乐播传媒

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).

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

Eloy, P. Bobko, and L. Hirshfield, (2024). 鈥淟inking trust constructs with computer science-based decision-making systems,鈥� in A Research Agenda for Trust, Edward Elgar Publishing, 2024, pp. 25鈥�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听Proceedings of the CHI Conference on Human Factors in Computing Systems听(pp. 1-17).

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

2023

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

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

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

T. Hopkins et al., 鈥淪tringesthesia: Dynamically Shifting Musical Agency Between Audience and Performer Based on Trust in an Interactive and Improvised Performance,鈥� in Proceedings of the 18th International Audio Mostly Conference, in AM 鈥�23. New York, NY, USA: Association for Computing Machinery, Oct. 2023, pp. 9鈥�16.

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

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

P. Bobko, L. Hirshfield, L. Eloy, and C. Spencer, 鈥淗uman-agent teaming and trust calibration: a theoretical framework, configurable testbed, empirical illustration, and implications for the development of adaptive 鈥�,鈥� Theor. Issues Ergon., 2023, [Online]. Available:

2022

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

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

L. Eloy, E. J. Doherty, C. A. Spencer, P. Bobko, and L. Hirshfield, 鈥淯sing fNIRS to Identify Transparency- and Reliability-Sensitive Markers of Trust Across Multiple Timescales in Collaborative Human-Human-Agent Triads,鈥� 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, 鈥淯sing fNIRS to examine neural mechanisms of change associated with mindfulness-based interventions for stress and trauma: results of a pilot study for women,鈥� Mindfulness , 2021, [Online]. Available:

N. Tran, T. Grant, T. Phung, and L. Hirshfield, 鈥淩obot-generated mixed reality gestures improve human-robot interaction,鈥� Social Robotics: 13th, 2021, [Online]. Available:

N. Tran, T. Grant, T. Phung, and L. Hirshfield, 鈥淕et this!? mixed reality improves robot communication regardless of mental workload,鈥� Prim. Care Companion J. Clin. Psychiatry, 2021, [Online]. Available: