Towards high-bandwidth computer-human understanding: cognitive chunking theory and microbehavioural signals

Cheng, Peter C-H (2019) Towards high-bandwidth computer-human understanding: cognitive chunking theory and microbehavioural signals. In: Human-Like Computing Machine Intelligence Workshop (MI21-HLC), 30th June to 3 July, 2019, Windsor, UK.

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Abstract

Chunking theory from cognitive science provides a basis for analyzing micro-behaviours in human performance in order to build models of individuals’ understanding of domain content that are richer than those available from current methods used for human-machine communication in AI systems.

Item Type: Conference or Workshop Item (Poster)
Additional Information: This work was supported by EPSRC grant EP/R030642
Keywords: Human-machine communication, user models, knowledge structure, chunking theory, micro-behavioural signals, pause analysis
Schools and Departments: School of Engineering and Informatics > Informatics
Research Centres and Groups: Creative Technology
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Depositing User: Lucy Arnold
Date Deposited: 25 Jun 2019 11:32
Last Modified: 24 Jul 2019 10:18
URI: http://sro.sussex.ac.uk/id/eprint/84534

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