Publications
Butner, J. E., Deits-Lebehn, C., Crenshaw, A. O., Wiltshire, T. J., Perry, N. S., Kent de Grey, R. G., Hogan, J. N., Smith, T. W., Baucom, K. J. W., & Baucom, B. R. W. (2017). A multivariate dynamic systems model for psychotherapy with more than one client. Journal of Counseling Psychology, 64(6), 616–625. https://doi.org/10.1037/cou0000238
Butner, J. E., Wiltshire, T. J., & Munion, A. K. (2017). Modeling Multi-Agent Self-Organization through the Lens of Higher Order Attractor Dynamics. Frontiers in Psychology, 8. https://doi.org/10.3389/fpsyg.2017.00380
Croucher, C., Powell, W., Stevens, B., Miller-Dicks, M., Powell, V., Wiltshire, T. J., & Spronck, P. (2024). LoCoMoTe – A Framework for Classification of Natural Locomotion in VR by Task, Technique and Modality. IEEE Transactions on Visualization and Computer Graphics, 30(8), 5765–5781. https://doi.org/10.1109/TVCG.2023.3313439
Crowell, S. E., Butner, J. E., Wiltshire, T. J., Munion, A. K., Yaptangco, M., & Beauchaine, T. P. (2017). Evaluating Emotional and Biological Sensitivity to Maternal Behavior Among Self-Injuring and Depressed Adolescent Girls Using Nonlinear Dynamics. Clinical Psychological Science, 5(2), 272–285. https://doi.org/10.1177/2167702617692861
Doan, N. N. T., Hudson, D., Wiltshire, T. J., Lijdsman, P., Wever, S., & Atzmueller, M. (2021). Human Interaction and Networking Transitions System (HINTS) for Social User Analytics and Modeling of Offline Team Group Interaction Information. Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization (UMAP ’21 Adjunct), 4. https://doi.org/https://doi.org/10.1145/3450614.3461689
Eijndhoven, K. H. J. van, Wiltshire, T. J., Gevers, J. M., Hałgas, E. A., & Fransen, A. (2024). Multi-level Team Coordination Dynamics during Simulation-Based Medical Team Training. Proceedings of the Annual Meeting of the Cognitive Science Society, 46. https://escholarship.org/uc/item/12r7d03f
Eijndhoven, K. H. J. van, Wiltshire, T. J., Hałgas, E. A., & Gevers, J. M. P. (2023a). A Computational Approach to Examining Team Coordination Breakdowns During Crisis Situations. Journal of Cognitive Engineering and Decision Making, 17(3), 256–278. https://doi.org/10.1177/15553434231156417
Eijndhoven, K. H. J. van, Wiltshire, T. J., Hałgas, E. A., & Gevers, J. M. P. (2023b). A Methodological Framework to Study Change in Team Cognition Under the Dynamical Hypothesis. Topics in Cognitive Science, n/a(n/a), 1–19. https://doi.org/10.1111/tops.12685
Eijndhoven, K. H. J. van, Wiltshire, T. J., Hałgas, E. A., Gevers, J. M. P., & Louwerse, M. (2025). Team Coordination Breakdowns: Examining Physiological Features Underlying Transitions in Coordination Dynamics. Journal of Cognitive Engineering and Decision Making, 19(3), 283–307. https://doi.org/10.1177/15553434251328803
Eijndhoven, K. H. J. van, Wiltshire, T. J., & Vogt, P. (2020). Predicting Social Dynamics in Child-Robot Interactions with Facial Action Units. Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, 502–504. https://doi.org/10.1145/3371382.3378366
Emmery, C., Kádár, Á., Wiltshire, T. J., & Hendrickson, A. T. (2019). Towards Replication in Computational Cognitive Modeling: A Machine Learning Perspective. Computational Brain & Behavior, 2(3-4), 242–246. https://doi.org/10.1007/s42113-019-00055-w
Emmery, C., & Wiltshire, T. J. (2023). Machine Morality. In Encyclopedia of Heroism Studies (pp. 1–7). Springer, Cham. https://doi.org/10.1007/978-3-031-17125-3_317-1
Euler, M. J., Wiltshire, T. J., Niermeyer, M. A., & Butner, J. E. (2016). Working memory performance inversely predicts spontaneous delta and theta-band scaling relations. Brain Research, 1637, 22–33. https://doi.org/10.1016/j.brainres.2016.02.008
Fiore, S. M., Gabelica, C., Wiltshire, T. J., & Stokols, D. (2019). Training to Be a (Team) Scientist. In K. L. Hall, A. L. Vogel, & R. T. Croyle (Eds.), Strategies for Team Science Success: Handbook of Evidence-Based Principles for Cross-Disciplinary Science and Practical Lessons Learned from Health Researchers (pp. 421–444). Springer International Publishing. https://doi.org/10.1007/978-3-030-20992-6_33
Fiore, S. M., Käosaar, A., & Wiltshire, T. J. (2024). An Operational Assessment of Team Cognition for Long-Distance Space Missions. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 68(1), 1316–1322. https://doi.org/10.1177/10711813241284572
Fiore, S. M., & Wiltshire, T. J. (2016). Technology as Teammate: Examining the Role of External Cognition in Support of Team Cognitive Processes. Frontiers in Psychology, 7(1531), 1–17. https://doi.org/10.3389/fpsyg.2016.01531
Fiore, S. M., Wiltshire, T. J., Lobato, E. J. C., Jentsch, F. G., Huang, W. H., & Axelrod, B. (2013). Toward understanding social cues and signals in human–robot interaction: Effects of robot gaze and proxemic behavior. Frontiers in Psychology, 4(859), 1–15. https://doi.org/10.3389/fpsyg.2013.00859
Fiore, S. M., Wiltshire, T. J., Oglesby, J. M., O’Keefe, W. S., & Salas, E. (2014). Complex Collaborative Problem-Solving Processes in Mission Control. Aviation, Space, and Environmental Medicine, 85(4), 456–461. https://doi.org/10.3357/ASEM.3819.2014
Goodwin, M. S., Wiltshire, T., & Fiore, S. M. (2015). Applying Research in the Cognitive Sciences to the Design and Delivery of Instruction in Virtual Reality Learning Environments. In R. Shumaker & S. Lackey (Eds.), Virtual, Augmented and Mixed Reality (pp. 280–291). Springer International Publishing. https://doi.org/10.1007/978-3-319-21067-4_29
Gorman, J. C., & Wiltshire, T. J. (2024). A Typology for the Application of Team Coordination Dynamics Across Increasing Levels of Dynamic Complexity. Human Factors, 66(1), 5–16. https://doi.org/10.1177/00187208221085826
Gray, W. D., Rahman, R., Torres, E. B., Perez, R., Sims, C. R., & Wiltshire, T. J. (2020). New Measures for Fundamentals of Human Performance. Proceedings of the Annual Meeting of the Cognitive Science Society, 42(0). https://escholarship.org/uc/item/76z4w2c6
Guglielmo, G., Wiltshire, T. J., & Louwerse, M. (2022). Training Machine Learning Models to Detect Group Differences in Neurophysiological Data using Recurrence Quantification Analysis based Features. 428–435. https://www.scitepress.org/Link.aspx?doi=10.5220/0010832200003116
Habaraduwa, U., Blom, P. M., & Wiltshire, T. J. (2025). Implicit Coordination Dynamics: A Synchrony-Based Study on Team Positioning and Performance in Competitive Dota 2. IEEE Transactions on Games, 17(2), 442–450. https://doi.org/10.1109/TG.2024.3488114
Halgas, E., Eijndhoven, K. H. J. van, Gevers, J. M. P., Wiltshire, T. J., Westerink, J. H. D. M., & Rispens, S. (2022). A Review of Using Wearable Technology to Assess Team Functioning and Performance. Small Group Research, 54(1), 41–76. https://doi.org/10.1177/10464964221125717
Hudson, D., Wiltshire, T. J., & Atzmueller, M. (2021). Local Exceptionality Detection in Time Series Using Subgroup Discovery: An Approach Exemplified on Team Interaction Data. In C. Soares & L. Torgo (Eds.), Discovery Science (pp. 435–445). Springer International Publishing. https://doi.org/10.1007/978-3-030-88942-5_34
Hudson, D., Wiltshire, T. J., & Atzmueller, M. (2022). Visualization Methods for Exploratory Subgroup Discovery on Time Series Data. In J. M. Ferrández Vicente, J. R. Álvarez-Sánchez, F. de la Paz López, & H. Adeli (Eds.), Bio-inspired Systems and Applications: From Robotics to Ambient Intelligence (pp. 34–44). Springer International Publishing. https://doi.org/10.1007/978-3-031-06527-9_4
Hudson, D., Wiltshire, T. J., & Atzmueller, M. (2023). multiSyncPy: A Python package for assessing multivariate coordination dynamics. Behavior Research Methods, 55, 932–962. https://doi.org/10.3758/s13428-022-01855-y
Keebler, J. R., Patzer, B. S., Wiltshire, T. J., & Fiore, S. M. (2017). Augmented Reality Systems in Training. In The Cambridge Handbook of Workplace Training and Employee Development (pp. 278–292). Cambridge University Press.
Keebler, J. R., Wiltshire, T. J., Smith, D. C., & Fiore, S. M. (2013). Picking Up STEAM: Educational Implications for Teaching with an Augmented Reality Guitar Learning System. In D. Hutchison, T. Kanade, J. Kittler, J. M. Kleinberg, F. Mattern, J. C. Mitchell, M. Naor, O. Nierstrasz, C. Pandu Rangan, B. Steffen, M. Sudan, D. Terzopoulos, D. Tygar, M. Y. Vardi, G. Weikum, & R. Shumaker (Eds.), Virtual, Augmented and Mixed Reality. Systems and Applications (Vol. 8022, pp. 170–178). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-39420-1_19
Keebler, J. R., Wiltshire, T. J., Smith, D. C., Fiore, S. M., & Bedwell, J. S. (2014). Shifting the paradigm of music instruction: Implications of embodiment stemming from an augmented reality guitar learning system. Frontiers in Psychology, 5(471), 1–19. https://doi.org/10.3389/fpsyg.2014.00471
Kraeter, V., Kritskaia, V., Wiltshire, T. J., & Collin, S. H. P. (2022). Effect of stimuli congruency on gaze behavior and memory. Proceedings of the Annual Meeting of the Cognitive Science Society, 44(44). https://escholarship.org/uc/item/2j87q9kf
Lee, C. van der, Ferreira, T. C., Emmery, C., Wiltshire, T. J., & Krahmer, E. (2023). 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. Computational Linguistics, 49(3), 555–611. https://doi.org/10.1162/coli_a_00484
Likens, A. D., & Wiltshire, T. J. (2021). Windowed Multiscale Synchrony: Modeling Time-Varying and Scale-Localized Interpersonal Coordination Dynamics. Social Cognitive and Affective Neuroscience, 16, 232–245. https://doi.org/10.1093/scan/nsaa130
Lobato, E. J. C., Warta, S. F., Wiltshire, T. J., & Fiore, S. M. (2015). Varying Social Cue Constellations Results in Different Attributed Social Signals in a Simulated Surveillance Task. In I. Russell & W. Eberle (Eds.), Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2015, Hollywood, Florida, USA, May 18-20, 2015 (pp. 61–66). AAAI Press. http://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS15/paper/view/10431
Lobato, E. J. C., Wiltshire, T. J., & Fiore, S. M. (2013). A Dual-Process Approach to Understanding Human-Robot Interaction. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 57(1), 1263–1267. https://doi.org/10.1177/1541931213571280
Lobato, E. J. C., Wiltshire, T. J., Hudak, S., & Fiore, S. M. (2014). No Time, No Problem: Mental State Attributions Made Quickly or After Reflection Do Not Differ. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 58(1), 1341–1345. https://doi.org/10.1177/1541931214581280
Mironiuc, C., Likens, A. D., & Høgenhaug, S. S. (2021). Gesture Dynamics and Therapeutic Success in Patient-Therapist Dyads. Proceedings of the Annual Meeting of the Cognitive Science Society, 43, 1949–1955. https://escholarship.org/uc/item/0h83991b
Newton, O. B., Wiltshire, T. J., & Fiore, S. M. (2018). Macrocognition in Teams and Metacognition: Developing Instructional Strategies for Complex Collaborative Problem Solving. In Building Intelligent Tutoring Systems for Teams: What Matters (Vol. 19, p. 0). Emerald Publishing Limited. https://doi.org/10.1108/S1534-085620180000019006
Perry, N. S., Baucom, K. J. W., Bourne, S., Butner, J., Crenshaw, A. O., Hogan, J. N., Imel, Z. E., Wiltshire, T. J., & Baucom, B. R. W. (2017). Graphic methods for interpreting longitudinal dyadic patterns from repeated-measures actor–partner interdependence models. Journal of Family Psychology, 31(5), 592–603. https://doi.org/10.1037/fam0000293
Vaarten, L., & Wiltshire, T. J. (2023). Capturing coordination and intentionality in joint musical improvisation. Psychomusicology: Music, Mind, and Brain, 33(1-4), 26–39. https://doi.org/10.1037/pmu0000299
Verkennis, B., Weelden, E. van, Marogna, F. L., Alimardani, M., Wiltshire, T. J., & Louwerse, M. M. (2025). Predicting Workload in Virtual Flight Simulations Using EEG Spectral and Connectivity Features. 2025 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AIxVR), 82–89. https://doi.org/10.1109/AIxVR63409.2025.00019
Waterson, P., Baber, C., Golightly, D., Hancock, P., Morineau, T., Guastello, S. J., Wiltshire, T. J., Karwowski, W., & Drury, C. G. (2019). The Cybernetic Return in Human Factors/Ergonomics (HFE). Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 63(1), 894–898. https://doi.org/10.1177/1071181319631328
Weelden, E. van, Alimardani, M., Wiltshire, T. J., & Louwerse, M. M. (2021). Advancing the Adoption of Virtual Reality and Neurotechnology to Improve Flight Training. 2021 IEEE 2nd International Conference on Human-Machine Systems (ICHMS), 1–4. https://doi.org/10.1109/ICHMS53169.2021.9582658
Weelden, E. van, Alimardani, M., Wiltshire, T. J., & Louwerse, M. M. (2022). Aviation and neurophysiology: A systematic review. Applied Ergonomics, 105, 103838. https://doi.org/https://doi.org/10.1016/j.apergo.2022.103838
Weelden, E. van, Beek, C. W. E. van, Alimardani, M., Wiltshire, T. J., Ledegang, W. D., Groen, E. L., & Louwerse, M. M. (2024). A Passive Brain-Computer Interface for Predicting Pilot Workload in Virtual Reality Flight Training. 2024 IEEE 4th International Conference on Human-Machine Systems (ICHMS), 1–6. https://doi.org/10.1109/ICHMS59971.2024.10555679
Weelden, E. van, Wiltshire, T. J., Alimardani, M., & Louwerse, M. M. (2021). Validating EEG biomarkers in Virtual Reality and Desktop Flight Training. 1–3. https://neuroergonomicsconference.um.ifi.lmu.de/wp-content/uploads/submissions/179.pdf
Weelden, E. van, Wiltshire, T. J., Alimardani, M., & Louwerse, M. M. (2022). Comparing Presence, Workload, and Performance in Desktop and Virtual Reality Flight Simulations. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 66(1), 2006–2010. https://doi.org/10.1177/1071181322661096
Weelden, E. van, Wiltshire, T. J., Alimardani, M., & Louwerse, M. M. (2024). Exploring the impact of virtual reality flight simulations on EEG neural patterns and task performance. Cognitive Systems Research, 88, 101282. https://doi.org/10.1016/j.cogsys.2024.101282
Weelden, E. van, Wiltshire, T. J., Alimardani, M., Louwerse, M. M., Roy, R. N., & Dehais, F. (2025). Assessment of individual and dyadic workload of student and instructor pilots in real and simulated flight: An exploratory study. Applied Ergonomics, 129, 104606. https://doi.org/10.1016/j.apergo.2025.104606
Wieder, G., & Wiltshire, T. J. (2020). Investigating coregulation of emotional arousal during exposure-based CBT using vocal encoding and actor–partner interdependence models. Journal of Counseling Psychology, 67(3), 337–348. https://doi.org/10.1037/cou0000405
Wiltshire, T. J. (2015). A Prospective Framework for the Design of Ideal Artificial Moral Agents: Insights from the Science of Heroism in Humans. Minds and Machines, 25(1), 57–71. https://doi.org/10.1007/s11023-015-9361-2
Wiltshire, T. J., Barber, D., & Fiore, S. M. (2013). Towards Modeling Social-Cognitive Mechanisms in Robots to Facilitate Human-Robot Teaming. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 57(1), 1278–1282. https://doi.org/10.1177/1541931213571283
Wiltshire, T. J., Butner, J. E., & Fiore, S. M. (2018). Problem-Solving Phase Transitions During Team Collaboration. Cognitive Science, 42(1), 129–167. https://doi.org/10.1111/cogs.12482
Wiltshire, T. J., Butner, J. E., & Pirtle, Z. (2017). Modeling Change in Project Duration and Completion: Scheduling Dynamics of NASA’s Exploration Flight Test 1 (EFT-1) Activities. Nonlinear Dynamics, Psychology, and Life Sciences, 21(3), 335–358.
Wiltshire, T. J., Euler, M. J., McKinney, T. L., & Butner, J. E. (2017). Changes in Dimensionality and Fractal Scaling Suggest Soft-Assembled Dynamics in Human EEG. Frontiers in Physiology, 8. https://doi.org/10.3389/fphys.2017.00633
Wiltshire, T. J., & Fairhurst, M. T. (2023). Collaborative Creativity: Information-Driven Coordination Dynamics and Prediction in Movement and Musical Improvisation. In The Routledge International Handbook of Creative Cognition. Routledge. https://www.taylorfrancis.com/chapters/edit/10.4324/9781003009351-39/collaborative-creativity-travis-wiltshire-merle-fairhurst
Wiltshire, T. J., Hudson, D., Belitsky, M., Lijdsman, P., Wever, S., & Atzmueller, M. (2021). Examining Team Interaction using Dynamic Complexity and Network Visualizations. 2021 IEEE 2nd International Conference on Human-Machine Systems (ICHMS), 1–6. https://doi.org/10.1109/ICHMS53169.2021.9582454
Wiltshire, T. J., Lobato, E. J. C., Garcia, D. R., Fiore, S. M., Jentsch, F. G., Huang, W. H., & Axelrod, B. (2015). Effects of Robotic Social Cues on Interpersonal Attributions and Assessments of Robot Interaction Behaviors. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 59(1), 801–805. https://doi.org/10.1177/1541931215591245
Wiltshire, T. J., Lobato, E. J. C., Jentsch, F. G., & Fiore, S. M. (2013). Will (dis) embodied LIDA agents be socially interactive. Journal of Artificial General Intelligence, 4(2), 42–47.
Wiltshire, T. J., Lobato, E. J. C., McConnell, D. S., & Fiore, S. M. (2015). Prospects for direct social perception: A multi-theoretical integration to further the science of social cognition. Frontiers in Human Neuroscience, 8(1007), 1–22. https://doi.org/10.3389/fnhum.2014.01007
Wiltshire, T. J., Lobato, E. J. C., Velez, J., Jentsch, F. G., & Fiore, S. M. (2014). An interdisciplinary taxonomy of social cues and signals in the service of engineering robotic social intelligence (R. E. Karlsen, D. W. Gage, C. M. Shoemaker, & G. R. Gerhart, Eds.; p. 90840F). https://doi.org/10.1117/12.2049933
Wiltshire, T. J., Lobato, E. J. C., Wedell, A. V., Huang, W., Axelrod, B., & Fiore, S. M. (2013). Effects of Robot Gaze and Proxemic Behavior on Perceived Social Presence during a Hallway Navigation Scenario. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 57(1), 1273–1277. https://doi.org/10.1177/1541931213571282
Wiltshire, T. J., Neville, K. J., Lauth, M. R., Rinkinen, C., & Ramirez, L. F. (2014). Applications of Cognitive Transformation Theory: Examining the Role of Sensemaking in the Instruction of Air Traffic Control Students. Journal of Cognitive Engineering and Decision Making, 8(3), 219–247. https://doi.org/10.1177/1555343414532470
Wiltshire, T. J., Philipsen, J. S., Trasmundi, S. B., Jensen, T. W., & Steffensen, S. V. (2020). Interpersonal Coordination Dynamics in Psychotherapy: A Systematic Review. Cognitive Therapy and Research, 44(4), 752–773. https://doi.org/10.1007/s10608-020-10106-3
Wiltshire, T. J., Rosch, K., Fiorella, L., & Fiore, S. M. (2014). Training for Collaborative Problem Solving: Improving Team Process and Performance through Metacognitive Prompting. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 58(1), 1154–1158. https://doi.org/10.1177/1541931214581241
Wiltshire, T. J., Smith, D. C., & Keebler, J. R. (2013). Cybernetic Teams: Towards the Implementation of Team Heuristics in HRI. In D. Hutchison, T. Kanade, J. Kittler, J. M. Kleinberg, F. Mattern, J. C. Mitchell, M. Naor, O. Nierstrasz, C. Pandu Rangan, B. Steffen, M. Sudan, D. Terzopoulos, D. Tygar, M. Y. Vardi, G. Weikum, & R. Shumaker (Eds.), Virtual Augmented and Mixed Reality. Designing and Developing Augmented and Virtual Environments (Vol. 8021, pp. 321–330). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-39405-8_36
Wiltshire, T. J., Snow, S. L., Lobato, E. J. C., & Fiore, S. M. (2014). Leveraging Social Judgment Theory to Examine the Relationship between Social Cues and Signals in Human-Robot Interactions. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 58(1), 1336–1340. https://doi.org/10.1177/1541931214581279
Wiltshire, T. J., & Steffensen, S. V. (2017). Examining Multiscale Movement Coordination in Collaborative Problem Solving. Proceedings of the Annual Meeting of the Cognitive Science Society, 39(0). https://escholarship.org/uc/item/97x478d9
Wiltshire, T. J., Steffensen, S. V., & Fiore, S. M. (2019). Multiscale movement coordination dynamics in collaborative team problem solving. Applied Ergonomics, 79, 143–151. https://doi.org/10.1016/j.apergo.2018.07.007
Wiltshire, T. J., Steffensen, S. V., & Likens, A. D. (2020). Challenges for using coordination-based measures to augment collaborative social interactions. In K. Viol, H. Schöller, & W. Aichhorn (Eds.), Selbstorganisation – ein Paradigma für die Humanwissenschaften: Zu Ehren von Günter Schiepek und seiner Forschung zu Komplexität und Dynamik in der Psychologie (pp. 215–230). Springer Fachmedien. https://doi.org/10.1007/978-3-658-29906-4_13
Wiltshire, T. J., Warta, S. F., Barber, D., & Fiore, S. M. (2017). Enabling robotic social intelligence by engineering human social-cognitive mechanisms. Cognitive Systems Research, 43, 190–207. https://doi.org/10.1016/j.cogsys.2016.09.005
Yang, J., Wiltshire, T. J., Hałgas, E. A., Eijndhoven, K. H. J. van, & Gevers, J. M. P. (2025). Biofeedback in team settings: A systematic review of applications and outcomes. Computers in Human Behavior Reports, 20(100831), 1–17. https://doi.org/10.1016/j.chbr.2025.100831