Quantifying Motor Task Performance by Bounded Rational Decision Theory.

ABSTRACT: Expected utility models are often used as a normative baseline for human performance in motor tasks. However, this baseline ignores computational costs that are incurred when searching for the optimal strategy. In contrast, bounded rational decision-theory provides a normative baseline that takes computational effort into account, as it describes optimal behavior of an agent with limited information-processing capacity to change a prior motor strategy (before information-processing) into a posterior strategy (after information-processing). Here, we devised a pointing task where subjects had restricted reaction and movement time. In particular, we manipulated the permissible reaction time as a proxy for the amount of computation allowed for planning the movements. Moreover, we tested three

SUBMITTER: Schach S 

PROVIDER: S-EPMC6302104 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature