13468 research outputs found
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Honori May Cornell
No full textBlack and white photograph of Honori May Cornell sitting on a rock face beside a stream. The front is labeled Honori May Cornell and the back is labeled Honori.https://digitalcommons.otterbein.edu/cornell_images/1144/thumbnail.jp
Scaffolding Mental State Inference with Abstract Representations
No full textHow do people reason about other people’s minds? Recent work has shown inferences about others’ mental states (“mentalizing”) relies on Bayesian reasoning over an intuitive theory of others’ minds. Bayesian computational models have allowed researchers to formalize predictions about how people process information during mentalizing, and such models predict human mentalizing with great accuracy. Despite their success, these models are limited to simple inferences, and they do not scale to complex inferences humans can make featuring large sets of possible mental states. I discuss how people can use abstract representations to simplify such large spaces of possibilities. I hypothesized that, in the case of inferring mental states from observed actions, people use abstract dimensions outlined in the ‘3D Mind Model’ and ‘ACTFASTaxonomy’ (e.g., Valence is an abstract dimension referring to how positive or negative a mental state is). To test this hypothesis, I created a computational model that utilizes these abstract representations to make inferences, and examined whether it captured people’s inferences as well as a model not using abstract representations. I collected data on human inferences in an online experiment, in which participants made ratings about how likely some particular mental state was to have caused a given action. These human inferences were compared to the models’ predictions for each trial. The model with abstract representations predicted human inferences just as well as the other model, supporting the main hypothesis. Yet, all models predicted human inferences less accurately than previous studies, weakening the conclusions drawn from the main analyses. I discuss the implications of these findings, and the clues they provide into what abstract representations may scaffold the process of mentalizing
Cabaret (2023)
No full texthttps://digitalcommons.otterbein.edu/theatre_dance_gallery/5684/thumbnail.jp
Everybody (2023)
No full texthttps://digitalcommons.otterbein.edu/theatre_dance_gallery/5690/thumbnail.jp
Dance 2023: Escape to Wonderland
No full texthttps://digitalcommons.otterbein.edu/theatre_dance_gallery/5742/thumbnail.jp
Lucinda Lenore Merriss Cornell as a Child
No full textImage of Lucinda Lenore Merriss Cornell as a young girlhttps://digitalcommons.otterbein.edu/cornell_images/1025/thumbnail.jp
Merriss\u27 First Grade Class
No full textPhotograph taken of Merris\u27 first grade class. Nine children have been labeled with numbers.https://digitalcommons.otterbein.edu/cornell_images/1070/thumbnail.jp
Geneva Cornell With Bike
No full textPhotograph of Abbie Geneva Cornell outside with a bike. The back is labeled Geneva Cornell .https://digitalcommons.otterbein.edu/cornell_images/1090/thumbnail.jp
University Update- August 2023
Get PDFThis is an Otterbein University presidential update to the staff and faculty, informing them on changes to campus