Abstract:
The prevalent text-based form of human-generative AI interactions has blurred the lines between code and prose. I argue that understanding the cognitive effects of these interactions by modeling users not only as programmers, but as readers, will inform the design of better tools to bolster human agency in generative AI interactions. I hope to begin a conversation around the uses of cognitive literary science for the study of the psychology of programming.
PPIG 2024 - 35th Annual Workshop
For Modeling Programmers as Readers with Cognitive Literary Science