In brief

Openness to experience can support creative engagement by making exploration more appealing, but a broad tendency does not provide every domain's subject knowledge, practiced skills, or preferred material. Studies find some shared creativity across domains and some domain-specific patterns. They also disagree about which part of openness relates to which outcome. So, curiosity or imagination in one area and little activity in another do not establish a fixed level of creative potential. First compare what each activity asks you to explore and what experience you have had with it.

Why can one part of openness fit one creative domain better?

Openness to experience is a broad Big Five tendency involving interest in ideas, imagination, aesthetics, feelings, and new experiences. Some researchers separate it into aspects: Openness often refers to perceptual, imaginative, or aesthetic engagement, while Intellect describes enjoyment of abstract or semantic ideas. These are patterns of interest and engagement, not measures of artistic talent or intelligence. A person can be curious in more than one way, and a single broad score can blur those differences.

A four-sample study of 1,035 people found that Openness predicted creative achievement in the arts while Intellect predicted achievement in the sciences. The researchers also found that cognitive ability and divergent thinking, the ability to generate varied ideas, accounted for at least part of the Intellect-science association. This result offers a plausible comparison: imagining, noticing aesthetic qualities, or exploring feeling may fit some arts activities, while engaging with abstract ideas may fit some scientific work. It does not show that one facet causes a person to succeed in either area. [PubMed's record of the study](https://pubmed.ncbi.nlm.nih.gov/25487993/) reports predictive associations, not an experiment assigning people to traits or domains.

A study of 439 Chinese tenth graders found a different pattern: openness related to reported creative activities in music, visual arts, and creative writing, but not science or technology. These were adolescents reporting activities and accomplishments, not adults being assessed for capacity. The difference from the four-sample achievement study may reflect population, measures, or the distinction between doing an activity and accumulating recognized achievement. The result is a reason to avoid turning the arts-versus-science split into a rule about people. [The university repository abstract](https://oasis.library.unlv.edu/edpsych_fac_articles/44/) supports this narrower description of the adolescent sample.

For a practical comparison, ask what kind of exploration each activity invites. An interest in sound might draw someone toward composing or arranging; an interest in systems might draw someone toward testing how parts of a process interact. That is an interpretive example, not a prediction about any particular person. The useful question is not simply, “Am I creative?” but, “Which materials and questions do I return to, and what does this activity require me to learn?”

Sources: Openness to Experience and Intellect Differentially Predict Creative Achievement in the Arts and Sciences; Activities and accomplishments in various domains: Relationships with creative personality and creative motivation in adolescence; Opening up Openness to Experience: A Four-Factor Model and Relations to Creative Achievement in the Arts and Sciences

Is creativity one general capacity or several domain patterns?

The evidence supports a mixed answer. A 2024 meta-analysis combined 45 correlation matrices from 30 studies, totaling 31,136 participants, using the Kaufman Domains of Creativity Scale (K-DOCS), a self-report measure of creative activity across domains. Its results supported both a general creativity factor and a two-factor Arts-and-Sciences structure. Artistic and performance scores had the strongest cross-domain correlation in the analysis; everyday and scientific scores had the weakest. Shared variance means that people's reported creative activity can travel together across areas. The remaining domain pattern means it does not travel perfectly. The study did not test openness or establish that skills transfer between domains. [The publisher's abstract](https://onlinelibrary.wiley.com/doi/10.1002/jocb.641) supports the structure of those self-reported scores, not a universal creative ability.

A 2024 study of 300 university students offers a useful counterweight to a tidy trait map. It found that openness related to creative activities in literature, music, and arts and crafts, but Intellect did not significantly relate to any of its eight domains. The study's self-reported exploration of specific “creative spaces,” such as sound, image, story, and systems, predicted many domain activities and achievements beyond the other predictors. The authors explicitly noted that their results did not reproduce the earlier Intellect-science association. They also described their sample as university students with limited creative experience and called for work with more experienced populations. [The full study](https://onlinelibrary.wiley.com/doi/full/10.1002/jocb.1502) supports these particular associations and limits.

This contrast matters because the studies do not measure one identical thing. A creativity scale, reported activity, achievement, and performance on a short idea-generation task are different outcomes. A broad trait may relate to several of them without predicting each equally. In the newer study, specific content exploration competed with broad openness as a predictor; the researchers suggested this greater specificity may help explain why openness had fewer significant links. That is their proposed interpretation, not proof that content interest replaces personality.

The strongest conclusion is therefore neither “creativity is the same everywhere” nor “each domain requires a different kind of person.” There appears to be some broad exploratory disposition and some domain-specific fit. Knowledge, practice, tools, and chances to work on a domain are sensible conditions to inspect, but these studies do not estimate each condition's causal effect for an individual. An absent association in one sample or domain does not establish an absence of potential.

Sources: Testing the Domain Specificity of Creativity with Kaufman Domains of Creativity Scale: A Meta-Analytic Confirmatory Factor Analysis; Exploring Creative Spaces Predict Domain-Specific Creative Achievements; Openness to Experience and Intellect Differentially Predict Creative Achievement in the Arts and Sciences

How can you interpret an uneven pattern in your own activities?

Treat it as a clue about interests and experience, not as a verdict on your creative identity. Compare two recent activities: one where ideas came readily and one where they did not. Write down what you were asked to notice or make, what tools and knowledge you already had, how much room there was to experiment, and whether you chose to return to the task. This is a reflection exercise, not a validated test. It helps separate an observable pattern from the interpretation that a trait explains it.

For example, someone may enjoy inventing a story but feel stuck when asked to design a spreadsheet. That difference could involve the task's material, unfamiliar software, unclear instructions, or limited practice; it does not by itself show that the person lacks creativity in structured work. Conversely, enjoying a new activity is evidence of interest, not proof of likely achievement. The 2024 study's links between specific creative-space exploration and reported activities make content a useful question to ask, while its single university sample cannot tell an individual which field to pursue.

If you want to learn more, change one condition at a time. Try a small project with a clearer example, a beginner tool, or a subject you already enjoy, then notice whether you engage, experiment, or want to continue. Keep the observation modest: “I generated more ideas with a model to adapt” is more useful than “I am creative only in writing.” Access, time, instruction, feedback, and evaluation pressure may also shape what you get to do; the studies here do not determine their role in your particular case.

The verdict is that openness can be broadly helpful while its visible expression varies by domain. Research supports both cross-domain commonality and meaningful differences, but it does not support a fixed arts-versus-sciences personality rule or a personal forecast. When one area feels easier than another, compare the kind of exploration, skills, and opportunities each makes available before drawing a conclusion. If you want to see how this tendency sits beside other everyday patterns, the private Context Profile maps ten continuums without assigning a type; responses stay on your device unless you explicitly request optional anonymous synthesis.

Sources: Testing the Domain Specificity of Creativity with Kaufman Domains of Creativity Scale: A Meta-Analytic Confirmatory Factor Analysis; Exploring Creative Spaces Predict Domain-Specific Creative Achievements

Questions readers ask

Does openness make someone creative in every field?

No. Openness is associated with creative engagement in several studies, but findings vary by domain and outcome. It does not guarantee skill, achievement, or interest in every field.

Why might I generate ideas in one area but not another?

The activities may use different materials, knowledge, tools, and kinds of exploration. Compare what each task asks you to do and what practice or opportunity you have had before treating the difference as a broad personality pattern.

Sources and notes

  1. Openness to Experience and Intellect Differentially Predict Creative Achievement in the Arts and Sciences

    The PubMed abstract reports four samples totaling 1,035 participants and differentiated predictive associations for Openness in arts and Intellect in science achievement, with cognitive ability and divergent thinking accounting for part of the latter relation.

  2. Activities and accomplishments in various domains: Relationships with creative personality and creative motivation in adolescence

    The repository abstract describes 439 Chinese tenth graders and reports openness associations for music, visual arts, and writing activities but not science or technology.

  3. Testing the Domain Specificity of Creativity with Kaufman Domains of Creativity Scale: A Meta-Analytic Confirmatory Factor Analysis

    The meta-analysis supports both a general and a two-factor Arts/Sciences structure among K-DOCS self-report scores across 45 correlation matrices and 31,136 participants.

  4. Exploring Creative Spaces Predict Domain-Specific Creative Achievements

    The full study reports findings from 300 university students, including openness associations in three activity domains, no significant Intellect associations, and limits tied to self-report and sample experience.

  5. Opening up Openness to Experience: A Four-Factor Model and Relations to Creative Achievement in the Arts and Sciences

    The publisher abstract reports a sample of 146 English sixth-form students and differentiated arts and science associations for affective/aesthetic versus intellectual engagement and cognitive ability.

Apply it to your own pattern

See which work conditions fit your recurring tendencies

From this guide: If creative energy appears in one part of work but not another, compare the structure, tools, change, and expression each task demands.

A pattern across creative domains can raise a more personal question: which parts of your work invite curiosity, and which feel constrained by the task or setting? The private Context Profile maps ten everyday continuums so you can consider how tendencies combine. It is a reflection aid, not a career verdict; responses stay on your device unless you explicitly request optional anonymous synthesis.