Amin Ahsan Ali, PhD
- Director, AI/ML Wing
Professor
Department of Computer Science and Engineering
Independent University, Bangladesh
Research Interests
Artificial Intelligence, Machine Learning
Conference Paper2019Cited by 4
Eye-gaze to screen location mapping for UI evaluation of webpages
Md Sazzad Hossain, Amin Ahsan Ali, M Ashraful Amin
Proceedings of the 3rd International Conference on Graphics and Signal Processing
ACM, pp. 100–104
Abstract
This paper presents a way to track eye-gaze by using webcam and mapping the eye-gaze data compensating head pose and orientation on the display screen. First, we have shown a blank screen with red dots to 10 individuals and recorded their eye-gaze pattern and head orientation associated with that screen location by automated annotation. Then, we trained a neural network to learn the relationship between eye-gaze and head pose with screen location. The proposed method can map eye-gazes to screen with 68.3% accuracy. Next, by using the trained model to estimate eye gaze on screen, we have evaluated content of a website. This gives us an automated way to evaluate the UI of a website. The evaluation metric might be used with several other metrics to define a standard for web design and layout. This also gives insight to the likes and dislikes, important areas of a website. Also, eye tracking by only a webcam simplifies the matter to use this technology in various fields which might open the future prospect of enormous applications.
Keywords
GazeComputer scienceEye trackingOrientation (vector space)Computer visionArtificial intelligenceMetric (unit)
CCDS Authors
Prof. M Ashraful Amin, PhD
- Founder Director, CCDS
- Director, AI/ML, HCI & DS Wings
Professor
+1 more affiliationDepartment of Information Sciences and Technology
George Mason University, USA
Research Interests
Machine Learning, Cognitive & Vision Science, Cybernetics, Surveillance & Security, ICT in Education, Health, & Agriculture, Human-Computer Interaction, Internet of Things, Robotics
References
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Cited By
- 1.Jakub Štěpán Novák, Jan Masner, Petr Benda, Pavel Šimek, Vojtěch Merunka. (2023). Eye Tracking, Usability, and User Experience: A Systematic Review. International Journal of Human-Computer Interaction, 40(17), 4484–4500[10.1080/10447318.2023.2221600]
- 2.Michael Chromik, Florian Lachner, Andreas Butz. (2020). ML for UX? - An Inventory and Predictions on the Use of Machine Learning Techniques for UX Research. , 1–11[10.1145/3419249.3420163]
- 3.Maja Kędras, Janusz Sobecki. (2023). What Is Hidden in Clear Sight and How to Find It—A Survey of the Integration of Artificial Intelligence and Eye Tracking. Information, 14(11), 624[10.3390/info14110624]
- 4.Alberto J. Molina-Cantero, Clara Lebrato-Vázquez, Juan A. Castro-García, Manuel Merino-Monge, Félix Biscarri-Triviño, José I. Escudero-Fombuena. (2024). A review on visible-light eye-tracking methods based on a low-cost camera. Journal of Ambient Intelligence and Humanized Computing, 15(4), 2381–2397[10.1007/s12652-024-04760-8]