Publications

Collins, M.G. & Juvina, I. (2021). Trust Miscalibration Is Sometimes Necessary: An Empirical Study and a Computational Model. Front. Psychol. 12:690089. doi: 10.3389/fpsyg.2021.690089.

Hough, A., O’Neill, K., & Juvina, I. (2021). Counterfactual-based Nudging and Signaling Promote More Efficient Coordination During Group Tasks. Comprehensive Results in Social Psychology.https://www.tandfonline.com/doi/full/10.1080/23743603.2020.1860674

Juvina, I., Larue, O., Widmer, C., Ganapathy, S., Nadella, S., Minnery, B., Ramshaw,
L., Servan-Schreiber, E., Balick, M., & Weischedel, R. (2020). Computer-supported collaborative information search for geopolitical forecasting. In Wai Tat Fu & Herre van Oostendorp (Eds.) Understanding and Improving Information Search – A Cognitive Approach. Human–Computer Interaction Series, Springer Nature. https://www.springer.com/gp/book/9783030388249

Juvina, I., Collins, M.G., Larue, O., Kennedy, W., de Visser, E., & de Melo, C. (2019). Toward a unified theory of learned trust in interpersonal and human-machine interactions. ACM Transactions in Interactive Intelligent Systems, 9(4), 1-33. https://doi.org/10.1145/3230735

Juvina, I., Larue, O., & Hough, A. (2018). Modeling valuation and core affect in a cognitive architecture: The impact of arousal and valence on memory and decision-making. Cognitive Systems Research 48: 4-24. http://dx.doi.org/10.1016/j.cogsys.2017.06.002

Juvina, I., Lebiere, C., & Gonzalez, C. (2015). Modeling trust dynamics in strategic interaction. Journal of applied research in memory and cognition. 4(3): 197-211. http://dx.doi.org/10.1016/j.jarmac.2014.09.004