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Jackie Cavazos
Postdoctoral Scholar School of Education Email: jacqueline.cavazos@uci.edu phone: (949) 824-5118 office: Education 3200 |
Biography
Jacqueline Cavazos is a postdoctoral scholar in the Language and Learning Analytics (LaLA) Lab working with Dr. Nia Dowell. Jacqueline’s current research interests focus on human-computer interactions, diversity in group collaborative problem solving, and AI-based interventions to promote inclusion, particularity in STEM-related contexts.
Jacqueline received her B.A. in Psychology from California State University, Fullerton. She earned her Ph.D in Psychological Sciences from the University of Texas at Dallas (UTD). While at UTD she examined the effect of race on face recognition in humans and face recognition algorithms, and explored strategies (such as group collaboration) to mitigate these effects.
Selected Publications
Cavazos, J. G., Phillips, P. J., Castillo, C. D., & O’Toole, A. J. (2020). Accuracy comparison across face recognition algorithms: Where are we on measuring race bias?. IEEE Transactions on Biometrics, Behavior, and Identity Science.
Cavazos, J. G., Noyes, E., & O'Toole, A. J. (2019). Learning context and the other-race effect: Strategies for improving face recognition. Vision research, 157, 169-183. doi:10.1016/j.visres.2018.03.003
Phillips, P.J., Yates, A.N., Hu, Y., Hahn, C.A., Noyes, E., Jackson, K., Cavazos, J.G., Jeckeln, G., Ranjan, R., Sankaranarayanan, S., Chen, J-C., Castillo, C.D., Chellappa, R., White, D., & O’Toole, A.J. (2018). Face recognition accuracy of forensic examiners, superrecognizers, and face recognition algorithms. Proceedings of the National Academy of Sciences. doi:10.1073/pnas.1721355115.
Jeckeln, G., Hahn, C.A., Noyes, E., Cavazos, J.G., & O’Toole, A. J. (2018). Wisdom of the social versus non-social crowd for face identification. British Journal of Psychology. doi:10.1111/bjop.12291.
January 2021
Jacqueline Cavazos is a postdoctoral scholar in the Language and Learning Analytics (LaLA) Lab working with Dr. Nia Dowell. Jacqueline’s current research interests focus on human-computer interactions, diversity in group collaborative problem solving, and AI-based interventions to promote inclusion, particularity in STEM-related contexts.
Jacqueline received her B.A. in Psychology from California State University, Fullerton. She earned her Ph.D in Psychological Sciences from the University of Texas at Dallas (UTD). While at UTD she examined the effect of race on face recognition in humans and face recognition algorithms, and explored strategies (such as group collaboration) to mitigate these effects.
Selected Publications
Cavazos, J. G., Phillips, P. J., Castillo, C. D., & O’Toole, A. J. (2020). Accuracy comparison across face recognition algorithms: Where are we on measuring race bias?. IEEE Transactions on Biometrics, Behavior, and Identity Science.
Cavazos, J. G., Noyes, E., & O'Toole, A. J. (2019). Learning context and the other-race effect: Strategies for improving face recognition. Vision research, 157, 169-183. doi:10.1016/j.visres.2018.03.003
Phillips, P.J., Yates, A.N., Hu, Y., Hahn, C.A., Noyes, E., Jackson, K., Cavazos, J.G., Jeckeln, G., Ranjan, R., Sankaranarayanan, S., Chen, J-C., Castillo, C.D., Chellappa, R., White, D., & O’Toole, A.J. (2018). Face recognition accuracy of forensic examiners, superrecognizers, and face recognition algorithms. Proceedings of the National Academy of Sciences. doi:10.1073/pnas.1721355115.
Jeckeln, G., Hahn, C.A., Noyes, E., Cavazos, J.G., & O’Toole, A. J. (2018). Wisdom of the social versus non-social crowd for face identification. British Journal of Psychology. doi:10.1111/bjop.12291.
January 2021
