Risky visuomotor choices during rapid reaching in childhood

Abstract Many everyday actions are implicit gambles because imprecisions in our visuomotor systems place probabilities on our success or failure. Choosing optimal action strategies involves weighting the costs and gains of potential outcomes by their corresponding probabilities, and requires stable representations of one's own imprecisions. How this ability is acquired during development in childhood when visuomotor skills change drastically is unknown. In a rewarded rapid reaching task, 6‐ to 11‐year‐old children followed ‘risk‐seeking’ strategies leading to overly high point‐loss. Adults' performance, in contrast, was close to optimal. Children's errors were not explained by distorted estimates of value or probability, but may reflect different action selection criteria or immature integration of value and probability information while planning movements. These findings provide a starting point for understanding children's risk‐taking in everyday visuomotor situations when suboptimal choices can be dangerous. Moreover, children's risky visuomotor decisions mirror those reported for non‐motor gambles, raising the possibility that common processes underlie development across decision‐making domains.

[1]  P. Rousseeuw.  Least Median of Squares Regression , 1984 .

[2]  K. Haywood.  Life Span Motor Development , 1986 .

[3]  K. Schneider,et al.  The development of children's achievement-related expectancies and subjective uncertainty. , 1989, Journal of experimental child psychology.

[4]  Francis Suraweera.  A fast algorithm for the minimum spanning tree , 1989 .

[5]  J Kingma.  Age and Gender Distributions of Pedestrian Accidents across the Life-Span , 1994, Perceptual and motor skills.

[6]  K. Adolph,et al.  Learning in the development of infant locomotion. , 1997, Monographs of the Society for Research in Child Development.

[7]  D H Brainard,et al.  The Psychophysics Toolbox. , 1997, Spatial vision.

[8]  P. Rousseeuw,et al.  A fast algorithm for the minimum covariance determinant estimator , 1999 .

[9]  William T. Harbaugh,et al.  Risk Attitudes of Children and Adults: Choices Over Small and Large Probability Gains and Losses , 2002 .

[10]  Michael S Landy,et al.  Statistical decision theory and the selection of rapid, goal-directed movements. , 2003, Journal of the Optical Society of America. A, Optics, image science, and vision.

[11]  M. Landy,et al.  Statistical decision theory and trade-offs in the control of motor response. , 2003, Spatial vision.

[12]  J. Deloache,et al.  Scale Errors Offer Evidence for a Perception-Action Dissociation Early in Life , 2004, Science.

[13]  C. Von Hofsten.  An action perspective on motor development. , 2004, Trends in cognitive sciences.

[14]  M. Landy,et al.  Optimal Compensation for Changes in Task-Relevant Movement Variability , 2005, The Journal of Neuroscience.

[15]  Mia Hubert,et al.  LIBRA: a MATLAB library for robust analysis , 2005 .

[16]  Konrad Paul Kording,et al.  Review TRENDS in Cognitive Sciences Vol.10 No.7 July 2006 Special Issue: Probabilistic models of cognition Bayesian decision theory in sensorimotor control , 2022 .

[17]  Julie L. Booth,et al.  Developmental and individual differences in pure numerical estimation. , 2006, Developmental psychology.

[18]  M. Landy,et al.  Humans Rapidly Estimate Expected Gain in Movement Planning , 2006, Psychological science.

[19]  Ty W. Boyer.  The development of risk-taking: A multi-perspective review , 2006 .

[20]  I. Levin,et al.  Stability of choices in a risky decision-making task: a 3-year longitudinal study with children and adults , 2007 .

[21]  Peter W Battaglia,et al.  Humans Trade Off Viewing Time and Movement Duration to Improve Visuomotor Accuracy in a Fast Reaching Task , 2007, The Journal of Neuroscience.

[22]  J. Vincenten,et al.  European report on child injury prevention. , 2008 .

[23]  Pete R. Jones,et al.  Development of Cue Integration in Human Navigation , 2008, Current Biology.

[24]  E. Rolls,et al.  Cerebral Cortex Advance Access published June 22, 2007 Expected Value, Reward Outcome, and Temporal Difference Error Representations in a Probabilistic Decision Task , 2022 .

[25]  M. Landy,et al.  Decision making, movement planning and statistical decision theory , 2008, Trends in Cognitive Sciences.

[26]  Sarah R. Heilbronner,et al.  Cognitive influences on risk-seeking by rhesus macaques. , 2008, Judgment and decision making.

[27]  Karen E Adolph,et al.  Locomotor experience and use of social information are posture specific. , 2008, Developmental psychology.

[28]  David C. Burr,et al.  Young Children Do Not Integrate Visual and Haptic Form Information , 2008, Current Biology.

[29]  L. Maloney,et al.  Economic decision-making compared with an equivalent motor task , 2009, Proceedings of the National Academy of Sciences.

[30]  M. Nardini,et al.  Fusion of visual cues is not mandatory in children , 2010, Proceedings of the National Academy of Sciences.

[31]  A. Schlottmann,et al.  Skill-Related Uncertainty and Expected Value in 5- to 7-Year-Olds , 2010 .

[32]  C. Büchel,et al.  Neural representations of subjective reward value , 2010, Behavioural Brain Research.

[33]  David J. Paulsen,et al.  Decision-Making Under Risk in Children, Adolescents, and Young Adults , 2011, Front. Psychology.

[34]  John M. Franchak,et al.  What infants know and what they do: perceiving possibilities for walking through openings. , 2012, Developmental psychology.

[35]  U. Hahn,et al.  Perceptuo-motor, cognitive, and description-based decision-making seem equally good , 2013, Proceedings of the National Academy of Sciences.

[36]  Richard C. Clarke,et al.  Human development of the ability to learn from bad news , 2013, Proceedings of the National Academy of Sciences.

[37]  M. Nardini,et al.  When vision is not an option: children’s integration of auditory and haptic information is suboptimal , 2014, Developmental science.

[38]  A. Galván,et al.  Neural representation of expected value in the adolescent brain , 2014, Proceedings of the National Academy of Sciences.

[39]  John M. Franchak,et al.  Perception-action development from infants to adults: perceiving affordances for reaching through openings. , 2014, Journal of experimental child psychology.

[40]  R. Mccall,et al.  The Genetic and Environmental Origins of Learning Abilities and Disabilities in the Early School , 2007, Monographs of the Society for Research in Child Development.