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Regressive Imagery in Creative Problem-Solving: Comparing Verbal Protocols of Expert and Novice Visual Artists and Computer Programmers
被引:11
|作者:
Kozbelt, Aaron
[1
,2
]
Dexter, Scott
[1
,2
]
Dolese, Melissa
[1
,2
]
Meredith, Daniel
[1
,2
]
Ostrofsky, Justin
[3
]
机构:
[1] CUNY Brooklyn Coll, Brooklyn, NY 11210 USA
[2] CUNY, Grad Ctr, New York, NY USA
[3] Richard Stockton Coll New Jersey, Galloway Township, NJ USA
来源:
基金:
美国国家科学基金会;
关键词:
creativity;
problem-solving;
Regressive Imagery Dictionary;
verbal protocol analysis;
visual artists;
computer programming;
expertise;
DYNAMIC EVALUATION;
PRODUCTIVITY;
DRAWINGS;
INSIGHT;
MODEL;
D O I:
10.1002/jocb.64
中图分类号:
G44 [教育心理学];
学科分类号:
0402 ;
040202 ;
摘要:
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.
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页码:263 / 278
页数:16
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