Measuring Cognitive Abilities in the Wild: Validating a Population-Scale Game-Based Cognitive Assessment
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Measuring Cognitive Abilities in the Wild : Validating a Population-Scale Game-Based Cognitive Assessment. / Pedersen, Mads Kock; Díaz, Carlos Mauricio Castaño; Wang, Qian Janice; Alba-Marrugo, Mario Alejandro; Amidi, Ali; Basaiawmoit, Rajiv V.; Bergenholtz, Carsten; Christiansen, Morten H.; Gajdacz, Miroslav; Hertwig, Ralph; Ishkhanyan, Byurakn; Klyver, Kim; Ladegaard, Nicolai; Mathiasen, Kim; Parsons, Christine; Rafner, Janet; Villadsen, Anders R.; Wallentin, Mikkel; Zana, Blanka; Sherson, Jacob F.
In: Cognitive Science, Vol. 47, No. 6, e13308, 2023.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Measuring Cognitive Abilities in the Wild
T2 - Validating a Population-Scale Game-Based Cognitive Assessment
AU - Pedersen, Mads Kock
AU - Díaz, Carlos Mauricio Castaño
AU - Wang, Qian Janice
AU - Alba-Marrugo, Mario Alejandro
AU - Amidi, Ali
AU - Basaiawmoit, Rajiv V.
AU - Bergenholtz, Carsten
AU - Christiansen, Morten H.
AU - Gajdacz, Miroslav
AU - Hertwig, Ralph
AU - Ishkhanyan, Byurakn
AU - Klyver, Kim
AU - Ladegaard, Nicolai
AU - Mathiasen, Kim
AU - Parsons, Christine
AU - Rafner, Janet
AU - Villadsen, Anders R.
AU - Wallentin, Mikkel
AU - Zana, Blanka
AU - Sherson, Jacob F.
N1 - Publisher Copyright: © 2023 The Authors. Cognitive Science published by Wiley Periodicals LLC on behalf of Cognitive Science Society (CSS).
PY - 2023
Y1 - 2023
N2 - Rapid individual cognitive phenotyping holds the potential to revolutionize domains as wide-ranging as personalized learning, employment practices, and precision psychiatry. Going beyond limitations imposed by traditional lab-based experiments, new efforts have been underway toward greater ecological validity and participant diversity to capture the full range of individual differences in cognitive abilities and behaviors across the general population. Building on this, we developed Skill Lab, a novel game-based tool that simultaneously assesses a broad suite of cognitive abilities while providing an engaging narrative. Skill Lab consists of six mini-games as well as 14 established cognitive ability tasks. Using a popular citizen science platform (N = 10,725), we conducted a comprehensive validation in the wild of a game-based cognitive assessment suite. Based on the game and validation task data, we constructed reliable models to simultaneously predict eight cognitive abilities based on the users’ in-game behavior. Follow-up validation tests revealed that the models can discriminate nuances contained within each separate cognitive ability as well as capture a shared main factor of generalized cognitive ability. Our game-based measures are five times faster to complete than the equivalent task-based measures and replicate previous findings on the decline of certain cognitive abilities with age in our large cross-sectional population sample (N = 6369). Taken together, our results demonstrate the feasibility of rapid in-the-wild systematic assessment of cognitive abilities as a promising first step toward population-scale benchmarking and individualized mental health diagnostics.
AB - Rapid individual cognitive phenotyping holds the potential to revolutionize domains as wide-ranging as personalized learning, employment practices, and precision psychiatry. Going beyond limitations imposed by traditional lab-based experiments, new efforts have been underway toward greater ecological validity and participant diversity to capture the full range of individual differences in cognitive abilities and behaviors across the general population. Building on this, we developed Skill Lab, a novel game-based tool that simultaneously assesses a broad suite of cognitive abilities while providing an engaging narrative. Skill Lab consists of six mini-games as well as 14 established cognitive ability tasks. Using a popular citizen science platform (N = 10,725), we conducted a comprehensive validation in the wild of a game-based cognitive assessment suite. Based on the game and validation task data, we constructed reliable models to simultaneously predict eight cognitive abilities based on the users’ in-game behavior. Follow-up validation tests revealed that the models can discriminate nuances contained within each separate cognitive ability as well as capture a shared main factor of generalized cognitive ability. Our game-based measures are five times faster to complete than the equivalent task-based measures and replicate previous findings on the decline of certain cognitive abilities with age in our large cross-sectional population sample (N = 6369). Taken together, our results demonstrate the feasibility of rapid in-the-wild systematic assessment of cognitive abilities as a promising first step toward population-scale benchmarking and individualized mental health diagnostics.
KW - Big data
KW - Cognitive abilities
KW - Crowdsourcing
KW - Gamification
KW - Stealth assessment
U2 - 10.1111/cogs.13308
DO - 10.1111/cogs.13308
M3 - Journal article
C2 - 37354036
AN - SCOPUS:85163824419
VL - 47
JO - Cognitive Science
JF - Cognitive Science
SN - 0364-0213
IS - 6
M1 - e13308
ER -
ID: 371560134