Abstract:Two kinds of design ideation process may be distinguished in terms of the problems addressed: (i) solution-focused, i.e. generating solutions to address a fixed problem specifying a desired output; and (ii) exploratory, i.e. considering different interpretations of an openended problem and generating associated solutions. Existing systematic analysis approaches focus on the former; the literature is lacking such an approach for the latter. In this paper, we provide a means to systematically analyse exploratory… Show more
“…In turn, it is not clear to what degree the novelty scores calculated based on the coding reflect the participants’ ideation processes versus the coders’ interpretations (Hay et al. 2019 b ). As noted in Section 3.2, we did not observe a relationship between concept novelty and brain activation during ideation, which seems counterintuitive given that a key goal of ideation is to generate new ideas (Benedek et al.…”
Section: Discussionmentioning
confidence: 99%
“…On average, the tasks were rated as moderately difficult, with a mean rating of 3.76 (SD = 1.08) for professionals and 3.80 (SD = 0.74) for students (Hay et al. 2019 b ).…”
Section: Methodsmentioning
confidence: 99%
“…Sketches were interpreted to determine whether they conveyed solutions to the open-ended and constrained problems presented during the study through a qualitative coding process described in detail in Hay et al. (2019 b ). Coding was completed using the NVivo software package (QSR International 2018).…”
Section: Methodsmentioning
confidence: 99%
“…Finally, to ensure that the ideation tasks were matched in difficulty, we asked designers to rate the perceived difficulty of each one on a scale from 1 (very easy) to 7 (very difficult). On average, the tasks were rated as moderately difficult, with a mean rating of 3.76 (SD = 1.08) for professionals and 3.80 (SD = 0.74) for students (Hay et al 2019b).…”
Section: Design Tasksmentioning
confidence: 99%
“…Whilst there are questions regarding how reflective these sketches are of the ideas actually generated during the tasks (discussed in Section 4), they at least provide an indication in a context where it is difficult to gather more conventional evidence. Sketches were interpreted to determine whether they conveyed solutions to the open-ended and constrained problems presented during the study through a qualitative coding process described in detail in Hay et al (2019b). Coding was completed using the NVivo software package (QSR International 2018).…”
In product design engineering (PDE), ideation involves the generation of technical behaviours and physical structures to address specific functional requirements. This differs from generic creative ideation tasks, which emphasise functional and technical considerations less. To advance knowledge about the neural basis of PDE ideation, we present the first fMRI study on professional product design engineers practising in industry. We aimed to explore brain activation during ideation, and compare activation in open-ended and constrained tasks. Imagery manipulation tasks were contrasted with ideation tasks in a sample of 29 PDE professionals. The key findings were: (1) PDE ideation is associated with greater activity in left cingulate gyrus; (2) there were no significant differences between open-ended and constrained tasks; and (3) a preliminary association with activity in the right superior temporal gyrus was also observed. The results are consistent with existing fMRI work on generic creative ideation, suggesting that PDE ideation may share a number of similarities at the neural level. Future work includes: functional connectivity analysis of open-ended and constrained ideation to further investigate potential differences; investigating the effects of aspects of design expertise/training on processing; and the use of novelty measures directly linked to the designer’s internal processing in fMRI analysis.
“…In turn, it is not clear to what degree the novelty scores calculated based on the coding reflect the participants’ ideation processes versus the coders’ interpretations (Hay et al. 2019 b ). As noted in Section 3.2, we did not observe a relationship between concept novelty and brain activation during ideation, which seems counterintuitive given that a key goal of ideation is to generate new ideas (Benedek et al.…”
Section: Discussionmentioning
confidence: 99%
“…On average, the tasks were rated as moderately difficult, with a mean rating of 3.76 (SD = 1.08) for professionals and 3.80 (SD = 0.74) for students (Hay et al. 2019 b ).…”
Section: Methodsmentioning
confidence: 99%
“…Sketches were interpreted to determine whether they conveyed solutions to the open-ended and constrained problems presented during the study through a qualitative coding process described in detail in Hay et al. (2019 b ). Coding was completed using the NVivo software package (QSR International 2018).…”
Section: Methodsmentioning
confidence: 99%
“…Finally, to ensure that the ideation tasks were matched in difficulty, we asked designers to rate the perceived difficulty of each one on a scale from 1 (very easy) to 7 (very difficult). On average, the tasks were rated as moderately difficult, with a mean rating of 3.76 (SD = 1.08) for professionals and 3.80 (SD = 0.74) for students (Hay et al 2019b).…”
Section: Design Tasksmentioning
confidence: 99%
“…Whilst there are questions regarding how reflective these sketches are of the ideas actually generated during the tasks (discussed in Section 4), they at least provide an indication in a context where it is difficult to gather more conventional evidence. Sketches were interpreted to determine whether they conveyed solutions to the open-ended and constrained problems presented during the study through a qualitative coding process described in detail in Hay et al (2019b). Coding was completed using the NVivo software package (QSR International 2018).…”
In product design engineering (PDE), ideation involves the generation of technical behaviours and physical structures to address specific functional requirements. This differs from generic creative ideation tasks, which emphasise functional and technical considerations less. To advance knowledge about the neural basis of PDE ideation, we present the first fMRI study on professional product design engineers practising in industry. We aimed to explore brain activation during ideation, and compare activation in open-ended and constrained tasks. Imagery manipulation tasks were contrasted with ideation tasks in a sample of 29 PDE professionals. The key findings were: (1) PDE ideation is associated with greater activity in left cingulate gyrus; (2) there were no significant differences between open-ended and constrained tasks; and (3) a preliminary association with activity in the right superior temporal gyrus was also observed. The results are consistent with existing fMRI work on generic creative ideation, suggesting that PDE ideation may share a number of similarities at the neural level. Future work includes: functional connectivity analysis of open-ended and constrained ideation to further investigate potential differences; investigating the effects of aspects of design expertise/training on processing; and the use of novelty measures directly linked to the designer’s internal processing in fMRI analysis.
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