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EXPLORING THE APPLICABILITY OF SEMANTIC METRICS FOR THE ANALYSIS OF DESIGN PROTOCOL DATA IN COLLABORATIVE DESIGN SESSIONS

Part of: Design Innovation, Information and Knowledge

Published online by Cambridge University Press:  11 June 2020

N. Becattini ,
G. V. Georgiev ,
Y. Barhoush  and
G. Cascini
N. Becattini*
Affiliation:
Politecnico di Milano, Italy
G. V. Georgiev
Affiliation:
University of Oulu, Finland
Y. Barhoush
Affiliation:
University of Oulu, Finland
G. Cascini
Affiliation:
Politecnico di Milano, Italy
*
*niccolo.becattini@polimi.it

Abstract

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The paper presents the application of non-specialized lexical database and semantic metrics on transcripts of co-design protocols. Three different and previously analyzed design protocols of co-creative sessions in the field of packaging design, carried out with different supporting tools, are used as test-bench to highlight the potential of this approach. The results show that metrics about the Information Content and the Similarity maps with sufficient precision the differences between ICT- and non-ICT-supported sessions so that it is possible to envision future refinement of the approach.

Keywords

text miningbig data analysiscollaborative designresearch methodologies and methodshuman behaviour
Type
Article
Information
Proceedings of the Design Society: DESIGN Conference , Volume 1 , May 2020 , pp. 1205 - 1214
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2020. Published by Cambridge University Press

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