The creative cliff illusion
Author(s) -
Brian J. Lucas,
Loran F. Nordgren
Publication year - 2020
Publication title -
proceedings of the national academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.2005620117
Subject(s) - creativity , ideation , psychology , session (web analytics) , illusion , value (mathematics) , social psychology , creativity technique , cognitive psychology , cognitive science , computer science , world wide web , machine learning
Across eight studies, we tested whether people understand the time course of their own creativity. Prior literature finds that creativity tends to improve across an ideation session. Here we compared people's beliefs against their actual creative performance. Consistent with prior research, we found that people's creativity, on aggregate, remained constant or improved across an ideation session. However, people's beliefs did not match this reality. We consistently found that people expected their creativity to decline over time. We refer to this misprediction as the creative cliff illusion. Study 1 found initial evidence of this effect across an ideation task. We found further evidence in a sample with high domain-relevant knowledge (study 2), when creativity judgments were elicited retrospectively (study 3), and across a multiday study (study 5). We theorized the effect occurs because people mistakenly associate creativity (the novelty and usefulness of an idea) with idea production (the ability to generate an idea). Study 4 found evidence consistent with this mechanism. The creative cliff illusion was attenuated among those with high levels of everyday creative experience (study 6) and after a knowledge intervention that increased awareness of the effect (study 7). Demonstrating the impact of creativity beliefs on downstream performance, study 8 found that declining creativity beliefs negatively influenced task persistence and creative performance, suggesting that people underinvest in ideation. This research contributes to work on prediction in the creative domain and demonstrates the importance of understanding creativity beliefs for predicting creative performance.
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