2013
DOI: 10.1504/jdr.2013.057761
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The in-depth cognitive levels of imagination of artisans and designers

Abstract: This paper investigated the in-depth cognitive levels of artisans (craft artisans) and designers (design trainers) as they observed design problems (in the early stage of idea generation) during design training. A concept network method based on the associative concept dictionary was employed to extract the verbalised thoughts of four artisans and four designers. We then identified semantic relationships based on a factor analysis. We discovered that, in contrast to designers, artisans tended to activate lower… Show more

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Cited by 10 publications
(12 citation statements)
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“…The third method identifies in-depth cognitive and thinking types based on interviews with makers regarding the works they produce in FabLabs and their creative features (Georgiev et al, 2012;Junaidy & Nagai, 2013) or (user) interactions with the FabLab products (Gwilt et al, 2010).…”
Section: Third Method: In-depth Cognition and Thinkingmentioning
confidence: 99%
See 3 more Smart Citations
“…The third method identifies in-depth cognitive and thinking types based on interviews with makers regarding the works they produce in FabLabs and their creative features (Georgiev et al, 2012;Junaidy & Nagai, 2013) or (user) interactions with the FabLab products (Gwilt et al, 2010).…”
Section: Third Method: In-depth Cognition and Thinkingmentioning
confidence: 99%
“…The analysis of these cognitive processes and thinking types reveals fundamental differences between the designers and the craftsmen (Junaidy & Nagai, 2013). Moreover, it points to creativity barriers, new opportunities to address the adoption of new technologies and techniques, knowledge and skill acquisition in relation to new technologies and techniques, and education of such.…”
Section: Third Method: In-depth Cognition and Thinkingmentioning
confidence: 99%
See 2 more Smart Citations
“…Recently, Georgiev et al (2012) combined the think-aloud protocol with concept-network analysis to capture and analyse the in-depth impressions from or inner associative layer of humans' expressed impressions behind the surface impressions. Also, Junaidy and Nagai (2013) had conducted the similar method to capture in-depth cognitive levels related to intangible issues, such as users' affective preferences (i.e., scene and appeal).…”
Section: Methodsmentioning
confidence: 99%