Prof. Juho Kim and Jean Y. Song, a doctoral student at the University of Michigan and a visiting researcher at KAIST School of Computing, won the 'Best Student Paper Award Honorable Mention' at the ACM 2018 Conference on Intelligent User Interface held in Tokyo. In the paper titled 'Two Tools are Better Than One: Tool Diversity as a Means of Improving Aggregate Crowd Performance', they present a new method to overcome the limitations of existing crowdsourcing techniques. By providing multiple tools with complementary properties to crowd workers, it improves the accuracy of the aggregated result by minimizing the errors coming from crowd workers using a single tool.

https://dl.acm.org/authorize?N43044