Optimising content clarity for human-machine systems

George Weir; N.K. Anagnostou

Optimising content clarity for human-machine systems

George Weir, N.K. Anagnostou

Computer And Information Sciences

Research output: Contribution to conference › Paper

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Abstract

This paper details issues associated with the production of clearly expressed and comprehensible technical documentation for domestic appliances and human-machine systems, and describes an approach to optimising the clarity of such content. The aim is to develop support for authors in checking the likely comprehensibility of chosen forms of expression by reference to an external measure of 'likely familiarity'. Our DOcumentation Support Tool (DoST) will assist in identifying words and expression forms that are likely to be unfamiliar to end users.

Original language	English
Number of pages	7
Publication status	Published - 6 Sept 2007
Event	Proceedings of the 10th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems - Seoul, Korea Duration: 4 Sept 2007 → 6 Sept 2007

Conference

Conference	Proceedings of the 10th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems
City	Seoul, Korea
Period	4/09/07 → 6/09/07

Keywords

technical documentation writing appliacnes

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title = "Optimising content clarity for human-machine systems",

abstract = "This paper details issues associated with the production of clearly expressed and comprehensible technical documentation for domestic appliances and human-machine systems, and describes an approach to optimising the clarity of such content. The aim is to develop support for authors in checking the likely comprehensibility of chosen forms of expression by reference to an external measure of 'likely familiarity'. Our DOcumentation Support Tool (DoST) will assist in identifying words and expression forms that are likely to be unfamiliar to end users.",

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AU - Anagnostou, N.K.

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AB - This paper details issues associated with the production of clearly expressed and comprehensible technical documentation for domestic appliances and human-machine systems, and describes an approach to optimising the clarity of such content. The aim is to develop support for authors in checking the likely comprehensibility of chosen forms of expression by reference to an external measure of 'likely familiarity'. Our DOcumentation Support Tool (DoST) will assist in identifying words and expression forms that are likely to be unfamiliar to end users.

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M3 - Paper

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Y2 - 4 September 2007 through 6 September 2007

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Optimising content clarity for human-machine systems

Abstract

Conference

Keywords

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Cite this