Water Is and Is Not H<sub>2</sub>O, Depending on Who You Ask: Conceptualizations of Water Vary Across Chemists and Laypeople
Conceptual representations can be shaped by multiple factors, including expertise. In this study, we tested whether the concept of water is represented differently across laypeople and chemists, focusing on psychological essentialism. Essentialized categories are thought to be determined by internal factors (e.g., chemical composition). Previous research suggests laypeople do not essentialize "water." Here, we sought to verify whether extensive experience with chemicals might lead to more essentialist conceptions. In the first two experiments, participants provided H<sub>2</sub>O estimates, typicality, centrality, and frequency ratings for water examples, which showed that chemists partially incorporate H<sub>2</sub>O in their conceptual representation of "water." Experiment 3 underlined qualitative differences in the semantic organization of "water" across the two groups using similarity ratings. Experiment 4 consolidated these results with a sentence acceptability task, underlying the importance of chemical composition in determining what counts as "water" for chemists. Finally, Experiment 5 showed that laypeople consider both "H<sub>2</sub>O" and "water" as more abstract compared to chemists. Our results provide evidence on the variability of both psychological essentialism and conceptual representation overall, which can vary as a function of expertise.
Authors
- Chiara Fini (ORCID: https://orcid.org/0000-0002-9939-4745)
- Anna M. Borghi (ORCID: https://orcid.org/0000-0001-9455-8408)
- Ilenia Falcinelli (ORCID: https://orcid.org/0000-0002-7692-5881)
- Claudia Mazzuca (ORCID: https://orcid.org/0000-0002-1568-2425)
- Marta Arcovito
Institutions
- University of Messina (IT)
- National Academies of Sciences, Engineering, and Medicine (US)
- University of Modern Sciences (AE)
- Institute of Cognitive Sciences and Technologies (IT)
- Sapienza University of Rome (IT)
Publication Details
- Journal
- Cognitive Science
- Published
- 2025-08-01
- DOI
- https://doi.org/10.1111/cogs.70094
- Citations
- 3
- Primary Topic
- Advanced Text Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 7.44