Hello! I’m Nadya, and I am a PhD researcher at HU[AM]. My research focuses on social norms in human-AI interaction. I study how social norms around the use of AI emerge, how they shape people’s behavior toward and with AI, and how this understanding can inform safer AI integration.
Previously, I earned my MA in Social and Experimental Psychology from New York University, where I used a behavioral economics approach to understand human-AI cooperation. Outside of the lab, I enjoy watching sports and exploring new places to visit and eat.
Globig, L. K, Hanaveriesa, N., Levine, S., & Van Bavel, J. (2026). Predicting the Machine: Intentionality Framing Reduces the Prediction Gap in Human–AI Cooperation. Proceedings of the Annual Meeting of the Cognitive Science Society, 48. Retrieved from https://escholarship.org/uc/item/5k9692v3
Hudiyana, J., Patricia, A., Hanaveriesa, N., Siregar, A. L. T., & Putra, I. E. (2026). The leap of faith in science hypothesis: The link between secular belief and confidence in scientific consensus is better explained by faith in science than by knowledge. Public Understanding of Science, 35(3), 333–351. https://doi.org/10.1177/09636625251396368
