparrow, W. A., Shinkfield, A. J., Chow, S., &Begg, R. K. (1996). Characteristics of gait in stepping over obstacles.Human Movement Science,15, 605–622.Google Scholar
  102. Steinacker, J. M., Both, M., &Whipp, B. J. (1993). Pulmonary mechanics and entrainment of respiration and stroke rate during rowing.International Journal of Sports Medicine,14 (Suppl. 1), S15-S19.PubMedGoogle Scholar
  103. Summers, J. J. (1977). The relationship between the sequencing and timing components of a skill.Journal of Motor Behavior,9, 49–59.Google Scholar
  104. Thompson, M. E. (1944). An experimental investigation of the gradient of reinforcement in maze learning.Journal of Experimental Psychology,34, 390–403.Google Scholar
  105. Tolman, E. C. (1932).Purposive behavior in animals and men. New York: Century.Google Scholar
  106. Tsai, L. S. (1932). The laws of minimum effort and maximum satisfaction in animal behaviour.Monograph of the National Institute of Psychology [Peiping, China], No. 1. [Abstracted inPsychological Abstracts (1932),6, No. 4329]Google Scholar
  107. Turner, J. R., &Carroll, D. (1985). Heart rate and oxygen consumption during mental arithmetic, a video game, and graded exercise: Further evidence of metabolically-exaggerated cardiac adjustments?Psychophysiology,21, 261–267.Google Scholar
  108. Turvey, M. T. (1977). Preliminaries to a theory of action with reference to vision. In R. Shaw & J. Bransford (Eds.),Perceiving, acting, and knowing (pp. 211–265). Hillsdale, NJ: Erlbaum.Google Scholar
  109. Turvey, M. T. (1990). Coordination.American Psychologist,45, 938–953.PubMedGoogle Scholar
  110. Turvey, M. T., &Fitzpatrick, P. (1993). Commentary: Development of perception-action systems and general principles of pattern formation.Child Development,64, 1175–1190.PubMedGoogle Scholar
  111. Uno, Y., Kawato, M., &Suzuki, R. (1989). Formation and control of optimal trajectory in human multijoint arm movement.Biological Cybernetics,61, 89–101.PubMedGoogle Scholar
  112. Wann, J. (1987). Trends in refinement and optimization of fine-motor trajectories: Observations from an analysis of the handwriting of primary school children.Journal of Motor Behavior,19, 13–37.Google Scholar
  113. Warren, W. H. (1984). Perceiving affordances: Visual guidance of stair climbing.Journal of Experimental Psychology: Human Perception & Performance,10, 683–703.Google Scholar
  114. Waters, R. H. (1937). The principle of least effort in learning.Journal of General Psychology,16, 3–20.Google Scholar
  115. Watson, J. B. (1907). Kinaesthetic and organic sensations: Their role in the reactions of the white rate to the maze.Psychological Review Monograph Supplements,8 (2, Whole No. 33).Google Scholar
  116. Whipp, B. J., &Wasserman, K. (1969). Efficiency of muscular work.Journal of Applied Physiology,26, 644–648PubMedGoogle Scholar
  117. Winter, D. A. (1979). A new definition of mechanical work done in human movement.Journal of Applied Physiology,46, 79–83.PubMedGoogle Scholar
  118. Woodworth, R. S. (1899). The accuracy of voluntary movement.Psychological Review,3 (Suppl. 2, Whole No. 13).Google Scholar
  119. Wyndham, C. H., Morrison, J. F., Williams, C. G., Strydom, N. B., von Rahden, M. J. E., Holdsworth, L. D., van Grann, C. H., &van Rensburg, A. J. (1966). Inter- and intra-individual differences in energy expenditure and mechanical efficiency.Ergonomics,9, 17–29.PubMedGoogle Scholar
  120. Yoshioka, J. G. (1929). Weber’s law in the discrimination of maze distance by the white rat.University of California Publications in Psychology,4, 155–184.Google Scholar
  121. Zelaznik, H. N., Hawkins, B., &Kisselburgh, L. (1983). Rapid visual feedback processing in single-aiming movements.Journal of Motor Behavior,15, 217–236.PubMedGoogle Scholar
  122. Zipf, G. K. (1949).Human behavior and the principle of least effort. Cambridge, MA: Addison-Wesley.Google Scholar

Copyright information

© Psychonomic Society, Inc. 1998

Authors and Affiliations

  1. 1.School of Human MovementDeakin UniversityBurwoodAustralia
  2. 2.Pennsylvania State UniversityUniversity Park

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