Towards Automatic Social Involvement Estimation

Conference Paper (2024)
Author(s)

Z. Li (TU Delft - Pattern Recognition and Bioinformatics, TU Delft - Intelligent Systems)

Research Group
Pattern Recognition and Bioinformatics
DOI related publication
https://doi.org/10.1145/3678957.3688615
More Info
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Publication Year
2024
Language
English
Research Group
Pattern Recognition and Bioinformatics
Pages (from-to)
612-616
ISBN (electronic)
9798400704628
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Abstract

Engaged in the group of Human Oriented Machine Intelligence(HOMI), my colleagues and I are working on the NEON project which focuses on social intention estimation. In particular, my job is to model and estimate social involvement, which is highly connected with the overall target. Studying social involvement will not only benefit our understanding of social interactions, but also provide crucial information for other potential applications. The work package of the research includes 1) build-up of a theoretical framework; 2) designing of the annotation framework; 3) collection of new dataset(s); 4) designing and training of the computer model.

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