Are perceptuo-motor decisions really more optimal than cognitive decisions?
•Demonstrates limits on inferring human optimality from optimal models.•Human perceptuo-motor performance was contrasted with a standard optimal model.•Behavioral results and simulations show that the optimal standard is relative.•Task parameters and modeled constraints affect optimality classificat...
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Veröffentlicht in: | Cognition 2014-03, Vol.130 (3), p.397-416 |
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Sprache: | eng |
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Zusammenfassung: | •Demonstrates limits on inferring human optimality from optimal models.•Human perceptuo-motor performance was contrasted with a standard optimal model.•Behavioral results and simulations show that the optimal standard is relative.•Task parameters and modeled constraints affect optimality classifications.•Limits on inference about optimality likely generalize beyond the tested model.
Human high-level cognitive decisions appear sub-optimal (Kahneman, Slovic, & Tversky, 1982; Kahneman & Tversky, 1979). Paradoxically, perceptuo-motor decisions appear optimal, or nearly optimal (Trommershäuser, Maloney, & Landy, 2008). Here, we highlight limitations to the comparison of performance between and within domains. These limitations are illustrated by means of two perceptuo-motor decision-making experiments. The results indicate that participants did not optimize fundamental performance-related factors (precision and time usage), even though standard analyses may have classed participants as ‘optimal’. Moreover, simulations and comparisons across our studies demonstrate that optimality depends on task difficulty. Thus, it seems that a standard model of perceptuo-motor decision-making fails to provide an absolute standard of performance. Importantly, this appears to be a limitation of optimal models of human behaviour in general. This, in conjunction with non-trivial evaluative- and methodological differences, suggests that verdicts favouring perceptuo-motor, or perceptual, systems over higher-level cognitive systems in terms of level of performance are premature. |
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ISSN: | 0010-0277 1873-7838 |
DOI: | 10.1016/j.cognition.2013.09.009 |