Abigale Stangl is an Assistant Professor of Industrial Design and researcher at the SimTigrate Design Lab, where she leads design research on accessible communication and product development that enhance healthcare outcomes and well-being. Abigale's work emphasizes evidence-based multimodal design strategies that promote patient access, dignity and independence. She contributes to the Georgia Tech NSF NFT SUSMED initiative, dedicated to sustainable smart medical device development, with a particular focus on enhancing communication in ophthalmological practices.

Publications

• Zhang, L., Stangl, A., Sharma, T., Tseng, Y. Y., Xu, I., Gurari, D., ... & Findlater, L. (2024, May). Designing Accessible Obfuscation Support for Blind Individuals’ Visual Privacy Management. In Proceedings of the CHI Conference on Human Factors in Computing Systems (pp. 1-19). https://doi.org/10.1145/3613904.3642713
• Stangl, A., Morris, M. R., & Gurari, D. (2020, April). " Person, Shoes, Tree. Is the Person Naked?" What People with Vision Impairments Want in Image Descriptions. In Proceedings of the 2020 chi conference on human factors in computing systems (pp. 1-13). https://doi.org/10.1145/3313831.3376404
• Gurari, D., Li, Q., Lin, C., Zhao, Y., Guo, A., Stangl, A., & Bigham, J. P. (2019). Vizwiz-priv: A dataset for recognizing the presence and purpose of private visual information in images taken by blind people. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 939-948). https://doi.org/10.1109/CVPR.2019.00103.
• Stangl, A., Cunningham, A., Blake, L. A., & Yeh, T. (2019, October). Defining problems of practices to advance inclusive tactile media consumption and production. In Proceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility (pp. 329-341). http://dx.doi.org/10.1145/3308561.3353778
• Gurari, D., Li, Q., Stangl, A. J., Guo, A., Lin, C., Grauman, K., ... & Bigham, J. P. (2018). Vizwiz grand challenge: Answering visual questions from blind people. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 3608-3617). https://doi.org/10.1109/CVPR.2018.00380