Here are my abstract and poster for CUNY 2018.
Our study evaluated whether listeners can use spatial deixis (e.g., this, that) to predict a speaker’s likely referent. Adults and 5-year-olds viewed scenes while listening to deictic sentences (e.g., Look at that beautiful baby) and neutral sentences (e.g., Look at the beautiful baby). We found that both adults and children used deixis to predict the plurality of the referent, but only adults used deixis to predict the proximity of the referent (e.g., using this to anticipate a referents proximal to the speaker). In sum, our findings reveal specific developmental changes in how prediction occurs during language processing.
Looking forward to next year!
Reuter, T., Emberson, L. L., Romberg, A. R., & Lew-Williams, C. (in press). Individual differences in nonverbal prediction and vocabulary size in infancy. Cognition.
Big thanks to my co-authors, Fernanda Fernandez and Jean Bellamy, and all our participant families!
The Princeton Program in Cognitive Science is now funding my research on language processing and prediction via simulation. Thanks to everyone who helped me in formulating these ideas and writing the application, especially Casey Lew-Williams and Jessie Schwab!
Here are my abstract and poster for SRCD 2017.
This work is currently under review for publication, so stay tuned!
Here are my abstract and poster for CUNY 2017.
Our experiment was a first attempt to test a direct, causal relation between prediction and learning. We find that prediction itself doesn’t explain how children learn novel words, but 3-year-olds and 4-year-olds who predict and redirect attention toward the novel referent were more successful in learning. That being said, learning 12 novel words in just a few minutes was clearly difficult for children, as indicated by their low accuracy at test. In sum, further experiments are needed to evaluate the role of prediction in learning, and to clarify what other factors (e.g., cognitive control) are involved during learning.
It was a great time, as always, despite the snow!
Looking forward to CUNY 2018!
Here is my research statement for my 2016 NSF graduate fellowship proposal.
Hopefully 2nd time’s the charm!
This year, I gave a talk on nonverbal prediction at BUCLD.
Below are an abstract and slides for reference. I’m working on this paper with Lauren Emberson, Alexa Romberg, and Casey Lew-Williams, so stay tuned for the publication.
Prediction may be a language learning mechanism. This idea is supported by research showing that children with larger vocabularies (MCDI, PPVT) generate verbal predictions while processing language, and flexibly update predictions in light of new information. But do predictions support language learning, or vice-versa? In the present study, we assessed nonverbal prediction and vocabulary (MCDI) in 12-24-month-old infants (n=50). Infants with larger vocabularies efficiently updated nonverbal predictions in light of new information. This work reveals that links between prediction and language learning extend beyond the verbal domain, and are apparent even in infancy. Given the vast potential for making inaccurate predictions, the ability to continuously update predictions may be crucial for learning. In ongoing experiments, I am exploring the complex relations between language input, nonverbal prediction, verbal prediction, and language learning.
Here are slides for reference.