Gazepoint Citations

We are frequently asked if we can provide examples of research papers in which the Gazepoint eye-tracking technologies are used. We are very happy to provide a shortlist of publications that we have found to date. If you are interested in using our best eye-tracking software for marketers in your research and don’t have the software yet, shop now or contact us to get started!

If you have published your research from your neuromarketing study that uses the Gazepoint system, please let us know and we will add a link to your work here! Our suggested reference to cite Gazepoint in your research is: Gazepoint (2021). GP3 Eye-Tracker. Retrieved from

Salminen, J., Jung, S., Nielsen, L., Şengün, S., & Jansen, B. J. (2022). How does varying the number of personas affect user perceptions and behavior? Challenging the ‘small personas’ hypothesis! International Journal of Human-Computer Studies, 168, 102915.
Menzel, T., Teubner, T., Adam, M. T. P., & Toreini, P. (2022). Home is where your Gaze is – Evaluating effects of embedding regional cues in user interfaces. Computers in Human Behavior, 136, 107369.
Steffens, J., & Himmelein, H. (2022). Induced cognitive load influences unpleasantness judgments of modulated noise.
Souza, A., & Freitas, D. (2022). Towards the Improvement of the Cognitive Process of the Synthesized Speech of Mathematical Expression in MathML: An Eye-Tracking. 2022 International Conference on Interactive Media, Smart Systems and Emerging Technologies (IMET), 1–8.
Zyrianov, V., Peterson, C. S., Guarnera, D. T., Behler, J., Weston, P., Sharif, B., & Maletic, J. I. (2022). Deja Vu: semantics-aware recording and replay of high-speed eye tracking and interaction data to support cognitive studies of software engineering tasks—methodology and analyses. Empirical Software Engineering, 27(7), 168.
Lewandowska, A., Dziśko, M., & Jankowski, J. (2022). Investigation the role of contrast on habituation and sensitisation effects in peripheral areas of graphical user interfaces. Scientific Reports, 12(1), 15281.
Gawade, V., Bifulco, C., & (Grace) Guo, W. (2022). Lessons Learned to Effectively Teach and Evaluate Undergraduate Engineers in Work Design and Ergonomics Laboratory from a World Before, During, and After COVID-19. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 66(1), 756–760.
Gallant, S. N., Kennedy, B. L., Bachman, S. L., Huang, R., Cho, C., Lee, T.-H., & Mather, M. (2022). Behavioral and fMRI evidence that arousal enhances bottom-up selectivity in young but not older adults. Neurobiology of Aging.
Veerabhadrappa, R., Hettiarachchi, I. T., Hanoun, S., Jia, D., Hosking, S. G., & Bhatti, A. (2022). Evaluating Operator Training Performance Using Recurrence Quantification Analysis of Autocorrelation Transformed Eye Gaze Data. Human Factors, 00187208221116953.
Spitzer, L., & Mueller, S. (2022). Using a test battery to compare three remote, video-based eye-trackers. 2022 Symposium on Eye Tracking Research and Applications, 1–7.
Destyanto, T. Y. R., & Lin, R. F. (2022). Evaluating the Effectiveness of Complexity Features of Eye Movement on Computer Activities Detection. Healthcare, 10(6), 1016.
Cybulski, P. (2022). An Empirical Study on the Effects of Temporal Trends in Spatial Patterns on Animated Choropleth Maps. ISPRS International Journal of Geo-Information, 11(5), 273.
Stojmenović, M., Spero, E., Stojmenović, M., & Biddle, R. (2022). What is Beautiful is Secure. ACM Transactions on Privacy and Security.
Maniglia, M., Contemori, G., Marini, E., & Battaglini, L. (2022). Contrast adaptation of flankers reduces collinear facilitation and inhibition. Vision Research, 193, 107979.
Kävrestad, J., Hagberg, A., Nohlberg, M., Rambusch, J., Roos, R., & Furnell, S. (2022). Evaluation of Contextual and Game-Based Training for Phishing Detection. Future Internet, 14(4), 104.
Veerabhadrappa, R., Hettiarachchi, I. T., & Bhatti, A. (2022). Using Eye-tracking To Investigate The Effect of Gaze Co-occurrence and Distribution on Collaborative Performance. 2022 IEEE International Systems Conference (SysCon), 1–8.
Veerabhadrappa, R., Hettiarachchi, I. T., & Bhatti, A. (2022). Gaze Convergence Based Collaborative Performance Prediction in a 3-Member Joint Activity Setting. 2022 IEEE International Systems Conference (SysCon), 1–7.
Pietras, K., & Ganczarek, J. (2022). Aesthetic Reactions to Violations in Contemporary Art: The Role of Expertise and Individual Differences. Creativity Research Journal, 0(0), 1–15.
Hidalgo, C., Mohamed, I., Zielinski, C., & Schön, D. (2022). The effect of speech degradation on the ability to track and predict turn structure in conversation. Cortex.
Singh, G., Maurya, A., & Goel, R. (2022). Integrating New Technologies in International Business: Opportunities and Challenges. CRC Press.
D’Anselmo, A., Pisani, A., & Brancucci, A. (2022). A tentative I/O curve with consciousness: Effects of multiple simultaneous ambiguous figures presentation on perceptual reversals and time estimation. Consciousness and Cognition, 99, 103300.
Srinivasan, R., Turpin, A., & McKendrick, A. M. (2022). Developing a Screening Tool for Areas of Abnormal Central Vision Using Visual Stimuli With Natural Scene Statistics. Translational Vision Science & Technology, 11(2), 34.
Dang, A., & Nichols, B. S. (2022). Consumer response to positive nutrients on the facts up front (FUF) label: A comparison between healthy and unhealthy foods and the role of nutrition motivation. Journal of Marketing Theory and Practice, 0(0), 1–20.
Zhu, H., Salcudean, S., & Rohling, R. (2022). Gaze-Guided Class Activation Mapping: Leveraging Human Attention for Network Attention in Chest X-rays Classification. ArXiv:2202.07107 [Cs, Eess].
Ivančić Valenko, S., Keček, D., Čačić, M., & Slanec, K. (2022). The Impact of a Web Banner Position on the Webpage User Experience. Tehnički Glasnik, 16(1), 93–97.
Koutsogiorgi, C. C., & Michaelides, M. P. (2022). Response tendencies due to item wording using eye-tracking methodology accounting for individual differences and item characteristics. Behavior Research Methods.
Katona, J. (2022). Measuring Cognition Load Using Eye-Tracking Parameters Based on Algorithm Description Tools. Sensors, 22(3), 912.
Porta, M., Dondi, P., Zangrandi, N., & Lombardi, L. (2022). Gaze-Based Biometrics From Free Observation of Moving Elements. IEEE Transactions on Biometrics, Behavior, and Identity Science, 4(1), 85–96.
Salaken, S. M., Hettiarachchi, I., Munia, A. A., Hasan, M. M., Khosravi, A., Mohamed, S., & Rahman, A. (2022). Predicting Cognitive Load of an Individual With Knowledge Gained From Others: Improvements in Performance Using Crowdsourcing. IEEE Systems, Man, and Cybernetics Magazine, 8(1), 4–15.
Kim, M., Jeong, H., Kantharaju, P., Yoo, D., Jacobson, M., Shin, D., Han, C., & Patton, J. L. (2022). Visual guidance can help with the use of a robotic exoskeleton during human walking. Scientific Reports, 12(1), 3881.
Yu-Wen, H., Yu-Ju, Y., & Wei, J. (2022). User Perception and Eye Movement on A Pandemic Data Visualization Dashboard. Proceedings of the Association for Information Science and Technology, 59(1), 121–131.
Gao, H., Fan, W., Qiu, L., Yang, X., Li, Z., Zuo, X., Li, Y., Meng, M. Q.-H., & Ren, H. (2022). SAVAnet: Surgical Action-Driven Visual Attention Network for Autonomous Endoscope Control. IEEE Transactions on Automation Science and Engineering, 1–13.
Beşer, A., Sengewald, J., & Lackes, R. (2022). Drawing Attention on (Visually) Competitive Online Shopping Platforms – An Eye-Tracking Study Analysing the Effects of Visual Cues on the Amazon Marketplace. In Ē. Nazaruka, K. Sandkuhl, & U. Seigerroth (Eds.), Perspectives in Business Informatics Research (pp. 159–174). Springer International Publishing.
Xu, J., Guo, K., & Sun, P. Z. H. (2022). Driving Performance Under Violations of Traffic Rules: Novice Vs. Experienced Drivers. IEEE Transactions on Intelligent Vehicles, 1–10.
Li, H. X., Mancuso, V., & McGuire, S. (2022). Integrated Sensors Platform. In D. Harris & W.-C. Li (Eds.), Engineering Psychology and Cognitive Ergonomics (pp. 64–73). Springer International Publishing.
Mariam, K., Afzal, O. M., Hussain, W., Javed, M. U., Kiyani, A., Rajpoot, N., Khurram, S. A., & Khan, H. A. (2022). On Smart Gaze based Annotation of Histopathology Images for Training of Deep Convolutional Neural Networks. IEEE Journal of Biomedical and Health Informatics, 1–1.
Nakamura, G., Tatsukawa, S., Omori, K., Fukui, K., Sagara, J., & Chin, T. (2021). Evaluation and Training System of PC Operation for Elderly, Using Gazing Point and Mouse Operation. 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET), 1–5.
Patel, A. N., Chau, G., Chang, C., Sun, A., Huang, J., Jung, T.-P., & Gilja, V. (2021). Affective response to volitional input perturbations in obstacle avoidance and target tracking games. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine Biology Society (EMBC), 6679–6682.
Oxford Business College, 65 George Street, Oxford, UK & Institute for Neuromarketing, Jurja Ves III spur no 4, Zagreb, Croatia, & Sola, Dr. H. M. (2021). How Neuroscience-Based Research Methodologies Can Deliver New Insights to Marketers. International Journal of Social Science and Human Research, 04(10).
Zhou, Y. (2021). Eyes Move, Drones Move Explore the Feasibility of Various Eye Movement Control Intelligent Drones. 2021 IEEE International Conference on Data Science and Computer Application (ICDSCA), 508–513.
Cuve, H. C., Stojanov, J., Roberts-Gaal, X., Catmur, C., & Bird, G. (2021). Validation of Gazepoint low-cost eye-tracking and psychophysiology bundle. Behavior Research Methods.
Ranalli, J. (2021). L2 student engagement with automated feedback on writing: Potential for learning and issues of trust. Journal of Second Language Writing, 52, 100816.
Moriishi, C., Shunta, M., Ogishima, H., & Shimada, H. (2021). Effects of cortisol on retrieval of extinction memory in individuals with social anxiety. Comprehensive Psychoneuroendocrinology, 100060.
Hu, X., Nakatsuru, S., Ban, Y., Fukui, R., & Warisawa, S. (2021). A Physiology-Based Approach for Estimation of Mental Fatigue Levels With Both High Time Resolution and High Level of Granularity. Informatics in Medicine Unlocked, 100594.
Avoyan, A., Ribeiro, M., Schotter, A., Schotter, E. R., Vaziri, M., & Zou, M. (2021). PLANNED VS. ACTUAL ATTENTION (SSRN Scholarly Paper ID 3836157). Social Science Research Network.
Karargyris, A., Kashyap, S., Lourentzou, I., Wu, J. T., Sharma, A., Tong, M., Abedin, S., Beymer, D., Mukherjee, V., Krupinski, E. A., & Moradi, M. (2021). Creation and validation of a chest X-ray dataset with eye-tracking and report dictation for AI development. Scientific Data, 8(1), 92.
Ghiţă, A., Hernández Serrano, O., Fernández-Ruiz, J., Moreno, M., Monras, M., Ortega, L., Mondon, S., Teixidor, L., Gual, A., Gacto-Sanchez, M., Porras Garcia, B., Ferrer-García, M., & Gutiérrez-Maldonado, J. (2021). Attentional Bias, Alcohol Craving, and Anxiety Implications of the Virtual Reality Cue-Exposure Therapy in Severe Alcohol Use Disorder: A Case Report. Frontiers in Psychology, 12, 543586.
Sulikowski, P., Zdziebko, T., Coussement, K., Dyczkowski, K., Kluza, K., & Sachpazidu-Wójcicka, K. (2021). Gaze and Event Tracking for Evaluation of Recommendation-Driven Purchase. Sensors, 21, 1381.
Seha, S. N. A., Hatzinakos, D., Zandi, A. S., & Comeau, F. J. E. (2021). Improving eye movement biometrics in low frame rate eye-tracking devices using periocular and eye blinking features. Image and Vision Computing, 104124.