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

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posted on 2023-06-09, 18:11 authored by Peter ChengPeter Cheng
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.

History

Publication status

  • Published

File Version

  • Accepted version

Event name

Human-Like Computing Machine Intelligence Workshop (MI21-HLC)

Event location

Windsor, UK

Event type

workshop

Event date

30th June to 3 July, 2019

Department affiliated with

  • Informatics Publications

Research groups affiliated with

  • Creative Technology Publications

Notes

This work was supported by EPSRC grant EP/R030642

Full text available

  • Yes

Peer reviewed?

  • No

Legacy Posted Date

2019-06-25

First Open Access (FOA) Date

2019-07-15

First Compliant Deposit (FCD) Date

2019-06-24

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    Keywords

    Human-machine communicationuser modelsknowledge structurechunking theorymicro-behavioural signalspause analysis

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