Creativity, as psychologists define it, requires two things: an idea or product must be both novel and appropriate. Something purely bizarre isn’t creative if it doesn’t solve a problem or serve a purpose, and something perfectly useful isn’t creative if it’s already been done before. This two-part definition, sometimes called the “standard definition,” has anchored decades of research and measurement in the field.
But that clean definition opens up a sprawling territory. Psychologists study creativity as a cognitive process, a personality trait, a brain state, and a social phenomenon. Understanding what creativity actually means in psychology requires looking at all of these dimensions.
The Two Requirements: Novelty and Appropriateness
The formal definition most researchers use comes from a widely cited 2004 paper: creativity is “the interaction among aptitude, process, and environment by which an individual or group produces a perceptible product that is both novel and useful as defined in a certain social context.” Two things stand out here. First, novelty alone isn’t enough. A random string of words is novel, but it’s not a poem. The response has to be a fitting solution to a task or problem. Second, creativity is always judged within a social context. What counts as novel and useful depends on what a particular community already knows and values.
This dual criterion shapes how researchers design experiments, score tests, and evaluate creative output. When you see studies measuring “creativity,” they’re almost always rating products or ideas on both of these dimensions.
Four Levels of Creativity
For a long time, psychologists talked about creativity in two camps: everyday creativity (“little-c”), the kind found in nearly all people, and eminent creativity (“Big-C”), reserved for figures like Einstein or Picasso. Psychologists James Kaufman and Ronald Beghetto proposed a more nuanced model with four levels.
- Mini-c is creativity inherent in the learning process. When a child discovers a new way to think about fractions, that insight is genuinely creative to them, even if millions of others have had it before.
- Little-c is everyday creativity: cooking a new recipe, finding an unusual solution to a scheduling problem, decorating a room in a way that feels original.
- Pro-c represents the developmental leap beyond little-c into professional-level creative expertise. A working architect, a published novelist, or a software engineer designing elegant code operates here. It takes years of deliberate effort to reach this level.
- Big-C is eminent, historically significant creativity. It’s rare by definition and usually only recognized after the fact.
This four-level framework matters because it normalizes creativity as something everyone experiences, not a mysterious gift reserved for geniuses. It also highlights that moving from everyday creativity to professional creativity is a long, effortful process, not a sudden leap.
Divergent and Convergent Thinking
In the 1950s, psychologist J.P. Guilford drew a distinction that still organizes creativity research today. Divergent thinking means producing a wide range of possible responses to an open-ended problem. There’s no single correct answer. You’re generating as many ideas as you can, including unusual or unexpected ones. Convergent thinking is the opposite: narrowing many possibilities down to one correct or best solution by applying logic and rules.
Creative problem-solving uses both. You diverge first, exploring broadly, then converge to evaluate and select the best idea. Most creativity tests lean heavily on divergent thinking because it’s easier to measure. The Torrance Tests of Creative Thinking, one of the most widely used tools in the field, scores responses on four dimensions: fluency (how many relevant ideas you generate), flexibility (how many different categories those ideas span), originality (how statistically rare your ideas are compared to others’), and elaboration (how much detail you add beyond the minimum).
What Happens in the Brain
Creative thinking doesn’t live in one brain region. It emerges from the cooperation of two large-scale networks that usually work in opposition.
The default mode network activates when your mind wanders, daydreams, or engages in spontaneous, internally directed thought. It’s the network behind those sudden ideas that seem to arrive from nowhere while you’re in the shower. The executive control network handles focused attention, working memory, and evaluating whether an idea actually makes sense. In most situations, when one of these networks is active, the other quiets down.
In highly creative people, that pattern changes. Brain imaging research has found that divergent thinking ability is associated with increased functional connectivity between these two networks. In other words, the creative brain is better at running spontaneous idea generation and critical evaluation at the same time, or at least switching between them more fluidly. One theoretical framework describes this as “blind variation and selective retention”: the default mode network generates random conceptual combinations, while executive control regions evaluate and filter them. Stronger connections between these networks mean the two processes work more closely together.
The Four Stages of Creative Process
In 1926, Graham Wallas proposed a four-stage model of how creative ideas develop. It remains influential, partly because it matches what many people experience intuitively.
Preparation is the stage where you immerse yourself in a problem. You gather information, study existing solutions, and try different approaches. This is deliberate, conscious work. Incubation follows when you step away from the problem. Your mind continues processing below conscious awareness. This is why breakthroughs often come after a break, a walk, or a night of sleep. Illumination is the “aha” moment, the sudden insight where a solution clicks into place. It feels spontaneous, but it’s built on the groundwork of the first two stages. Verification is where you test, refine, and develop the idea into something that actually works.
The model is a useful map, though real creative work rarely follows these stages in a clean, linear sequence. People loop back, revisit earlier stages, and sometimes experience multiple cycles within a single project.
Personality and Creativity
Of the Big Five personality traits, openness to experience is far and away the strongest predictor of creative achievement. Across multiple large samples, openness correlated with total creative achievement at .38, a meaningful relationship in personality research. But the connection is more specific than it first appears.
Openness breaks down into two aspects: openness proper (engagement with aesthetics, fantasy, and sensory experience) and intellect (engagement with abstract ideas and logical problem-solving). Openness in the narrower sense predicted creative achievement in the arts (correlation of .39) but not in the sciences (just .10). Intellect showed the reverse pattern, more strongly linked to scientific creativity. So the personality profile of a highly creative person looks different depending on the domain they work in.
Motivation and Environment
One of the most consistent findings in creativity research is that intrinsic motivation, doing something because you find it genuinely interesting, produces higher-quality creative work than extrinsic motivation like rewards, grades, or deadlines. This isn’t just a preference. It’s a measurable effect on output quality.
A landmark 1973 study demonstrated what became known as the overjustification effect: when children who already enjoyed drawing were given expected rewards for drawing, their intrinsic interest in the activity dropped. The reward shifted their sense of why they were doing it from internal enjoyment to external payoff. A comprehensive meta-analysis later confirmed that virtually every type of expected tangible reward made contingent on task performance undermines intrinsic motivation.
The practical implications are significant. Students who feel overly controlled not only lose initiative but learn less effectively, especially when the task requires conceptual or creative processing. Environments that support autonomy, where people feel a sense of choice and ownership over their work, consistently produce more creative outcomes than environments built on surveillance, evaluation, and external incentives. This holds across classrooms, workplaces, and artistic settings.
None of this means rewards always kill creativity. Unexpected rewards, or rewards that acknowledge competence without feeling controlling, are less damaging. The key factor is whether the reward changes your perception of why you’re doing the work.