A data analysis tool aimed to evaluate construction defect management inspection based user eye-tracking data.
This software is based off the work presented in the paper titled 'Towards a Quantitative Approach for Monitoring and Evaluating Construction Defect Management Inspection Performance using Eye-tracking Technologies'
May, K. W., Jing, A., Walsh, J., Smith, R. T., Gu, N., & Thomas, B. H. (2022, October). Towards a Quantitative Approach for Monitoring and Evaluating Construction Defect Management Inspection Performance using Eye-tracking Technologies. In 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) (pp. 776-781). IEEE.
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Clone/Dl the GitHub repository.
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An example scene is shown in the 'PCView' scene.
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Run the application and load the eye-tracking data into the system (Example data is shown in the Logs/Eyetracking directory).