Researchers
Jane Aristia
Project
“Prediction by production in spoken sentence processing and the effect of the unexpected”
Previous studies have shown that language comprehension occurs rapidly thanks to a predictive mechanism that uses sentential context to predict the upcoming input. Gambi and Pickering (2018) argued that prediction involves the production system to anticipate upcoming speech in-put. This notion is supported by Ito et al. (2020), they found that the cognitive system activates the syntactic representations prior to the phonological representations. Nonetheless, the study by Ito and collaborators, as well as most of previous studies in language prediction, were focused on reading. Here, we will test whether prediction by production also occurs during spoken language processing and the relation between prediction error and integration. To investigate this question, we will probe speech perception relying on the exquisite temporal resolution of EEG in combination with eye tracking. If prediction by production occurs during spoken language processing, similar to Ito et al. study, syntactic will be accessed earlier than phonological representations.
Short Bio
Jane completed a B.S. in Psychology from Universitas Katolik Widya (Surabaya, Indonesia) and a Master’s in Cognitive Neuroscience of Language from Universidad del Pais Vasco (San Sebastían, Spain).
She completed her PhD degree at Université de Lille in France under the supervision of Prof Angèle Brunellière.
During her PhD she investigated representations that are involved in language processing particularly subject-verb agreements using ERP techniques. Furthermore, in this period she has also developed interest in predictive mechanisms as during her investigation she found that language processing involves prediction.
She received a postdoctoral fellowship from Faculdade de Psicologia at Universidade de Lisboa. Hence, she did postdoctoral training in VoicES lab under the mentorship of Prof Ana Pinheiro. For her postdoctoral project she investigated if prediction by production also occurs in auditory sentence processing. Apart from that, during this postdoctoral period, she had the opportunity to organize Bayesian training to support early career researchers.
Her main research interests focus on the neural and behavioral underpinnings of spoken language processing, sentence comprehension, language prediction and production.
You can check her CV here.
