- Main
Idea Generation and Goal-Derived Categories
Abstract
Semantic search and retrieval of information plays an im-portant role in creative idea generation. This study was de-signed to examine how semantic and temporal clustering varieswhen asking participants to generate ideas about uses for ob-jects compared with generating members of goal-derived cat-egories. Participants generated uses for three objects: brick,hammer, picture frame, and also generated members of thefollowing goal-derived categories: things to take in case of afire, things to sell at a garage sale, and ways to spend lotterywinnings. Using response-time analysis and semantic analysis,results illustrated that all six prompts generally led to exponen-tial cumulative response-time distributions. However, the pro-portion of temporally clustered responses, defined using theslope-difference algorithm, was higher for goal-derived cate-gory responses compared with object uses. Despite that, over-all pairwise semantic similarity was higher for object uses thanfor goal derived exemplars. The effect of prompt on pairwisesemantic similarity is likely the result of context-dependencyof exemplars from goal-derived categories. However, the cur-rent analysis contains a potential confound such that specialinstructions to give “common and uncommon” responses wereprovided only for the object-uses prompts. The confound islikely minimal, but future work is necessary to verify that theseresults would hold when the confound is removed.
Main Content
Enter the password to open this PDF file:
-
-
-
-
-
-
-
-
-
-
-
-
-
-