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GridIntegration

Overview

This repository contains a replication of Brockmole et al. (2002), adapted to study aphantasia. The experiment is a visual working memory task where participants view two sequentially presented 4x4 grids with some filled squares. Their task is identifying the one square missing in both presentations.

This version has been implemented using jsPsych for online data collection.

Experiment Details

  • Instructions
  • Side by Side Grid Practice
  • Sequential Grid see a first grid with some filled squares.
  • After a brief inter-stimulus interval (ISI), a second grid appears with a different arrangement of filled squares.
  • Main Task: Click the square that was not present in either grid.
  • Post-Task Questionnaire: Strategy use, perceived difficulty and confidence
  • VVIQ Vividness Questionnaire - Aphantasia Society Version.
  • Demographics Survey: Age, gender, and visualization experiences.

Setup Instructions

1. Clone the Repository

git clone https://github.com/mjpaytoncs/GridIntegration.git cd GridIntegration

2. Install Dependencies

This experiment runs in a web browser. To test locally:

  • Open index.html in any modern browser (Chrome, Firefox, Edge, etc.).
  • Ensure jsPsych (v6.3.1) and its dependencies are correctly linked.

3. Running the Experiment

Launch index.html in your preferred browser. In Vscode, open with live server.

File Structure

GridIntegration/
├── brockmole.html          # Main experiment file
├── jspsych-6.3.1/      # jsPsych library files
└── README.md           # Documentation

Contributors

  • Michael Payton
  • Hakwan Lau
  • Jorge Morales

License

This project is open-source and follows the MIT License.

Acknowledgments

  • Brockmole, J. R., Wang, R. F., & Irwin, D. E. (2002). Temporal integration between visual images and visual percepts. Journal of Experimental Psychology: Human Perception and Performance, 28(2), 315.
  • Special thanks to Hakwan Lau and Jorge Morales for their support.

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Replication of Brockmole (2002) applied to aphantasia.

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  • JavaScript 94.5%
  • HTML 4.7%
  • CSS 0.8%