PersonaBase: A Formative Evaluation Study of Computational Resources for Data-Driven Personas
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Salminen, J., Amin, D., Kaate, I., & Jansen, B. J. (2026). PersonaBase: A Formative Evaluation Study of Computational Resources for Data-Driven Personas. In S. Brooker, F. Benatti, M. Pisarski, & A. Adamou (Eds.), HT '26: Proceedings of the 37th ACM Conference on Hypertext (pp. 351-360). Association for Computing Machinery. https://doi.org/10.1145/3800935.3830833
© 2026 Copyright held by the owner/author(s). This work is licensed under a Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0
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Drawing inspiration from the natural language processing community’s definitions of tasks, datasets, metrics, and baselines, we present PersonaBase, a repository of computational resources for data-driven persona (DDP) research. PersonaBase contains (1) computational notebooks that present algorithmic approaches for persona generation and evaluation, (2) persona generation prompts, (3) persona systems, and (4) datasets with user data or personas. Formative evaluation with four domain experts suggests that PersonaBase addresses a real need and suggests that DDP benchmarking can be further developed through community building and learning from other computing sciences.
Emojulkaisu
HT '26: Proceedings of the 37th ACM Conference on Hypertext
ISBN
979-8-4007-2564-7
ISSN
Aihealue
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