Related Experiment Video
Updated: Dec 7, 2025

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
Published on: August 26, 2018
Proactive and reactive control mechanisms in navigational search
Josie Briscoe1, Iain D Gilchrist1
1School of Psychological Science, University of Bristol, Bristol, UK.
This study reveals how proactive and reactive cognitive control guide navigational search. Proactive control aids goal-directed searching, while reactive control prevents revisiting salient locations, demonstrating dual mechanisms for effective navigation.
Area of Science:
- Cognitive Psychology
- Neuroscience
- Human Behaviour
Background:
- Cognitive control, encompassing reactive and proactive mechanisms, is crucial for complex human behaviors.
- Understanding these control mechanisms is vital for explaining goal-directed actions like navigational search.
Purpose of the Study:
- To investigate the distinct roles of reactive and proactive cognitive control in navigational search.
- To determine how these control mechanisms influence search efficiency and error patterns.
Main Methods:
- Two experiments involved participants searching for a hidden target in a floor array with varying location salience (flashing vs. static lights).
- An a-priori rule guided participants on probable target locations.
- Experiment 2 employed a Dot Pattern Expectancy task to differentiate participants' dominant control modes (reactive vs. proactive).
Main Results:
- Both experiments showed a bias towards searching rule-adherent locations.
- Search errors (revisits) were more frequent under specific rule-salience conditions.
- Participants with a reactive control mode exhibited more revisits to salient locations.
Conclusions:
- Proactive control facilitates goal-maintained search behavior.
- Reactive control helps avoid revisiting salient locations, thus preventing search errors.
- These findings support a dual-mechanism framework for cognitive control in navigational search.
Related Concept Videos
Control Systems
At the heart...
Feedback control systems
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
Open and closed-loop control systems
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
Root-Locus Method
This system can be represented by a block...
Controller Configurations
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
Control Systems: Applications
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...

