AI News, Walter S. Lasecki artificial intelligence
Real-time crowd labeling for deployable activity recognition
Systems that automatically recognize human activities offer the potential of timely, task-relevant information and support.
In this paper, we introduce Legion:AR, a system that provides robust, deployable activity recognition by supplementing existing recognition systems with on-demand, real-time activity identification using input from the crowd.
Legion:AR uses activity labels collected from crowd workers to train an automatic activity recognition system online to automatically recognize future occurrences.
School in Logic &
ACM Conference on Fairness, Accountability, and Transparency (FAT*) 2020 Sociotechnical Considerations for Accessible Visualization Design Alan
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ACM Symposium on User Interface Software and Technology (UIST) 2018 Bolt: Instantaneous Crowdsourcing via Just-in-Time Training Alan
ACM Conference on Human Factors in Computing Systems (CHI) 2018 Graduate Research Fellowship 2019- National
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