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Predicting users' first impressions of website aesthetics with a quantification of perceived visual complexity and colorfulness.

, , , , , , and . CHI, page 2049-2058. ACM, (2013)

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Cultural Adaptivity for the Semantic Web.. ISWC/ASWC, volume 4825 of Lecture Notes in Computer Science, page 946-950. Springer, (2007)Choice Architecture for Human-Computer Interaction., , , , , , and . Found. Trends Hum. Comput. Interact., 7 (1-2): 1-235 (2014)Volunteer-Based Online Studies With Older Adults and People with Disabilities., , and . ASSETS, page 229-241. ACM, (2018)Enabling Designers to Foresee Which Colors Users Cannot See., , and . CHI, page 2693-2704. ACM, (2016)Quantifying visual preferences around the world., and . CHI, page 11-20. ACM, (2014)NLPositionality: Characterizing Design Biases of Datasets and Models., , , , and . ACL (1), page 9080-9102. Association for Computational Linguistics, (2023)BLIP: Facilitating the Exploration of Undesirable Consequences of Digital Technologies., , , and . CHI, page 290:1-290:18. ACM, (2024)Tell Me Where You've Lived, and I'll Tell You What You Like: Adapting Interfaces to Cultural Preferences., and . UMAP, volume 5535 of Lecture Notes in Computer Science, page 185-196. Springer, (2009)Data Through Others' Eyes: The Impact of Visualizing Others' Expectations on Visualization Interpretation., , and . IEEE Trans. Vis. Comput. Graph., 24 (1): 760-769 (2018)Citizen Science Opportunities in Volunteer-Based Online Experiments., , and . CHI, page 6800-6812. ACM, (2017)