Dr. Reyna's Lab Members Fall 2016
Back Row: Jim Li, Susie Lu, Peter Ajayi, Shahin Rahimi (post doc), Elyse Katz, Tristan Ponzo, Joe DeTello, Christos Panagiotopoulos (grad).
Middle Row: Shravya Govindgari, Pooja Shah, Rachel Novick, Madison Ulczak, Kiara Thompson, Jen Greenberg, Ali Jenkins, Alexa Turpin, Garrett Heller, Ali Franz, Anna Karavengelas, Nicole Levine, Stacey Chen, Rochelle Tsemekhin, Christine Lin, Yuval Erez (grad).
Front Row: Bertrand Reyna-Brainerd, Ziyi Chen (grad), Rebecca Helm (grad; laboratory leader), Dr. Valerie Reyna (laboratory co-ordinator), David Garavito (grad), Lindsay Dower, Kate Fruitman, Nora Rabah, Jamie Methven, Alisha Meschkow (grad).
Not in Picture: Paige Varney, Robert Rong, Elana Molotsky.
Valerie Reyna, Director
Dr. Reyna is Professor of Human Development and Psychology at Cornell University, Co-director of the Cornell University Magnetic Resonance Imaging Facility and a Co-director of the Center for Behavioral Economics and Decision Research. Dr. Reyna holds a Ph.D. in experimental psychology from Rockefeller University. Her research encompasses human judgment and decision making, numeracy and quantitative reasoning, risk and uncertainty, medical decision making, social judgment, and false memory. She is a developer of fuzzy-trace theory, a model of the relation between mental representations and decision making that has been widely applied in law, medicine, and public health. Her recent work has focused on aging, neurocognitive impairment, and genetic risk factors (e.g., in Alzheimer's disease); rationality and risky decision making, particularly risk taking in adolescence; and neuroimaging models of framing and decision making. She has also extended fuzzy-trace theory to risk perception, numeracy, and dual processes in medical decision making by both physicians and patients.
Charles Brainerd, Collaborator
Dr. Brainerd holds B.S., M.A., and Ph.D. degrees in experimental and developmental psychology. He has published over 200 research articles and chapters, and he has also published over 20 books. His research covers areas such as human memory and decision-making, statistics and mathematical modeling, cognitive neuroscience, learning, intelligence, cognitive development, learning disability and child abuse. Dr. Brainerd's current research program centers on the relation between memory and higher reasoning abilities in children and adults, and it also focuses on false-memory phenomena. Together with Valerie Reyna, he is the co-developer of fuzzy-trace theory, a model of the relation between memory and higher reasoning that has been widely applied within medicine and law. He directs the Memory and Neuroscience Lab.
Current Team Leaders
David Garavito, JD / PhD Student
Ziyi Chen, Statistics Graduate Student
Current Undergraduate Lab Members
Collaborators and Alumni
Rebecca Weldon, Postdoctoral Associate
Dr. Weldon holds a Ph.D. in cognitive neuroscience from the George Washington University. Her dissertation work focused on working memory capacity and cognitive control. She is currently using fuzzy-trace theory to investigate individual differences and risk taking in behavior and the brain. Her research uses behavioral measures and fMRI to understand risky decision making in adolescents and adults.
Weldon, R. B., Corbin, J. C., & Reyna, V. F. (2013). Gist processing in judgment and decision making: Developmental reversals predicted by fuzzy-trace theory. In H. Markovits (Ed.), Understanding the development of reasoning and decision-making. Psychology Press.
Selected Papers & Posters Presented
Reyna, V. F., Chick, C. F., Weldon, R. B., Corbin, J. C., Wilhelms, E. A. (2013, May). Individual differences in gist representation versus sensation-seeking in neuroimaging of framing effects. Paper presented at the 3rd Annual Interdisciplinary Symposium on Decision Neuroscience, Philadelphia, PA.
Weldon, R. B., Reyna, V. F., Wilhelms, E. A., Corbin, J. C., Chick, C., & Brust-Renck, P. G. (2013, November). Sensation seeking and response-scale effects on rating versus categorizing rewards: A fuzzy-trace theory account. Poster presented at the 34th Annual Meeting of the Society for Judgment and Decision Making, Toronto, Canada.
Michael McCormick, Postdoctoral Associate
Dr. McCormick holds a Ph.D. in Social Psychology from the University of North Carolina at Greensboro. His research examines how differences in processing style influence the formation of judgments and decisions, including the relationships between analytic/contextual processing, manipulations of the brain's left or right hemisphere and judgmental errors. At Cornell, he will utilize fMRI analysis to extend support of these relationships and further reach into the field of decision neuroscience.
McCormick, M., & Seta, J. J. (2012). Lateralized goal framing: How selective presentation impacts message effectiveness. Journal of Health Psychology, 17, 1099-1109. http://dx.doi.org/10.1177/1359105311435944.
McCormick, M., & Seta, J. J. (2011). A new method for selectively enhancing hemisphere processing: Voice frequency amplification influences the strength of attribute framing. Laterality, 17, 727-735. http://dx.doi.org/10.1080/1357650X.2011.626559.
McElroy, T., McCormick, M., Stroh, N., & Seta, J. J. (2011). An investigation of measurement validity for a hemispheric activation scale. Laterality, 17, 736-740. http://dx.doi.org/10.1080/1357650X.2011.626560.
Seta, J. J., McCormick, M., Gallagher, P., McElroy, T., & Seta, C. E. (2010). Voice frequency impacts hemispheric processing of attribute frames. Journal of Experimental Social Psychology, 46, 1089-1092.
Selected Papers & Posters Presented
McCormick, M., & Seta, J. J. (2013, November). Color Frequency Affects Attribute Frames. Poster session presented at the annual meeting of the Society for Judgment and Decision Making, Toronto, Canada.
Voss, R., Corser, R., McCormick, M., & Jasper, J. D. (2013, November). Influencing Health Decision Making: A Study of Color and Message Framing. Poster session presented at the annual meeting of the Society for Judgment and Decision Making, Toronto, Canada.
McCormick, M., & Seta, J. J. (2012, November). Amplified Goal Framing. Poster session presented at the annual meeting of the Society for Judgment and Decision Making, Minneapolis, MN.
McCormick, M., & Seta, J. J. (2011, November). Amplified Attribute Framing. Poster session presented at the annual meeting of the Society for Judgment and Decision Making, Seattle, WA.
David Broniatowski, Collaborator
Dr. Broniatowski holds a Ph.D. in Engineering Systems, as well as a dual-Master's in Aero/Astro Engineering and Technology and Policy. He is a professor at the George Washington University, and is currently collaborating with the Laboratory for Rational Decision Making. His research includes decision-making under risk, group decision-making, system architecture, and behavioral epidemiology, and he draws upon a variety of techniques ranging from natural language processing applied to social media and meeting transcripts, to more conventional survey and experimental designs. He actively collaborates with computer scientists, engineers, experimental psychologists, physicians, and sociologists in order to develop data-driven theories, specifically in how members of different social and demographic groups construct meaning in public health settings.
Evan Wilhelms, Laboratory Leader
Evan's research interests lie in the field of cognitive psychology. His primary topic of interest is judgment and decision making, with implications for financial and health well being in adolescents and adults.
Wilhelms, E. A., Reyna, V. F., Brust-Renck, P. G., Weldon, R. B., & Corbin, J. C. (in press). Gist representations and communication of risks about HIV-AIDS: A fuzzy-trace theory approach. Current HIV Research.
Wilhelms, E. A., & Reyna, V. F. (2015). Neuroeconomics, judgment, and decision making. New York, NY: Psychology Press.
Wilhelms, E. A., & Reyna, V. F. (2013). Fuzzy trace theory and medical decisions by minors: Differences in reasoning between adolescents and adults. Journal of Medicine and Philosophy, 38 (3).
Honors & Awards
Papers & Posters Presented
Reyna, V.F., Wilhelms, E.A., Brust, P.G., Sui, W., Pardo, S.T., & Corbin, J.C. (2011, November). Delay discounting and reward sensitivity: A fuzzy trace theory approach. Poster presented at the 32nd annual meeting of the Society for Judgment and Decision Making, Seattle, WA.
Brust, P.G., Reyna, V.F., Wilhelms, E.A., Sui, W., & Corbin, J.C. (2011, November). The gist of choice: The role of numbers in decision making. Poster presented at the 32nd annual meeting of the Society for Judgment and Decision Making, Seattle, WA.
Priscila Brust-Renck, Collaborator
Dr. Brust-Renck holds a Ph.D in developmental psychology from Cornell University. Her research lies in the fields of cognitive psychology and behavioral economics and decision research. In particular, her work focuses on judgment and decision making and numerical condition with implications for health and medical decision making and risk communication. Her latest projects include developing a gist numeracy scale and interventions to communicate risk about breast cancer and genetic risk and about obesity prevention. She is particularly interested in the theoretical mechanisms guiding human decision processes.
Brust-Renck, P. G. , Reyna, V. F., Corbin, J. C., Royer, C. E., Weldon, R. B. (2015). The role of numeracy in risk communication. In H. Cho, T. Reimer, & K. A. McComas (Eds.), The Sage Handbook of Risk Communication (pp. 134-148). Thousand Oaks, CA: Sage Publications.
Brust-Renck, P. G. , Royer, C. E., & Reyna, V. F. (2013). Communicating numerical risk: Human factors that aid understanding in health care. Review of Human Factors and Ergonomics, 8(1), 235-276.
Wolfe, C. R., Reyna, V. F., Widmer, C. L., Cedillos, E. M., Fisher, C. R., Brust-Renck, P. G., & Weil, A. M. (2015). Efficacy of a web-based intelligent tutoring system for communicating genetic risk of breast cancer: A fuzzy-trace theory approach . Medical Decision Making, 35(1), 46-59. doi:10.1177/0272989X14535983
Chrissie studies determinants of risky decision making, including mental representations, reward response, and inhibition. Her work focuses on the interaction of emotion and numerical cognition with each of these processes. She is particularly interested in developmental differences, as revealed by behavioral and fMRI data.
Chick, C. F. (2014). Basic mechanisms of numerical processing: Symbolic and nonsymbolic numerosity in the intraparietal sulcus. Journal of Neuroscience, 34(5), 1567-1569. doi: 10.1523/JNEUROSCI.4771-13.2014
Reyna, V. F., Chick, C. F., Corbin, J. C., & Hsia, A. N. (2014). Developmental reversals in risky decision-making: Intelligence agents show larger decision biases than college students. Psychological Science,25(1), 76-84. doi: 10.1177/0956797613497022
Papers & Posters Presented
Weldon, R. B., Reyna, V. F., Corbin, J. C., Chick, C. F., Brust-Renck, P. G., & Setton, R. A. (2014, November). Gist processing predicts performance on the emotional go/no-go task: A fuzzy-trace theory account. Poster presented at the 35th Annual Meeting of the Society for Judgment and Decision Making, Long Beach, CA.
Reyna, V. F., Evans, A. E., Chick, C. F., Weldon, R. B., Corbin, J. C., & Wilhelms, E. A. (2014, November). Gist representations reduce risk-taking despite heightened reward sensitivity. Paper presented at the 55th Annual Meeting of the Psychonomic Society, Long Beach, CA.
Chick, C. F.,Reyna, V. F., Weldon, R. B., Corbin, J. C., Jones-Rounds, J. (2014, September). Neural correlates of framing effects in highly numerate individuals. Poster presented at the Annual Meeting of the Society for Neuroeconomics, Miami, FL.
Honors & Awards