Journal article
Analyzing cognitive processes of a product/service-system design session using protocol analysis
Artificial intelligence for engineering design, analysis and manufacturing, v 34(4), pp 515-530
01 Nov 2020
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Product/service systems (PSSs) are increasingly found in markets, and more resources are being invested in PSS design. Despite the substantial research into PSS design, the current literature exhibits an incomplete understanding of it as a cognitive activity. This article demonstrates that the methods used to analyze product designers’ cognitive behavior can be used to produce comparable and commensurable results when analyzing PSS designers. It also generates empirical grounding for the development of hypotheses based on a cognitive study of a PSS design session in a laboratory environment using protocol analysis. This study is a part of a larger project comparing PSS design with product design. The results, which are based on the function–behavior–structure coding scheme, show that PSS design, when coded using this scheme, can be quantitatively compared with product design. Five hypotheses were developed based on the results of the study of this design session concerning where and how designers expend their cognitive design effort. These hypotheses can be used to design experiments that test them and provide the grounding for a fuller understanding of PSS design.
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Details
- Title
- Analyzing cognitive processes of a product/service-system design session using protocol analysis
- Creators
- Tomohiko Sakao - Linköping UniversityJohn Gero - University of North Carolina at CharlotteHajime Mizuyama - Aoyama Gakuin University
- Publication Details
- Artificial intelligence for engineering design, analysis and manufacturing, v 34(4), pp 515-530
- Publisher
- Cambridge University Press
- Number of pages
- 16
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Psychological and Brain Sciences (Psychology)
- Web of Science ID
- WOS:000600368800006
- Scopus ID
- 2-s2.0-85092233220
- Other Identifier
- 991022157488104721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Interdisciplinary Applications
- Engineering, Manufacturing
- Engineering, Multidisciplinary