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Becattini, N., Georgiev, G. V., Barhoush, Y., & Cascini, G. (2020). EXPLORING THE APPLICABILITY OF SEMANTIC METRICS FOR THE ANALYSIS OF DESIGN PROTOCOL DATA IN COLLABORATIVE DESIGN SESSIONS. Proceedings of the Design Society: DESIGN Conference, 1, 1205–1214. https://doi.org/10.1017/dsd.2020.141

Exploring the applicability of semantic metrics for the analysis of design protocol data in collaborative design sessions

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Author: Becattini, N.1; Georgiev, G. V.2; Barhoush, Y.2;
Organizations: 1Politecnico di Milano, Italy
2University of Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 0.8 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2020092475664
Language: English
Published: Cambridge University Press, 2020
Publish Date: 2020-09-24
Description:

Abstract

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.

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Series: Proceedings of the Design Society. DESIGN Conference
ISSN: 2633-7762
ISSN-E: 2633-7762
ISSN-L: 2633-7762
Pages: 1205 - 1214
DOI: 10.1017/dsd.2020.141
OADOI: https://oadoi.org/10.1017/dsd.2020.141
Host publication: Proceedings of the Design Society: DESIGN Conference. Part of innovation, information and knowledge
Host publication editor: Marjanović, D.
Štorga, M.
Škec, S.
Bojčetić, N.
Pavković, N.
Conference: DESIGN Conference
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
119 Other natural sciences
616 Other humanities
6132 Visual arts and design
222 Other engineering and technologies
Subjects:
big data analysis
collaborative design
human behaviour
research methodologies and methods
text mining
Article
Funding: The work reported in this paper is part of the SPARK project, funded by the European Union’s Horizon 2020 research and innovation programme (GA688417). This paper reflects only the authors’ views and the EU Commission is not responsible for any use that may be made of the information it contains. The authors would like to acknowledge the valuable support of all SPARK partners in this research activity. This research also has been partially financially supported by the Academy of Finland 6Genesis Flagship (grant 318927).
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
Copyright information: © The Authors 2020. Published by Cambridge University Press. 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.
  https://creativecommons.org/licenses/by-nc-nd/4.0/