Adapting attentional control settings in a shape-changing environment

Area of Science:

• Cognitive Psychology
• Visual Perception
• Human-Computer Interaction

Background:

• Humans dynamically adjust attentional control in complex visual environments.
• Adaptation mechanisms to changing environments, particularly in visual search, are not fully understood.

Purpose of the Study:

• To investigate how observers adapt target choices in dynamic visual search tasks.
• To examine the influence of changing distractor shapes on attentional control settings.
• To compare online and lab-based assessment of adaptive visual search.

Main Methods:

• Two experiments (online and lab) using a visual search task with color singleton targets and changing shape distractors.
• Participants selected between two equally colored targets with differing shapes.
• Bayesian modeling analyzed adaptation strength, delay, and bias.

Main Results:

• Participants adapted target choices based on the shape ratio of distractors.
• A tendency to select targets with fewer shape distractors was observed, despite color-only solvability.
• Adaptation tracked regularities in the changing environment, with Bayesian models quantifying parameters.

Conclusions:

• Shape, even as a non-target-defining feature, significantly influences attentional control adjustments.
• Systematic changes in distractor features impact search behavior and attentional settings.
• The study validates shape as a suitable feature for online adaptive choice experiments.