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Realising the affective potential of patents: a new model of database interpretation for user-centred design

Wodehouse, Andrew; Vasantha, Gokula; Corney, Jonathan; Jagadeesan, Ananda; MacLachlan, Ross

Authors

Andrew Wodehouse

Jonathan Corney

Ananda Jagadeesan

Ross MacLachlan



Abstract

This research sets out a new interpretation of the patent database using affective design parameters. While this resource contains a vast quantity of technical information, its extraction and use in practical design settings is extremely challenging. Until now, all filing and subsequent landscaping or profiling of patents has been based on their technical characteristics. We set out an alternative approach that utilises crowdsourcing to first summarise patents and then applies text analysis tools to assess the summarising text in relation to three affective parameters: appearance, ease of use, and semantics. The results been used to create novel patent clusters that provide an alternative perspective on relevant technical data, and support user-centric engineering design. The workflow and tasks to effectively interface with the crowd are outlined, and the process for harvesting and processing responses using a combination of manual and computational analysis is reviewed. The process creates sets of descriptive words for each patent which differ significantly from those created using only functional requirements, and support a new paradigm for the use of big data in engineering design – one that utilises desirable affective qualities as the basis for scouring and presenting relevant functional patent information for concept generation and development.

Citation

Wodehouse, A., Vasantha, G., Corney, J., Jagadeesan, A., & MacLachlan, R. (2018). Realising the affective potential of patents: a new model of database interpretation for user-centred design. Journal of Engineering Design, 29(8-9), 484-511. https://doi.org/10.1080/09544828.2018.1448056

Journal Article Type Article
Acceptance Date Feb 27, 2018
Online Publication Date Mar 8, 2018
Publication Date 2018
Deposit Date Dec 11, 2018
Publicly Available Date Dec 13, 2018
Journal Journal of Engineering Design
Print ISSN 0954-4828
Electronic ISSN 1466-1837
Publisher Taylor & Francis
Peer Reviewed Peer Reviewed
Volume 29
Issue 8-9
Pages 484-511
DOI https://doi.org/10.1080/09544828.2018.1448056
Keywords Patents, crowdsourcing, affective design
Public URL http://researchrepository.napier.ac.uk/Output/1393581
Contract Date Dec 13, 2018

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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
© 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.









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