Vision Interfaces and Systems Laboratory
Computer Science and Engineering Department
Wright State University, USA
We present psycholinguistic phenomena that are detected by our analysis. The understanding of how such phenomena are detectable from video and audio signal, and the determination of the kinds of computable cues that support such analysis are the first steps toward the bridging the signal-sense gap in multi-modal interaction. Among these are cues for semantic segmentation and organization, cross- modal temporal integration, and the significance of 'hold tension release'.
We have assembled a strong interdisciplinary team comprising psycholinguistic, machine vision and signal processing researchers to address the holistic nature of discourse and language itself. This permits us to base our research squarely on the realities of human communication in spontaneous discourse across a wide range of pragmatic conditions. Technology is being developed that have significant impact on natural language discourse analysis, human- computer interaction systems, neuropathological studies (Parkinson's Disease and Left/Right Hemisphere Damage) and discourse and video databases. Another significant outcome of this research is to introduce computational and quantitative rigor to the psycholinguistic study of discourse production. This represents a model of collaborative research between the fields of engineering and cognitive science.
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Erstellt von: Anke Weinberger (2000-11-27). Wartung durch: Anke Weinberger (2000-11-27). |