Hirshfield, Leanne

Using fNIRS brain sensing in realistic HCI settings: experiments and guidelines

Solovey, E. T., Girouard, A., Chauncey, K., Hirshfield, L. M., Sassaroli, A., Zheng, F., Fantini, S., & Jacob, R. J. K. (2009) · Proceedings of the 22nd annual ACM symposium on User interface software and technology

Optical Imaging and Spectroscopy TechniquesEEG and Brain-Computer Interfaces

Cited by 115

Human-agent teaming and trust calibration: a theoretical framework, configurable testbed, empirical illustration, and implications for the development of adaptive systems

Bobko, P., Hirshfield, L., Eloy, L., Spencer, C., Doherty, E., Driscoll, J., & Obolsky, H. (2023) · Theoretical Issues in Ergonomics Science

Human-Automation Interaction and SafetySocial Robot Interaction and HRI

Cited by 33

Piecing Together Teamwork: A Responsible Approach to an LLM-based Educational Jigsaw Agent

Doherty, E., Perkoff, E. M., von Bayern, S., Zhang, R., Dey, I., Bodzianowski, M., Puntambekar, S., & Hirshfield, L. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems

Innovative Teaching and Learning MethodsIntelligent Tutoring Systems and Adaptive Learning

Cited by 12

ERP-XTTN: interpretable cross-subject error-related potential classification via cross-attention to data-driven ERP prototypes

Wyman, C. G., & Hirshfield, L. (2026) · Verlag der Technischen Universität Graz

EEG and Brain-Computer InterfacesEmotion and Mood Recognition

Cited by 0

ERP-XTTN: interpretable prototype-guided cross-attention for cross-subject ERP classification

Genevier Wyman, C., & Hirshfield, L. (2026) · Journal of Neural Engineering

EEG and Brain-Computer InterfacesEmotion and Mood Recognition

Cited by 0