ERIC Number: EJ1087737
Record Type: Journal
Publication Date: 2015-Dec
Pages: 16
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0022-0175
EISSN: N/A
Regressive Imagery in Creative Problem-Solving: Comparing Verbal Protocols of Expert and Novice Visual Artists and Computer Programmers
Kozbelt, Aaron; Dexter, Scott; Dolese, Melissa; Meredith, Daniel; Ostrofsky, Justin
Journal of Creative Behavior, v49 n4 p263-278 Dec 2015
We applied computer-based text analyses of regressive imagery to verbal protocols of individuals engaged in creative problem-solving in two domains: visual art (23 experts, 23 novices) and computer programming (14 experts, 14 novices). Percentages of words involving primary process and secondary process thought, plus emotion-related words, were tabulated. Visual art protocols were higher in primary process thought and emotion-related words; those from programming were higher in secondary process thought. Almost no main effects of expertise or interactions were found. Correlations between the measures (particularly those involving emotion-related words) also varied as a function of task. This pattern suggests cognitive processes vary considerably across different creative problem-solving tasks or domains, and that a more domain-specific approach to creative cognition may be advisable. Further implications for integrating and consolidating some extant lines of creativity research are discussed.
Descriptors: Creative Thinking, Problem Solving, Imagery, Protocol Analysis, Verbal Communication, Expertise, Novices, Visual Arts, Programming, Cognitive Processes, Emotional Response, Measures (Individuals)
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: National Science Foundation (NSF)
Authoring Institution: N/A
Grant or Contract Numbers: 0855861