Browsing FAS Scholarly Articles by Keyword "crowdsourcing"

Now showing items 1-8 of 8

    • AXIS: Generating Explanations at Scale with Learnersourcing and Machine Learning 

      Williams, Joseph Jay; Kim, Juho; Rafferty, Anna; Maldonado, Samuel; Gajos, Krzysztof Z; Lasecki, Walter; Heffernan, Neil (2016)
      While explanations may help people learn by providing information about why an answer is correct, many problems on online platforms lack high-quality explanations. This paper presents AXIS (Adaptive eXplanation Improvement ...

    • Collaborative Health Care Plan Support 

      Amir, Ofra; Grosz, Barbara J.; Law, Edith Lok Man; Stern, Roni (ACM, 2013)
      This paper envisions a multi-agent system that assists patients and their health care providers. This system would support a diverse, evolving team in formulating, monitoring and revising a shared "care plan" that operates ...

    • Crowdsourcing General Computation 

      Zhang, Haoqi; Horvitz, Eric; Miller, Rob C.; Parkes, David C. (Association for Computing Machinery, 2011)
      We present a direction of research on principles and methods that can enable general problem solving via human computation systems. A key challenge in human computation is the effective and efficient coordination of problem ...

    • Curiosity Killed the Cat, but Makes Crowdwork Better 

      Law, Edith; Yin, Ming; Goh, Joslin; Chen, Kevin; Terry, Michael; Gajos, Krzysztof Z (2016)
      Crowdsourcing systems are designed to elicit help from humans to accomplish tasks that are still difficult for computers. How to motivate workers to stay longer and/or perform better in crowdsourcing systems is a critical ...

    • A generalized approach for producing, quantifying, and validating citizen science data from wildlife images 

      Swanson, Alexandra; Kosmala, Margaret; Lintott, Chris; Packer, Craig (John Wiley and Sons Inc., 2016)
      Abstract Citizen science has the potential to expand the scope and scale of research in ecology and conservation, but many professional researchers remain skeptical of data produced by nonexperts. We devised an approach ...

    • Learning from the Crowd: Observational Learning in Crowdsourcing Communities 

      Mamykina, Lena; Smyth, Thomas; Dimond, Jill; Gajos, Krzysztof Z (ACM, 2016)
      Crowd work provides solutions to complex problems effectively, efficiently, and at low cost. Previous research showed that feedback, particularly correctness feedback can help crowd workers improve their performance; yet ...

    • PlateMate: Crowdsourcing Nutrition Analysis from Food Photographs 

      Noronha, Jon; Hysen, Eric; Zhang, Haoqi; Gajos, Krzysztof Z. (Association for Computing Machinery, 2011)
      We introduce PlateMate, a system that allows users to take photos of their meals and receive estimates of food intake and composition. Accurate awareness of this information can help people monitor their progress towards ...

    • Season Spotter: Using Citizen Science to Validate and Scale Plant Phenology from Near-Surface Remote Sensing 

      Kosmala, Margaret C; Crall, Alycia; Cheng, Rebecca; Hufkens, Koen; Henderson, Sandra; Richardson, Andrew (MDPI AG, 2016)
      Abstract: The impact of a rapidly changing climate on the biosphere is an urgent area of research for mitigation policy and management. Plant phenology is a sensitive indicator of climate change and regulates the seasonality ...