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Comparing Different Sensemaking Approaches for Large-Scale Ideation.

, , and . CHI, page 2717-2728. ACM, (2016)

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Comparing Different Sensemaking Approaches for Large-Scale Ideation., , and . CHI, page 2717-2728. ACM, (2016)Using latent variable models to make gaming-the-system detection robust to context variations., , , , , , , , , and 1 other author(s). User Model. User Adapt. Interact., 33 (5): 1211-1257 (November 2023)IdeaGens: A Social Ideation System for Guided Crowd Brainstorming., , , , and . HCOMP, page 67-68. AAAI, (2014)Exploring the Link Between Motivations and Gaming., and . EDM, International Educational Data Mining Society (IEDMS), (2019)Improving Crowd Innovation with Expert Facilitation., , and . CSCW, page 1221-1233. ACM, (2016)Exploring the Human Fabric through an Analyst's Eyes., , , , , , and . SBP, volume 6007 of Lecture Notes in Computer Science, page 367-374. Springer, (2010)Detecting Diligence with Online Behaviors on Intelligent Tutoring Systems, , and . Proceedings of the Fourth (2017) ACM Conference on Learning @ Scale, page 51--59. New York, NY, USA, ACM, (2017)Item Response Theory-Based Gaming Detection., , , , , , , , , and . EDM, International Educational Data Mining Society, (2022)Improving Soft Pneumatic Actuator fingers through integration of soft sensors, position and force control, and rigid fingernails., , , , , , , , and . ICRA, page 5024-5031. IEEE, (2016)IdeaGens: Enabling Expert Facilitation of Crowd Brainstorming., , and . CSCW Companion, page 13-16. ACM, (2016)