Creativity on tap? The effect of creativity anxiety under evaluative pressure
Open accessAbstract
Creative achievement is critical for education, work and wider society.Creativity anxietya distinct, generalizable form of anxiety that emerges at the prospect of having to be creative -is a newly established trait that varies between individuals and has been linked to lower creative achievement.This study tested the interaction between trait creativity anxiety and creative evaluative pressure on a well-established objective measure linked to creative ability -semantic distance.Participants performed a word association task under two instruction conditions designed to manipulate creative evaluative pressure.Participants were first instructed to respond with the first word that came to mind, before repeating the task with the added information that the task was measuring creativity.The results revealed that creative pressure increased semantic distance between cues and responses, similar to the established "be creative" effect.Critically, this "be creative" effect was reduced among participants with higher levels of creativity anxiety.The findings are hence consistent with the proposal that creativity anxiety hinders people's ability to think creatively on demand.These findings will guide further research on creativity anxiety and inform intervention strategies to unlock people's creative potential.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In human collaboration, individuals often suppress out-of-the-box ideas due to concerns about criticism.
“in human collaboration, individuals often suppress out-of-the-box ideas due to concerns about criticism”
From From humans to AI: understanding why AI is perceived as the preferred co-creation partner (2025) · cites this paper as Bullock Muir et al., 2024
The Discussion (page unavailable) says that people with higher creativity anxiety may experience evaluation as a threat, reducing their ability to think creatively under pressure. But the study used an individual word-association task; it does not establish that people in collaborations suppress ideas because they fear criticism. (LLM, conf=0.86)
Experimental — accuracy not yet measuredWhen interacting with AI, weaker evaluation apprehension makes people more willing to propose unconventional ideas, thereby amplifying perceived novelty.
“when interacting with AI, evaluation apprehension (i.e., the feeling of being judged) is comparatively weaker, making people more willing to propose unconventional ideas and thereby further amplifying perceived novelty (Bullock Muir et al., 2024).”
From From humans to AI: understanding why AI is perceived as the preferred co-creation partner (2025) · cites this paper as Bullock Muir et al., 2024
The Discussion (page unavailable) reports that participants with lower creativity anxiety showed a greater increase in semantic distance when told their creativity was being assessed. That supports a limited link between anxiety about creativity and creative responses, but the study did not examine AI interactions, establish that weaker evaluation apprehension increased willingness to propose unconventional ideas, or measure perceived novelty. It also found that evaluative pressure generally increased semantic distance, rather than showing a benefit from reduced pressure. (LLM, conf=0.87)
Experimental — accuracy not yet measuredMany respondents reported that co-creating with AI avoids the emotional volatility, conflicts of interest, and communication barriers common in human collaboration.
“Many respondents reported that co-creating with AI avoids the emotional volatility, conflicts of interest, and communication barriers common in human collaboration (Bullock Muir et al., 2024).”
From From humans to AI: understanding why AI is perceived as the preferred co-creation partner (2025) · cites this paper as Bullock Muir et al., 2024
The Methods section describes a word-association task, and the Discussion addresses creativity anxiety under evaluative pressure. Searches for AI co-creation and human collaboration found no passage reporting respondents’ views about emotional volatility, conflicts of interest, or communication barriers. The Conflict section is an author disclosure, not evidence about collaboration. (LLM, conf=0.76)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,706 · see citing works
Fitting Linear Mixed-Effects Models Using <b>lme4</b>
Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015) · Journal of Statistical Software · doi:10.18637/jss.v067.i01 · Cited by 86,835 · see citing works
performance: An R Package for Assessment, Comparison and Testing of Statistical Models
Lüdecke, D., Ben-Shachar, M., Patil, I., Waggoner, P., & Makowski, D. (2021) · Journal of Open Source Software · doi:10.21105/joss.03139 · Cited by 5,836 · see citing works
The associative basis of the creative process.
Mednick, S. (1962) · Psychological Review · doi:10.1037/h0048850 · Cited by 4,140 · see citing works
Motivating Creativity in Organizations: On Doing What You Love and Loving What You Do
Amabile, T. M. (1997) · California Management Review · doi:10.2307/41165921 · Cited by 2,243 · see citing works
Baas, M., Dreu, C. K. W. D., & Nijstad, B. A. (2008) · Psychological Bulletin · doi:10.1037/a0012815 · Cited by 1,697 · see citing works
Creativity: Yesterday, today and tomorrow
GUILFORD, J. P. (1967) · The Journal of Creative Behavior · doi:10.1002/j.2162-6057.1967.tb00002.x · Cited by 1,008 · see citing works
Mathematics anxiety: what have we learned in 60 years?
Dowker, A., Sarkar, A., & Looi, C. Y. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00508 · Cited by 811 · see citing works
The biopsychosocial model of arousal regulation
Blascovich, J., & Tomaka, J. (1996) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(08)60235-x · Cited by 721 · see citing works
robustlmm : An R Package for Robust Estimation of Linear Mixed-Effects Models
Koller, M. (2016) · Journal of Statistical Software · doi:10.18637/jss.v075.i06 · Cited by 720 · see citing works
Math Anxiety: Past Research, Promising Interventions, and a New Interpretation Framework
Ramirez, G., Shaw, S. T., & Maloney, E. A. (2018) · Educational Psychologist · doi:10.1080/00461520.2018.1447384 · Cited by 657 · see citing works
Creativity and academic achievement: A meta-analysis
Gajda, A., Karwowski, M., & Beghetto, R. A. (2017) · Journal of Educational Psychology · doi:10.1037/edu0000133 · Cited by 515 · see citing works
Byron, K., Khazanchi, S., & Nazarian, D. (2010) · Journal of Applied Psychology · doi:10.1037/a0017868 · Cited by 491 · see citing works
The roles of associative and executive processes in creative cognition
Beaty, R. E., Silvia, P. J., Nusbaum, E. C., Jauk, E., & Benedek, M. (2014) · Memory & Cognition · doi:10.3758/s13421-014-0428-8 · Cited by 448 · see citing works
Turning the knots in your stomach into bows: reappraising arousal improves performance on the GRE
Jamieson, J. P., Mendes, W. B., Blackstock, E., & Schmader, T. (2010) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2009.08.015 · Cited by 376 · cited 1× · see citing works
“The extensive research around math anxiety has enabled the development of interventions to help individuals perform at their full potential in math-related tasks (Jamieson, Mendes, Blackstock, & Schmader, 2010; Park, Ramirez, & Beilock, 2014).”
The relationship between math anxiety and math performance: a meta-analytic investigation
Zhang, J., Zhao, N., & Kong, Q. P. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.01613 · Cited by 347 · see citing works
Automating creativity assessment with SemDis: An open platform for computing semantic distance
Beaty, R. E., & Johnson, D. R. (2021) · Behavior Research Methods · doi:10.3758/s13428-020-01453-w · Cited by 341 · see citing works
Predicting athletic performance from cardiovascular indexes of challenge and threat
Blascovich, J., Seery, M. D., Mugridge, C. A., Norris, R. K., & Max Weisbuch, A. (2004) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2003.10.007 · Cited by 296 · see citing works
Approaches to Measuring Creativity: A Systematic Literature Review
Said‐Metwaly, S., Noortgate, W. V. D., & Kyndt, E. (2017) · Creativity Theories – Research – Applications · doi:10.1515/ctra-2017-0013 · Cited by 258 · see citing works
The role of expressive writing in math anxiety.
Park, D., Ramirez, G., & Beilock, S. L. (2014) · Journal of Experimental Psychology Applied · doi:10.1037/xap0000013 · Cited by 249 · see citing works
(2017) · UNESCO eBooks · doi:10.54675/qyhk2407 · Cited by 246 · see citing works
Anxiety Disorders Among Women: A Female Lifespan Approach
Hantsoo, L., & Epperson, C. N. (2017) · Focus · doi:10.1176/appi.focus.20160042 · Cited by 183 · cited 1× · see citing works
“Notably, Daker, Cortes, Lyons, and Green (2020) observed that creativity anxiety is more common in women than men – as is the case for generalized anxiety disorder (Hantsoo & Epperson, 2017).”
LSAfun - An R package for computations based on Latent Semantic Analysis
Günther, F., Dudschig, C., & Kaup, B. (2014) · Behavior Research Methods · doi:10.3758/s13428-014-0529-0 · Cited by 174 · see citing works
Anderson, R. C., Bousselot, T., Katz-Buoincontro, J., & Todd, J. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.614774 · Cited by 169 · see citing works
What can quantitative measures of semantic distance tell us about creativity?
Kenett, Y. N. (2018) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2018.08.010 · Cited by 164 · see citing works
Thin slices of creativity: Using single-word utterances to assess creative cognition
Prabhakaran, R., Green, A. E., & Gray, J. R. (2013) · Behavior Research Methods · doi:10.3758/s13428-013-0401-7 · Cited by 159 · see citing works
Samuel, T. S., & Warner, J. (2021) · Community College Journal of Research and Practice · doi:10.1080/10668926.2019.1666063 · Cited by 159 · see citing works
How am I a creative teacher? Beliefs, values, and affect for integrating creativity in the classroom
Anderson, R., Katz‐Buonincontro, J., Bousselot, T., Mattson, D., Beard, N., Land, J., & Livie, M. (2021) · Teaching and Teacher Education · doi:10.1016/j.tate.2021.103583 · Cited by 139 · see citing works
Brunyé, T. T., Mahoney, C. R., Giles, G. E., Rapp, D. N., Taylor, H. A., & Kanarek, R. B. (2013) · Learning and Individual Differences · doi:10.1016/j.lindif.2013.06.008 · Cited by 133 · see citing works
Genes for Psychosis and Creativity
Kéri, S. (2009) · Psychological Science · doi:10.1111/j.1467-9280.2009.02398.x · Cited by 130 · see citing works
Semantic distance: An automated measure of creativity that is novel and appropriate.
Heinen, D. J. P., & Johnson, D. R. (2017) · Psychology of Aesthetics Creativity and the Arts · doi:10.1037/aca0000125 · Cited by 101 · see citing works
Daker, R. J., Cortes, R. A., Lyons, I. M., & Green, A. E. (2019) · Journal of Experimental Psychology General · doi:10.1037/xge0000630 · Cited by 101 · see citing works
Measuring creativity change and development.
Barbot, B. (2019) · Psychology of Aesthetics Creativity and the Arts · doi:10.1037/aca0000232 · Cited by 90 · see citing works
How adolescents develop and implement their ideas? On self-regulation of creative action
Zielińska, A., Lebuda, I., Ivčević, Z., & Karwowski, M. (2022) · Thinking Skills and Creativity · doi:10.1016/j.tsc.2022.100998 · Cited by 89 · see citing works
Anderson, R., & Haney, M. (2020) · Psychology of Aesthetics Creativity and the Arts · doi:10.1037/aca0000324 · Cited by 85 · see citing works
Liu, F., Li, P., Taris, T. W., & Peeters, M. C. W. (2022) · Human Resource Management · doi:10.1002/hrm.22116 · Cited by 84 · see citing works
Chen, Q., Beaty, R. E., Wei, D., Yang, J., Sun, J., Liu, W., Yang, W., Zhang, Q., & Qiu, J. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw353 · Cited by 79 · see citing works
Connectome-Based Predictive Modeling of Creativity Anxiety
Ren, Z., Daker, R. J., Shi, L., Sun, J., Beaty, R. E., Wu, X., Chen, Q., Yang, W., Lyons, I. M., Green, A. E., et al. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117469 · Cited by 72 · see citing works
The neglect of idea diversity in creative idea generation and evaluation.
Johnson, D. R., Cuthbert, A. S., & Tynan, M. E. (2019) · Psychology of Aesthetics Creativity and the Arts · doi:10.1037/aca0000235 · Cited by 69 · see citing works
Fitzpatrick, T., Playfoot, D. R., Alison Wray, A., & Wright, M. J. (2013) · Applied Linguistics · doi:10.1093/applin/amt020 · Cited by 66 · see citing works
Scope of semantic activation and innovative thinking in college students with ADHD
White, H. A., & Shah, P. (2016) · Creativity Research Journal · doi:10.1080/10400419.2016.1195655 · Cited by 63 · cited 2× · see citing works
“In the present study, a WAT closely based on that used by White and Shah (2016) was completed under two conditions designed to produce a subtle manipulation of evaluative creative pressure.”
SIMONTON, D. K. (1998) · The Journal of Creative Behavior · doi:10.1002/j.2162-6057.1998.tb00812.x · Cited by 59 · see citing works
An Investigation of The Relation Between Creativity and Five Factors of Personality In Students
Hoseinifar, J., Siedkalan, M. M., Zirak, S. R., Nowrozi, M., Shaker, A., Meamar, E., & Ghaderi, E. (2011) · Procedia - Social and Behavioral Sciences · doi:10.1016/j.sbspro.2011.10.394 · Cited by 48 · see citing works
Automatic activation of categorical and abstract analogical relations in analogical reasoning
Green, A. E., Fugelsang, J. A., & Dunbar, K. N. (2006) · Memory & Cognition · doi:10.3758/bf03195906 · Cited by 47 · see citing works
Enhancing employee creativity: Effects of choice, rewards and personality.
Zhou, J., Oldham, G. R., Chuang, A., & Hsu, R. S. (2021) · Journal of Applied Psychology · doi:10.1037/apl0000900 · Cited by 46 · see citing works
The effects of anxiety on intellectual performance: When and why are they found?
Matthews, G. (1986) · Journal of Research in Personality · doi:10.1016/0092-6566(86)90121-2 · Cited by 33 · see citing works
Nudging individuals’ creativity using social labeling
Agogué, M., & Parguel, B. (2020) · PLoS ONE · doi:10.1371/journal.pone.0228961 · Cited by 13 · see citing works
Reducing maths-anxiety: Results from an online anxiety survey
Uusimaki, L. S., & Kidman, G. (2004) · Faculty of Education · Cited by 12 · see citing works
Shimizu, D., Yomogida, I., Shi-jun, W., & Okada, T. (2021) · Creativity Theories – Research – Applications · doi:10.2478/ctra-2021-0007 · Cited by 7 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Deerwester, S., Dumais, S. T., Furnas, G. W., Landauer, T. K., & Harshman, R. A. (1990). Indexing by latent semantic analysis. Journal of the American Society for Information Science, 41(6), 391-407. doi:10.1002/(SICI)1097-4571 (199009)41:6<391:AID-ASI1>3.0.CO;2-9 · DOI
Cited by
Sorted by citations
From humans to AI: understanding why AI is perceived as the preferred co-creation partner
Liu, Y., Yang, Y., & Xu, H. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1695532 · Cited by 10 · see citing works
Chen, S., & Zhao, Y. (2025) · Kybernetes · doi:10.1108/k-08-2024-2105 · Cited by 11 · see citing works
Prokofieva, V., Fenouillet, F., & Romero, M. (2024) · Frontiers in Education · doi:10.3389/feduc.2024.1440248 · Cited by 2 · see citing works
Adaptation and Validation of the Creativity Anxiety Scale in the Turkish Context
Erbay, O., İncikabı, S., Aliustaoğlu, F., & İncikabı, L. (2025) · Social Scientific Centered Issues · doi:10.71249/ssci.1793460 · Cited by 1 · see citing works
Haime, Z., Carney, C., Linton, M.-J., Bould, H., & Biddle, L. (2025) · medRxiv · doi:10.1101/2025.03.06.25323541
Haime, Z., Carney, C., Linton, M.-J., Bould, H., & Biddle, L. (2025) · Journal of Participatory Medicine · doi:10.2196/74258
- Authors
- Bullock Muir, A., Tribe, B., & Forster, S.
- Affiliations
- University of Sussex
- University of Sussex (GB)
- Corresponding author
- Forster, S.
- ORCID
- Forster, S.
- Venue
- Creativity Research Journal
- Publisher
- Informa UK Limited
- Published
- 2024-03-26
- Volume
- 37
- Issue
- 4
- Pages
- 654-663
- ISSN
- 1040-0419 (ISSN-L)
- 1532-6934
- OpenAlex
- W4393182489
- Cited by
- 6
- References
- 49
- Citations by year
- 2025: 5 · 2024: 1
- FWCI
- 2.47
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Creativity Research Journal (publishedVersion, cc-by)
- Figshare (submittedVersion, cc-by)
- Funders
- Economic and Social Research Council (ES/W007320/1)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Creativity in Education and Neuroscience
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychological and Educational Research Studies
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Keywords
- semantic distance, word association task, creative achievement, trait anxiety, creative potential
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review