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Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
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Cognitive decision-making strategies in a haptic angle sorting task: a behavioral experimental study.

Yulong Liu1, Yali Xiang1, Huazhi Li2

  • 1Key Laboratory of Intelligent Monitoring on Navigation Safety, Hunan University of Information Technology, Changsha, China.

Frontiers in Neuroscience
|April 15, 2026
PubMed
Summary
This summary is machine-generated.

Humans can improve decision-making efficiency in tactile tasks by choosing their own strategies, without sacrificing accuracy. This highlights the brain's adaptive strategy selection for optimal performance.

Keywords:
angle discriminationcognitive flexibilitydecision-making strategyefficiency-precision trade-offhaptic perceptionsorting tasks

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Human-Computer Interaction

Background:

  • Haptic angle discrimination is key to understanding perceptual decision-making.
  • Traditional studies focused on sensitivity, overlooking cognitive strategy's impact.
  • Cognitive strategies significantly influence task performance in tactile sorting.

Purpose of the Study:

  • To investigate how different cognitive strategies affect behavioral performance in tactile angle discrimination.
  • To compare accuracy and efficiency between a fixed strategy and self-selected strategies.
  • To explore the adaptive nature of human decision-making in perceptual tasks.

Main Methods:

  • Recruited 18 healthy subjects for an Angle ranking task.
  • Subjects completed the task using a fixed 'successive minimum Angle' strategy and a self-selected strategy.
  • Perceived uncertainty (Sigma) and number of adjustments were used as indicators for discrimination accuracy and decision-making efficiency, respectively, analyzed via maximum likelihood estimation.

Main Results:

  • Self-selected strategies significantly improved decision-making efficiency (fewer adjustments, p < 0.001).
  • Discrimination accuracy (Sigma value) showed no significant loss with self-selected strategies (p > 0.05).
  • Most subjects (16/18) adopted an advanced 'double-boundary-limit transition' strategy, optimizing working memory and comparisons.

Conclusions:

  • Strategy flexibility optimizes decision-making in tactile sequencing tasks.
  • The human cognitive system adaptively selects strategies for an optimal efficiency-accuracy trade-off.
  • Findings are crucial for developing perceptual decision-making models and understanding adaptive behavior.