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Human-computer collaborative systems provide a good compromise to address these challenges [14].
The proposed human-computer collaborative workflow proved crucial in the various stages of the field study.
We also give quantitative results on the accuracy of our human-computer collaborative video processing approach and compare it against a fully automated solution.
Furthermore, a human-computer collaborative workflow can potentially facilitate high-level qualitative analysis of the data by leveraging human judgment and interpretation.
In this paper, we present a human-computer collaborative workflow for the acquisition and analysis of insect behavior from field-recorded videos.
The four stages comprise an end-to-end human-computer collaborative toolset to acquire and make sense of insect behavior in field-recorded videos.
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The ways of human-computer cooperation are human-computer interaction and human-computer collaboration.
Applying MDP approaches for estimating outcome of interaction in collaborative human-computer settings.
Collaborative human-computer approaches have been proposed to improve accuracy in situations that are difficult to resolve by the computer alone [14].
Marquez, J.J., Cummings, M. L., Roy, N., Kunda, M., Newman, D.J., Collaborative Human-Computer Decision Support for Planetary Surface Traversal, presented at the AIAA InfoTech, Arlington, VA, Sept., 2005.
Cummings, M. L., Bruni, S., Collaborative Human-Computer Decision Making in Network Centric Warfare, TTCP HUM TP7 Workshop on Aerospace Human Factors Issues in Network-Centric Warfare, Salisbury, UK, July, 2005.
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