The lab’s research draws on a broad range of the methods employed across psychology, philosophy, linguistics, and computer science to better understand questions about how humans think both about the actual world and about non-actual possibilities (sometimes called “possible worlds”). We explore both how people think about possibilities themselves and how that influences the way that they think more generally, from the language they use, to the causal and moral judgments they make.
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Jul 2, 2025
Phillips, Jonathan; Acierno, Jane, 2024, "Inverse Option Generation", https://doi.org/10.7910/DVN/YVNX2N, Harvard Dataverse, V3, UNF:6:qc9hmR4+KkWzxCSmFeeimg== [fileUNF]
This repository contains the data, code, and experimental materials for Jane Acierno, Clare Kennedy, Fiery Cushman, and Jonathan Phillips (2025). Inverse option generation: Inferences about others’ values based on what comes to mind.
R Notebook - 52.3 KB - MD5: b5be09d8728d5711d5f0bcd61e37be54
R Notebook - 52.1 KB - MD5: 5378a944589f135c38dea0908adfe0c0
Tabular Data - 38.1 KB - 38 Variables, 150 Observations - UNF:6:roPOC6SphKH/+6MHBQXQpA==
Comma Separated Values - 1.0 MB - MD5: b3a33eb4c9aa9592fce6701c1a80aac5
Apr 24, 2025
Phillips, Jonathan, 2025, "Materials for Distinctly Perceptual Possibiliites", https://doi.org/10.7910/DVN/XST12H, Harvard Dataverse, V1, UNF:6:w3oZil3ciJG4BWDl7jAT9w== [fileUNF]
This repository contains the experiment files, data, preprocessing scripts, and analyses used to produce the paper, "Distinctly perceptual possibilities: Amodal completion is disrupted by visual, but not cognitive, load" by Camden Parker, Viola Störmer & Jonathan Phillips
R Notebook - 16.0 KB - MD5: f149e8409837f515c5f4539fb982e1fa
Adobe PDF - 1.3 MB - MD5: 1ea9096bf9c402f602d5e852e9187959
Tabular Data - 183.3 KB - 19 Variables, 1241 Observations - UNF:6:47gaDfwlutT+jFJY5jD5eA==
Tabular Data - 186.0 KB - 20 Variables, 1072 Observations - UNF:6:TXSZMVY3iOzmr7txexGwEQ==
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