Resolvable vs. Irresolvable Disagreement: A Study on Worker Deliberation in Crowd Work
Schaekermann, Mike and Goh, Joslin and Larson, Kate and Law, Edith. In Proceedings of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 18).
[ Best Paper Award ]
Curiously Motivated: Profiling Curiosity with Self-Reports and Behaviour Metrics in the Game "Destiny"
Schaekermann, Mike and Ribeiro, Giovanni and Wallner, Guenter and Kriglstein, Simone and Johnson, Daniel and Drachen, Anders and Sifa, Rafet and Nacke, Lennart E. In Proceedings of the 2017 SIGCHI Annual Symposium on Computer-Human Interaction in Play (CHI PLAY 17).
Online Bayesian Transfer Learning for Sequential Data Modeling
Jaini, Priyank and Chen, Zhitang and Carbajal, Pablo and Law, Edith and Middleton, Laura and Regan, Kayla and Schaekermann, Mike and Trimponias, George and Tung, James and Poupart, Pascal. In Proceedings of the 5th International Conference on Learning Representations (ICLR 2017).
Testing Incremental Difficulty Design in Platformer Games
Wehbe, Rina R and Mekler, Elisa D and Schaekermann, Mike and Lank, Edward and Nacke, Lennart E. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI 2017).
Expert Disagreement in Sequential Labeling: A Case Study on Adjudication in Medical Time Series Analysis
Schaekermann, Mike and Law, Edith and Larson, Kate and Lim, Andrew. In 1st Workshop on Subjectivity, Ambiguity and Disagreement in Crowdsourcing at HCOMP 2018.
Resolvable vs. Irresolvable Ambiguity: A New Hybrid Framework for Dealing with Uncertain Ground Truth
Schaekermann, Mike and Law, Edith and Williams, Alex C and Callaghan, William. In 1st Workshop on Human-Centered Machine Learning at SIGCHI 2016.
The Big Picture: Preserving Context in the Decomposition of Complex Expert Tasks
Williams, Alex C and Bradshaw, Josh and Schaekermann, Mike and Tse, Timmy and Callaghan, William and Law, Edith. In 1st Workshop on Microproductivity at SIGCHI 2016.
Implementation of a Collaborative Web Application for Annotating Gameplay Videos Based on Biometric Player Data