Emerging Technologies

Why visual skills aren't connected to your IQ

French doctor Sylvestre Rutkiewicz looks at a patient's x-ray at the Henin Beaumont private hospital in northern France, January 2, 2004. Experts have been sent to northern France to investigate an outbreak of Legionnaire's disease that has left six people dead and  over 50 sick since November 2003. - PBEAHUOLJDE

Professor Isabel Gauthier has discovered that there is less variation in people’s visual skills than there is in non-visual skills. Image: REUTERS/Pascal Rossignol

David Salisbury

There is a broad range of differences in people’s ability to visually recognize objects and faces—and those skills aren’t linked to general intelligence, a new study suggests.

Just because someone is smart and well-motivated doesn’t mean he or she can learn the visual skills needed to excel at tasks like matching fingerprints, interpreting medical X-rays, keeping track of aircraft on radar displays, or forensic face matching, the study implies.

“People may think they can tell how good they are at identifying objects visually,” says Isabel Gauthier, professor of psychology at Vanderbilt University, who headed the study. “But it turns out that they are not very good at evaluating their own skills relative to others.”

Greebles, sheinbugs, and ziggerins

In the past, research in visual object recognition focused largely on what people have in common, but Gauthier became interested in the question of how much visual ability varies among individuals. To answer this question, she and her colleagues had to develop a new test, which they call the Novel Object Memory Test (NOMT), to measure people’s ability to identify unfamiliar objects.

Gauthier first wanted to gauge public opinions about visual skills. She did so by surveying 100 laypeople using the Amazon Mechanical Turk crowdsourcing service.

Gauthier found that respondents generally consider visual tasks as fairly different from other tasks related to general intelligence. She also discovered that they feel there is less variation in people’s visual skills than there is in non-visual skills such as verbal and math ability.

The main problem that Gauthier and colleagues had to address in assessing individuals’ innate visual recognition ability was familiarity. The more time a person spends learning about specific types of objects, such as faces, cars, or birds, the better they get at identifying them. As a result, performance on visual recognition tests that use images of common objects are a complex mixture of people’s visual ability and their experience with these objects.

Importantly, they have proven to be a poor predictor of how well someone can learn to identify objects in a new domain.

Gauthier addressed this problem by using novel computer-generated creatures called greebles, sheinbugs, and ziggerins to study visual recognition.

The basic test consists of studying six target creatures, followed by a number of test trials displaying creatures in sets of three. Each set contains a creature from the target group along with two unfamiliar creatures, and the participant is asked to pick out the creature that is familiar.

Analyzing the results from more than 2000 subjects, Gauthier and colleagues discovered that how well subjects could recognize one creature predicted their ability to recognize the other kind, although these objects were visually quite different. This confirmed the new test can predict the ability to learn new categories.

It’s not IQ

The psychologists also used performance on several IQ-related tests and determined that the visual ability measured on the NOMT is distinct from and independent of general intelligence.

“This is quite exciting because performance on cognitive skills is almost always associated with general intelligence,” Gauthier says. “It suggests that we really can learn something new about people using these tests, over and beyond all the abilities we already know how to measure.”

Although the study confirms the popular intuition that visual skill is different from general intelligence, it found that individual variations in visual ability are much larger than most people think. For instance, on one metric, called the coefficient of variation, the spread of people was wider on the NOMT than on a nonverbal IQ test.

“A lot of jobs and hobbies depend on visual skills,” Gauthier says. “Because they are independent of general intelligence, the next step is to explore how we can use these tests in real-world applications where performance could not be well predicted before.”

National Science Foundation awards funded the research.

The researchers report their findings in the journal Cognition. A review article in press at Current Directions in Psychological Science discusses its implications.

Don't miss any update on this topic

Create a free account and access your personalized content collection with our latest publications and analyses.

Sign up for free

License and Republishing

World Economic Forum articles may be republished in accordance with the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Public License, and in accordance with our Terms of Use.

The views expressed in this article are those of the author alone and not the World Economic Forum.

Stay up to date:

Behavioural Sciences

Share:
The Big Picture
Explore and monitor how Behavioural Sciences is affecting economies, industries and global issues
A hand holding a looking glass by a lake
Crowdsource Innovation
Get involved with our crowdsourced digital platform to deliver impact at scale
World Economic Forum logo
Global Agenda

The Agenda Weekly

A weekly update of the most important issues driving the global agenda

Subscribe today

You can unsubscribe at any time using the link in our emails. For more details, review our privacy policy.

Generative AI and the workforce: 10 big trends we're seeing right now

David Elliott

November 25, 2024

AI at work: A practical guide to implementing and scaling new tools

About us

Engage with us

  • Sign in
  • Partner with us
  • Become a member
  • Sign up for our press releases
  • Subscribe to our newsletters
  • Contact us

Quick links

Language editions

Privacy Policy & Terms of Service

Sitemap

© 2024 World Economic Forum