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Cognitive Development During Adulthood01:30

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Cognitive development continues throughout adulthood, undergoing significant shifts across early, middle, and late stages. Individual transition occurs from adolescent idealism to pragmatic and adaptable thinking in early adulthood. During this period, individuals learn to integrate personal beliefs with the recognition that other perspectives are equally valid. Exposure to the complexities of modern society, diverse experiences, and higher education contribute to this adaptive thought process,...
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Related Experiment Video

Updated: Jul 25, 2025

Combining Computer Game-Based Behavioural Experiments With High-Density EEG and Infrared Gaze Tracking
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Measuring Cognitive Abilities in the Wild: Validating a Population-Scale Game-Based Cognitive Assessment.

Mads Kock Pedersen1,2, Carlos Mauricio Castaño Díaz3, Qian Janice Wang1,4

  • 1Center for Hybrid Intelligence, Department of Management, Aarhus University.

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|June 24, 2023
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Summary
This summary is machine-generated.

Skill Lab, a new game-based tool, rapidly assesses cognitive abilities in diverse populations. This approach offers a faster, more accessible method for understanding individual cognitive differences and supports personalized diagnostics.

Keywords:
Big dataCognitive abilitiesCrowdsourcingGamificationStealth assessment

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Area of Science:

  • Cognitive Science
  • Psychometrics
  • Human-Computer Interaction

Background:

  • Traditional cognitive assessments are time-consuming and lack ecological validity.
  • There is a need for rapid, accessible, and engaging methods for cognitive phenotyping.
  • Citizen science platforms offer opportunities for large-scale data collection in naturalistic settings.

Purpose of the Study:

  • To develop and validate Skill Lab, a novel game-based tool for simultaneous cognitive ability assessment.
  • To evaluate the feasibility of rapid, in-the-wild cognitive phenotyping.
  • To establish a foundation for population-scale cognitive benchmarking and personalized diagnostics.

Main Methods:

  • Development of Skill Lab, a game-based suite with mini-games and established cognitive tasks.
  • Large-scale validation (N = 10,725) on a citizen science platform.
  • Construction and validation of predictive models for eight cognitive abilities based on in-game behavior.

Main Results:

  • Skill Lab models reliably predict individual cognitive abilities from in-game behavior.
  • The game-based measures are five times faster than traditional tasks.
  • Findings replicate age-related cognitive decline in a large sample (N = 6369).

Conclusions:

  • Game-based cognitive assessment is feasible for rapid, in-the-wild evaluation.
  • Skill Lab demonstrates potential for broad applications in personalized learning, employment, and psychiatry.
  • This approach advances population-scale cognitive benchmarking and individualized mental health diagnostics.