首页 | 本学科首页   官方微博 | 高级检索  
   检索      


Regressive Imagery in Creative Problem‐Solving: Comparing Verbal Protocols of Expert and Novice Visual Artists and Computer Programmers
Authors:Aaron Kozbelt  Scott Dexter  Melissa Dolese  Daniel Meredith  Justin Ostrofsky
Institution:1. Brooklyn College and the Graduate Center of the City University of New York;2. The Richard Stockton College of New Jersey
Abstract: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.
Keywords:creativity  problem‐solving  Regressive Imagery Dictionary  verbal protocol analysis  visual artists  computer programming  expertise
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号