2009
Boker, S., Cohn, J., Theobald, B., Matthews, I., Brick, T., & Spies, J. (). Effects of damping head movement and facial expression in dyadic conversation using real-time facial expression tracking and synthesized avatars. Philosophical Transactions of the Royal Society B: Biological Sciences, 364(1535), 3485-3495. https://doi.org/10.1098/rstb.2009.0152
Brick, T., Spies, J., Theobald, B., Matthews, I., & Boker, S. (). High-presence, low-bandwidth, apparent 3D video-conferencing with a single camera. , 308-311. https://doi.org/10.1109/WIAMIS.2009.5031494
Oravecz, Z., Tuerlinckx, F., & Vandekerckhove, J. (). A hierarchical Ornstein-Uhlenbeck model for continuous repeated measurement data. Psychometrika, 74(3), 395-418. https://doi.org/10.1007/s11336-008-9106-8
Messinger, D., Mahoor, M., Chow, S., & Cohn, J. (). Automated measurement of facial expression in infant - Mother interaction: A pilot study. Infancy, 14(3), 285-305. https://doi.org/10.1080/15250000902839963
Theobald, B., Matthews, I., Mangini, M., Spies, J., Brick, T., Cohn, J., & Boker, S. (). Mapping and Manipulating Facial Expression. Language and Speech, 52(2), 369-386. https://doi.org/10.1177/0023830909103181
Ong, A., Bergeman, C., & Chow, S. (). Positive emotions as a basic building block of resilience in later life: Handbook of adult resilience: Concepts, methods, and applications. , 81-93.
Brick, T., Hunter, M., & Cohn, J. (). Get the FACS fast: Automated FACS face analysis benefits from the addition of velocity. Proceedings of the 2009 International Conference on Affective Computing & Intelligent Interactions (ACII 2009), 1-7. https://doi.org/10.1109/ACII.2009.5349600
Chow, S., Ferrer, E., & Hsieh, F. (). Statistical methods for modeling human dynamics: An interdisciplinary dialogue. Notre Dame Series on Quantitative Methodology (Vol. 4). .
Brick, T., Hunter, M., & Cohn, J. (). Abstract: Towards Automatic Coding of Facial Expression. Multivariate Behavioral Research, 44(6), 849. https://doi.org/10.1080/00273170903467356
Ferrer, E., Chen, S., Chow, S., & Hsieh, F. (). Exploring intra- and inter individual dynamics in dyadic interactions through hierarchical factor segmentation: Statistical methods for modeling human dynamics: An interdisciplinary dialogue. , 381-411.
Chow, S., & Filteau, G. (). A state–space approach to representing discontinuous shifts in change processes: Individual Pathways of Change in Learning and Development. .
Chow, S., Hamaker, E., & Allaire, J. (). Using innovative outliers to detect discrete shifts in dynamics in group-based state-space models. Multivariate Behavioral Research, 44(4), 465-496. https://doi.org/10.1080/00273170903103324
2008
Chow, S., & Zhang, G. (). Continuous-time modelling of irregularly spaced panel data using a cubic spline model. Statistica Neerlandica, 62(1), 131-154. https://doi.org/10.1111/j.1467-9574.2007.00379.x
Messinger, D., Mahoor, M., Cadavid, S., Chow, S., & Cohn, J. (). Early interactive emotional development. , 232-237. https://doi.org/10.1109/DEVLRN.2008.4640835
2007
Chow, S., Hamagami, F., & Nesselroade, J. (). Age Differences in Dynamical Emotion-Cognition Linkages. Psychology and Aging, 22(4), 765-780. https://doi.org/10.1037/0882-7974.22.4.765
Brick, T., Schermerhorn, P., & Scheutz, M. (). Speech and action: Integration of action and language for mobile robots. , 1423-1428. https://doi.org/10.1109/IROS.2007.4399576
Brick, T., & Scheutz, M. (). Incremental natural language processing for HRI. , 263-270. https://doi.org/10.1145/1228716.1228752
Chow, S., & Tiberio, S. (). Discussion on Ramsey et al.’s paper, “Parameter estimation for differential equations: A generalized smoothing approach". Journal of the Royal Statistical Society: Series B.
Schermerhorn, P., Kramer, J., Brick, T., Anderson, D., Dingler, A., & Scheutz, M. (). DIARC: A testbed for natural human-robot interaction. , 45-52.
Chow, S. (). Factor score and parameter estimation in nonlinear dynamical systems models: Longitudinal models in the behavioral and related sciences. , 107–138.
Chow, S., Ferrer, E., & Nesselroade, J. (). An unscented kalman filter approach to the estimation of nonlinear dynamical systems models. Multivariate Behavioral Research, 42(2), 283-321. https://doi.org/10.1080/00273170701360423
Brick, T. (). TIDE: Timing-sensitive Incremental Discourse Engine. .
2005
Ram, N., Chow, S., Bowles, R., Wang, L., Grimm, K., Fujita, F., & Nesselroade, J. (). Examining interindividual differences in cyclicity of pleasant and unpleasant affects using spectral analysis and item response modeling. Psychometrika, 70(4), 773-790. https://doi.org/10.1007/s11336-001-1270-5
Chow, S., Ram, N., Fujita, F., Boker, S., & Clore, G. (). Emotion as a thermostat: Representing emotion regulation using a damped oscillator model. Emotion, 5(2), 208-225. https://doi.org/10.1037/1528-3542.5.2.208
Ram, N., Chow, S., Bowles, R., Wang, L., Grimm, K., Fujita, F., & Nesselroade, J. (). Recovering cyclicity in pleasant and unpleasant affect using spectral analysis, the Rating Scale model, and planned incompleteness. Psychometrika: Application Reviews and Case Studies, 70, 773–790.