Human-machine perceptual cooperation

Authors:
Francis K. H. Quek;Michael C. Petro
Affiliations:
Artificial Intelligence Laboratory, The University of Michigan, Ann Arbor, MI;Artificial Intelligence Laboratory, The University of Michigan, Ann Arbor, MI
Venue:
CHI '93 Proceedings of the INTERACT '93 and CHI '93 Conference on Human Factors in Computing Systems
Year:
1993

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Abstract

The Human-Machine Perceptual Cooperation (HMPC) paradigm combines a human operator's high level reasoning with machine perception to solve spatio-perceptual intensive problems. HMPC defines two channels of interaction: the focus of attention (FOA) by which the user directs the attention of machine perception, and context. As the user moves the FOA across a display via a pointing device, a smart cursor operates proactively on the data, highlighting objects which satisfy the current contest. The FOA permits foveal emphasis, enabling the user to vary motor precision with image clutter. HMPC provides for contexts at four levels of abstraction. This permits the efficiency of the system to degrade gracefully as data quality worsens. We describe a document analysis application to which HMPC is applied. In this project, a human operator works with a machine to convert scanned raster maps into vector format.