Afergan, Daniel

Rico: A Mobile App Dataset for Building Data-Driven Design Applications

Deka, B., Huang, Z., Franzen, C., Hibschman, J., Afergan, D., Li, Y., Nichols, J., & Kumar, R. (2017) · Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology

Usability and User Interface DesignMobile and Web Applications

Cited by 482

Dynamic difficulty using brain metrics of workload

Afergan, D., Peck, E. M., Solovey, E. T., Jenkins, A., Hincks, S. W., Brown, E. T., Chang, R., & Jacob, R. J. K. (2014) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Human-Automation Interaction and SafetyEEG and Brain-Computer Interfaces

Cited by 148

Learn Piano with BACh: An Adaptive Learning Interface that Adjusts Task Difficulty Based on Brain State

Yuksel, B. F., Oleson, K. B., Harrison, L., Peck, E. M., Afergan, D., Chang, R., & Jacob, R. J. (2016) · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

Intelligent Tutoring Systems and Adaptive LearningEEG and Brain-Computer Interfaces

Cited by 137

Brain-based target expansion

Afergan, D., Shibata, T., Hincks, S. W., Peck, E. M., Yuksel, B. F., Chang, R., & Jacob, R. J. K. (2014) · Proceedings of the 27th annual ACM symposium on User interface software and technology

Gaze Tracking and Assistive TechnologyInteractive and Immersive Displays

Cited by 19

Braahms: A Novel Adaptive Musical Interface Based On Users' Cognitive State

Yuksel, B. F., Afergan, D., Peck, E., Griffin, G., Harrison, L., Chen, N., Chang, R., & Jacob, R. (2015) · Zenodo

EEG and Brain-Computer InterfacesMusic Technology and Sound Studies

Cited by 13

Braahms: A Novel Adaptive Musical Interface Based On Users' Cognitive State

Yuksel, B. F., Afergan, D., Peck, E., Griffin, G., Harrison, L., Chen, N., Chang, R., & Jacob, R. (2015) · Zenodo

EEG and Brain-Computer InterfacesMusic Technology and Sound Studies

Cited by 13