The common ways a science visual fails
A science visual can lose its message through a weak story, a mismatch with its audience, inaccurate simplification, an unsuitable form, overloaded design or cognitive bias.
Effective scientific visualisation combines scientific understanding and design skills.
Missing story
A visual needs a clear message before production begins, especially when little or no text is available and there is limited room to add context or take a detour. The storyline must therefore convey as much as possible through the images.
Mismatched audience
The audience determines the message's presentation, story, visual form and colours: a comprehensive graph may suit a specialist, while a patient may benefit more from an infographic. Clear, simple presentation matters for both unfamiliar lay audiences and busy scientists or doctors who may not have time to decipher a complex visual.
Audience planning should consider:
- Familiarity with data and numbers.
- Where the visual will be seen, such as in a presentation or print.
- How much time the audience will spend understanding it.
- What it adds to existing knowledge.
Lost accuracy
Poor structure or oversimplification can remove data from context, lose the message, confuse viewers or create misconceptions. A visual must balance presenting a conclusion with providing facts from which viewers can draw their own conclusions. The designer needs an adequate understanding of the science and close collaboration with the scientist to balance design and accuracy.
Unsuitable visual form
The chosen visual affects how the message is perceived, and its elements must fit the data rather than serve as decoration. Text should support the visual, and the design should be tested for whether it can be understood without text.
Overloaded design
Overcrowding can make a scientific visual unappealing and cause it to miss its intended audience, while flashy effects distract from the message. The message and audience should guide design: a hand-hygiene poster for children needs a different approach from an ovarian-cancer-staging poster for medical students. There is no universal design solution, and working closely with a designer helps balance attracting attention with serving the message.
One rule of thumb is to use no more than four distinct colours in a visual and consider complementary colour choices. Colours should remain consistent across a chart and the presentation, poster or document containing it, helping viewers follow the story.
Basic graphic-design knowledge is recommended for science communicators.
Cognitive bias
Cognitive bias is harder to control than the five design pitfalls. Cognitive bias occurs when established thinking patterns influence judgements and decisions, and it can affect both the maker and viewer of a visual. Confirmation bias favours searching for or interpreting information that confirms existing beliefs; familiarity bias makes something seem more likely or true because it is familiar.
Selecting only data that agree with the maker's viewpoint can create unintended bias or a misleading conclusion. Viewers also interpret imagery subjectively, and individual biases cannot all be corrected; examining the audience and its background can help adapt a visual to minimise bias.