Skip to main content

Martin Zettersten

Assistant Professor

Language and cognitive development, active information-seeking and curiosity, statistical learning, word learning, big data in developmental research, infant looking time and eye-tracking methods.

Kosie, J. E., Zettersten, M., & the ManyBabies5 team (2023). ManyBabies 5: A large-scale investigation of the proposed shift from familiarity preference to novelty preference in infant looking time. PsyArXiv.

Koranda, M., Zettersten, M., & MacDonald, M. (2022). Good-enough production: Selecting easier words instead of more accurate ones. Psychological Science, 33(9), 1440-1451.

Zettersten, M., Yurovsky, D., Xu, T. L., Uner, S., Tsui, A.S.T., Schneider, R. M., Saleh, A. N., Meylan, S. C., Marchman, V., Mankewitz, J., MacDonald, K., Long, B., Lewis, M., Kachergis, G., Handa, K., deMayo, B., Carstensen, A., Braginsky, M., Boyce, V., Bhatt, N., Bergey, C. A., & Frank, M.C. (2022). Peekbank: An open, large-scale repository for developmental eye-tracking data of children’s word recognition. Behavior Research Methods, 55, 2485-2500.

Zettersten, M., & Saffran, J. (2021). Sampling to learn words: Adults and children sample words that reduce referential ambiguity. Developmental Science, 24(3), e13064.

Lupyan, G., & Zettersten, M. (2021). Does vocabulary help structure the mind? In Sera, M., & Koenig, M. (Eds.). Minnesota Symposia on Child Psychology: Human Communication: Origins, Mechanisms, and Functions, Volume 40 (pp. 160-199). Hoboken, NJ: John Wiley & Sons. 

Zettersten, M., & Lupyan, G. (2020). Finding categories through words: More nameable features improve category learning. Cognition, 196, 104135.

Lewis, M., Zettersten, M., & Lupyan, G. (2019). Distributional semantics as a source of visual knowledge. Proceedings of the National Academy of Sciences, 116(39), 19237-19238.

You can view my full CV here.