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2024

Khebour, I., Brutti, R., Dey, I., Dickler, R., Sikes, K., Lai, K., Bradford, M., Cates, B., Hansen, P., Jung, C., Wisniewski, B., Terpstra, C., Hirshfield, L., Puntambekar, S., Blanchard, N., Pustejovsky, J., & Krishnaswamy, N. (2024). When text and speech are not enough: A multimodal dataset of collaboration in a situated task. Journal of Open Humanities Data, 10(1). https://doi.org/10.5334/johd.168

Perkoff, E. M., Doherty, E., Bush, J., & Hirshfield, L. (2024). Crafting a Responsible Dialog System for Collaborative Learning Environments. In��AI for Education: Bridging Innovation and Responsibility at the 38th AAAI Annual Conference on AI.

Eloy, P. Bobko, and L. Hirshfield, (2024). “Linking trust constructs with computer science-based decision-making systems,” in A Research Agenda for Trust, Edward Elgar Publishing, 2024, pp. 25–36.

Reddy, G. R., Proulx, M. J., Hirshfield, L., & Ries, A. (2024, May). Towards an Eye-Brain-Computer Interface: Combining Gaze with the Stimulus-Preceding Negativity for Target Selections in XR. In��Proceedings of the CHI Conference on Human Factors in Computing Systems��(pp. 1-17).

D'Mello,��S. K.,��Q. Biddy,��T. Breideband,��J. Bush,��M. Chang,��A. Cortez,��J. Flanigan,��P. W. Foltz,��J. C. Gorman,��L. Hirshfield,��M.-L. Monica Ko,��N. Krishnaswamy,��R. Lieber,��J. Martin,��M. Palmer,��W. R. Penuel,��T. Philip,��S. Puntambekar,��J. Pustejovsky,��J. G. Reitman,��T. Sumner,��M. Tissenbaum,��L. Walker, and��J. Whitehill.��2024. “��From Learning Optimization to Learner Flourishing: Reimagining AI in Education at the Institute for Student-AI Teaming (iSAT).”��AI Magazine��45:��61–68.��

2023

L. M. Hirshfield, C. Wickens, E. Doherty, C. Spencer, T. Williams, and L. Hayne, “Toward workload-based adaptive automation: The utility of fNIRS for measuring load in multiple resources in the brain,” Int. J. Hum. Comput. Interact., pp. 1–27, Oct. 2023.

E. Doherty, C. A. Spencer, L. Eloy, N. Kumar, R. Dickler, and L. Hirshfield, “Using Speech Patterns to Model the Dimensions of Teamness in Human-Agent Teams,” in Proceedings of the 25th International Conference on Multimodal Interaction, in ICMI ’23. New York, NY, USA: Association for Computing Machinery, Oct. 2023, pp. 640–648.

G. S. R. Reddy et al., “Synerg-eye-zing: Decoding Nonlinear Gaze Dynamics Underlying Successful Collaborations in Co-located Teams,” in Proceedings of the 25th International Conference on Multimodal Interaction, in ICMI ’23. New York, NY, USA: Association for Computing Machinery, Oct. 2023, pp. 545–554.

T. Hopkins et al., “Stringesthesia: Dynamically Shifting Musical Agency Between Audience and Performer Based on Trust in an Interactive and Improvised Performance,” in Proceedings of the 18th International Audio Mostly Conference, in AM ’23. New York, NY, USA: Association for Computing Machinery, Oct. 2023, pp. 9–16.

E. J. Doherty et al., “Interdisciplinary views of fNIRS: Current advancements, equity challenges, and an agenda for future needs of a diverse fNIRS research community,” Front. Integr. Neurosci., vol. 17, 2023, doi: 10.3389/fnint.2023.1059679.

L. Eloy, C. Spencer, E. Doherty, and L. Hirshfield, “Capturing the dynamics of trust and team processes in human-human-agent teams via multidimensional neural recurrence analyses,” Proc. ACM Hum. Comput. Interact., vol. 7, no. CSCW1, pp. 1–23, Apr. 2023.

P. Bobko, L. Hirshfield, L. Eloy, and C. Spencer, “Human-agent teaming and trust calibration: a theoretical framework, configurable testbed, empirical illustration, and implications for the development of adaptive …,” Theor. Issues Ergon., 2023, [Online]. Available: https://www.tandfonline.com/doi/abs/10.1080/1463922X.2022.2086644

2022

J. Wang, T. Grant, S. Velipasalar, B. Geng, and L. Hirshfield, “Taking a Deeper Look at the Brain: Predicting Visual Perceptual and Working Memory Load From High-Density fNIRS Data,” IEEE J Biomed Health Inform, vol. 26, no. 5, pp. 2308–2319, May 2022.

I. Dey, R. Dickler, L. Hirshfield, W. Goss, M. Tissenbaum, and S. Puntambekar, “Using Participatory Design Studies to Collaboratively Create Teacher Dashboards,” in Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium, Springer International Publishing, 2022, pp. 506–509.

L. Eloy, E. J. Doherty, C. A. Spencer, P. Bobko, and L. Hirshfield, “Using fNIRS to Identify Transparency- and Reliability-Sensitive Markers of Trust Across Multiple Timescales in Collaborative Human-Human-Agent Triads,” Frontiers in Neuroergonomics, vol. 3, 2022, doi: 10.3389/fnrgo.2022.838625.
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2021

D. Bergen-Cico, T. Grant, L. Hirshfield, and R. Razza, “Using fNIRS to examine neural mechanisms of change associated with mindfulness-based interventions for stress and trauma: results of a pilot study for women,” Mindfulness , 2021, [Online]. Available: https://link.springer.com/article/10.1007/s12671-021-01705-6

N. Tran, T. Grant, T. Phung, and L. Hirshfield, “Robot-generated mixed reality gestures improve human-robot interaction,” Social Robotics: 13th, 2021, [Online]. Available: https://link.springer.com/chapter/10.1007/978-3-030-90525-5_69

N. Tran, T. Grant, T. Phung, and L. Hirshfield, “Get this!? mixed reality improves robot communication regardless of mental workload,” Prim. Care Companion J. Clin. Psychiatry, 2021, [Online]. Available: https://dl.acm.org/doi/abs/10.1145/3434074.3447203