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Communications of the ACM
Techniques for addressing fundamental privacy and disruption tradeoffs in awareness support systems
CSCW '96 Proceedings of the 1996 ACM conference on Computer supported cooperative work
The effects of filtered video on awareness and privacy
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
Labeling images with a computer game
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Aware Technologies for Aging in Place: Understanding User Needs and Attitudes
IEEE Pervasive Computing
Activity Recognition and Abnormality Detection with the Switching Hidden Semi-Markov Model
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Fine-Grained Activity Recognition by Aggregating Abstract Object Usage
ISWC '05 Proceedings of the Ninth IEEE International Symposium on Wearable Computers
Multi-Camera Human Activity Monitoring
Journal of Intelligent and Robotic Systems
Sensor-based understanding of daily life via large-scale use of common sense
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
A long-term evaluation of sensing modalities for activity recognition
UbiComp '07 Proceedings of the 9th international conference on Ubiquitous computing
Soylent: a word processor with a crowd inside
UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology
VizWiz: nearly real-time answers to visual questions
UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology
Utility of human-computer interactions: toward a science of preference measurement
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the 13th international conference on Ubiquitous computing
Real-time crowd control of existing interfaces
Proceedings of the 24th annual ACM symposium on User interface software and technology
Crowds in two seconds: enabling realtime crowd-powered interfaces
Proceedings of the 24th annual ACM symposium on User interface software and technology
The design of human-powered access technology
The proceedings of the 13th international ACM SIGACCESS conference on Computers and accessibility
Simultaneous tracking and activity recognition (STAR) using many anonymous, binary sensors
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Real-time captioning by groups of non-experts
Proceedings of the 25th annual ACM symposium on User interface software and technology
Online quality control for real-time crowd captioning
Proceedings of the 14th international ACM SIGACCESS conference on Computers and accessibility
Modeling discussion topics in interactions with a tablet reading primer
Proceedings of the 2013 international conference on Intelligent user interfaces
Warping time for more effective real-time crowdsourcing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Finding action dependencies using the crowd
Proceedings of the seventh international conference on Knowledge capture
Chorus: a crowd-powered conversational assistant
Proceedings of the 26th annual ACM symposium on User interface software and technology
Answering visual questions with conversational crowd assistants
Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility
Motivating contribution in a participatory sensing system via quid-pro-quo
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
Remote shopping advice: enhancing in-store shopping with social technologies
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
Information extraction and manipulation threats in crowd-powered systems
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
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Systems that automatically recognize human activities offer the potential of timely, task-relevant information and support. For example, prompting systems can help keep people with cognitive disabilities on track and surveillance systems can warn of activities of concern. Current automatic systems are difficult to deploy because they cannot identify novel activities, and, instead, must be trained in advance to recognize important activities. Identifying and labeling these events is time consuming and thus not suitable for real-time support of already-deployed activity recognition systems. 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. To enable the crowd to keep up with real-time activities, Legion:AR intelligently merges input from multiple workers into a single ordered label set. We validate Legion:AR across multiple domains and crowds and discuss features that allow appropriate privacy and accuracy tradeoffs.