The DOI matches its Crossref record; 76 of the 76 references it cites were found in a registry or an index.
Predicting personality from patterns of behavior collected with smartphones
Open accessAbstract
Significance: Smartphones are sensor-rich computers that can easily be used to collect extensive records of behaviors, posing serious threats to individuals’ privacy. This study examines the extent to which individuals’ personality dimensions (assessed at broad domain and narrow facet levels) can be predicted from six classes of behavior: 1) communication and social behavior, 2) music consumption, 3) app usage, 4) mobility, 5) overall phone activity, and 6) day- and night-time activity, in a large sample. The cross-validated results show which Big Five personality dimensions are predictable and which specific patterns of behavior are indicative of which dimensions, revealing communication and social behavior as most predictive overall. Our results highlight the benefits and dangers posed by the widespread collection of smartphone data.
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The Potential of Generative AI for Personalized Persuasion at Scale
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Self-citationThe potential of generative AI for personalized persuasion at scale
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Self-citationHermann, E. (2022) · New Media & Society · doi:10.1177/14614448211022702 · Cited by 214
General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models
Molnar, C., König, G., Herbinger, J., Freiesleben, T., Dandl, S., Scholbeck, C. A., Casalicchio, G., Grosse-Wentrup, M., & Bischl, B. (2022) · Lecture Notes in Computer Science · doi:10.1007/978-3-031-04083-2_4 · Cited by 211
Self-citationEthical machines: The human-centric use of artificial intelligence
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Metadata
- Authors
- Stachl, C., Au, Q., Schoedel, R., Gosling, S. D., Harari, G. M., Buschek, D., Völkel, S. T., Schuwerk, T., Oldemeier, M., Ullmann, T., Hussmann, H., Bischl, B., & Bühner, M.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2020-07-14
- Volume
- 117
- Issue
- 30
- Pages
- 17680-17687
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W3043210715
- Cited by
- 348
- References
- 76
- FWCI
- 20.81
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Stachl, C., Au, Q., Schoedel, R., Gosling, S. D., Harari, G. M., Buschek, D., Völkel, S. T., Schuwerk, T., Oldemeier, M., Ullmann, T., Hussmann, H., Bischl, B., & Bühner, M. (2020). Predicting personality from patterns of behavior collected with smartphones. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1920484117
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