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Tea: A High-level Language and Runtime System for Automating Statistical Analysis.

, , , , , , and . UIST, page 591-603. ACM, (2019)

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Types of Motivation Affect Study Selection, Attention, and Dropouts in Online Experiments., , and . PACMHCI, 1 (CSCW): 56:1-56:15 (2017)Cultural Adaptivity for the Semantic Web.. ISWC/ASWC, volume 4825 of Lecture Notes in Computer Science, page 946-950. Springer, (2007)PACMHCI V6, CSCW2, November 2022 Editorial., , , , , , and . Proc. ACM Hum. Comput. Interact., 6 (CSCW2): 1 (2022)PACMHCI V7, CSCW1, April 2023 Editorial., , , , , , , and . Proc. ACM Hum. Comput. Interact., 7 (CSCW1): 1 (April 2023)PACMHCI V6, CSCW1, April 2022 Editorial., , , , , , and . Proc. ACM Hum. Comput. Interact., 6 (CSCW1): 46:1 (2022)Choice Architecture for Human-Computer Interaction., , , , , , and . Found. Trends Hum. Comput. Interact., 7 (1-2): 1-235 (2014)The Exchange in StackExchange: Divergences between Stack Overflow and its Culturally Diverse Participants., , , and . PACMHCI, 2 (CSCW): 130:1-130:22 (2018)Volunteer-Based Online Studies With Older Adults and People with Disabilities., , and . ASSETS, page 229-241. ACM, (2018)NLPositionality: Characterizing Design Biases of Datasets and Models., , , , and . ACL (1), page 9080-9102. Association for Computational Linguistics, (2023)Enabling Designers to Foresee Which Colors Users Cannot See., , and . CHI, page 2693-2704. ACM, (2016)