dr. Travis Wiltshire

Halgas, E. A., van Eijndhoven, K. H. J., Gevers, J. M. P., Wiltshire, T. J., M. Westerink, J. H. D., & Rispens, S. (2023). A Review of Using Wearable Technology to Assess Team Functioning and Performance. Small Group Research, 54(1), 41-76.

Guglielmo, G., Wiltshire, T., & Louwerse, M. (Accepted/In press). Training Machine Learning Models to Detect Group Differences in Neurophysiological Data Using Recurrence Quantification Analysis Based Features. In 14th International Conference on Agents and Artificial Intelligence (ICAART)

Halgas, E. A., Gevers, J. M. P., van Eijndhoven, K., Wiltshire, T., Rispens, S., & Westerink, J. (2022). Comparative Evaluation of Multivariate Coordination Methods to Assess Team Cognition in Multi-Modal Team Interactions. Poster session presented at CogSci 2022. https://escholarship.org/uc/item/3303h2fs

Kraeter, V. A., Kritskaia, V., Wiltshire, T., & Collin, S. H. P. (2022). Effect of stimuli congruency on gaze behavior and memory. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 44, pp. 2271-2277) https://escholarship.org/uc/item/2j87q9kf

van der Lee, C., Ferreira, T., Emmery, C., Wiltshire, T., & Krahmer, E. (2022). Neural Data-to-Text Generation Based on Small Datasets: Comparing the Added Value of Two Semi-Supervised Learning Approaches on Top of a Large Language Model. Manuscript submitted for publication.