Cognitive function analysis for human-centered automation of safety-critical systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Bayesian Analysis of Online Newspaper Log Data
SAINT-W '03 Proceedings of the 2003 Symposium on Applications and the Internet Workshops (SAINT'03 Workshops)
Unifying collaborative and content-based filtering
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Time-Variant Distributed Agent Matching Applications
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Beyond Automation: Hybrid Human-Computer Decision Support Systems in Hospitals
EASE '08 Proceedings of the Fifth IEEE Workshop on Engineering of Autonomic and Autonomous Systems
Context-aware notification for mobile police officers
EPCE'07 Proceedings of the 7th international conference on Engineering psychology and cognitive ergonomics
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
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This paper presents an ontology and a filtering algorithm used in an agent-based system to support communication in case of incidents in the mobile human surveillance domain. In that domain reaching the right people as soon as possible is of the essence when incidents occur. The main goal of our efforts is to significantly reduce the response time in case of incidents by proposing and setting up the communication to the right people. Experimental results show that this can reduce the response time by more than 50%, e.g., from 40 to 20 minutes. To continuously improve the accuracy of the proposed communications, the agent-based system uses feedback mechanisms. An implementation of this system, ASK-ASSIST, has been deployed at a mobile human surveillance company.