Measuring Cognitive Abilities in the Wild: Validating a Population-Scale Game-Based Cognitive Assessment

Mads Kock Pedersen; Carlos Mauricio Castaño Díaz; Qian Janice Wang; Mario Alejandro Alba-Marrugo; Ali Amidi; Rajiv Vaid Basaiawmoit; Carsten Bergenholtz; Morten H. Christiansen; Miroslav Gajdacz; Ralph Hertwig; Byurakn Ishkhanyan; Kim Klyver; Nicolai Ladegaard; Kim Mathiasen; Christine Parsons; Janet Rafner; Anders Ryom Villadsen; Mikkel Wallentin; Blanka Zana; Jacob Friis Sherson

doi:10.1111/cogs.13308

Measuring Cognitive Abilities in the Wild: Validating a Population-Scale Game-Based Cognitive Assessment

Mads Kock Pedersen, Carlos Mauricio Castaño Díaz, Qian Janice Wang, Mario Alejandro Alba-Marrugo, Ali Amidi, Rajiv Vaid Basaiawmoit, Carsten Bergenholtz, Morten H. Christiansen, Miroslav Gajdacz, Ralph Hertwig, Byurakn Ishkhanyan, Kim Klyver, Nicolai Ladegaard, Kim Mathiasen, Christine Parsons, Janet Rafner, Anders Ryom Villadsen, Mikkel Wallentin, Blanka Zana, Jacob Friis Sherson^*

^*Corresponding author af dette arbejde

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review

4 Citationer (Scopus)

102 Downloads (Pure)

Abstract

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.

Originalsprog	Engelsk
Artikelnummer	e13308
Tidsskrift	Cognitive Science
Vol/bind	47
Nummer	6
Antal sider	27
ISSN	0364-0213
DOI	https://doi.org/10.1111/cogs.13308
Status	Udgivet - jun. 2023

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10.1111/cogs.13308Licens: CC BY-NC

Measuring Cognitive Abilities in the Wild_Publishers_version_2023Forlagets udgivne version, 1,96 MBLicens: CC BY-NC

Citationsformater

Pedersen, M. K., Díaz, C. M. C., Wang, Q. J., Alba-Marrugo, M. A., Amidi, A., Basaiawmoit, R. V., Bergenholtz, C., Christiansen, M. H., Gajdacz, M., Hertwig, R., Ishkhanyan, B., Klyver, K., Ladegaard, N., Mathiasen, K., Parsons, C., Rafner, J., Villadsen, A. R., Wallentin, M., Zana, B., & Sherson, J. F. (2023). Measuring Cognitive Abilities in the Wild: Validating a Population-Scale Game-Based Cognitive Assessment. Cognitive Science, 47(6), Artikel e13308. https://doi.org/10.1111/cogs.13308

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title = "Measuring Cognitive Abilities in the Wild: Validating a Population-Scale Game-Based Cognitive Assessment",

abstract = "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{\textquoteright} 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.",

keywords = "Cognitive abilities, Gamification, Stealth assessment, Crowdsourcing, Big data",

author = "Pedersen, {Mads Kock} and D{\'i}az, {Carlos Mauricio Casta{\~n}o} and Wang, {Qian Janice} and Alba-Marrugo, {Mario Alejandro} and Ali Amidi and Basaiawmoit, {Rajiv Vaid} and Carsten Bergenholtz and Christiansen, {Morten H.} and Miroslav Gajdacz and Ralph Hertwig and Byurakn Ishkhanyan and Kim Klyver and Nicolai Ladegaard and Kim Mathiasen and Christine Parsons and Janet Rafner and Villadsen, {Anders Ryom} and Mikkel Wallentin and Blanka Zana and Sherson, {Jacob Friis}",

year = "2023",

month = jun,

doi = "10.1111/cogs.13308",

language = "English",

volume = "47",

journal = "Cognitive Science",

issn = "0364-0213",

publisher = "Wiley-Blackwell",

number = "6",

}

Pedersen, MK, Díaz, CMC, Wang, QJ, Alba-Marrugo, MA, Amidi, A , Basaiawmoit, RV , Bergenholtz, C , Christiansen, MH, Gajdacz, M, Hertwig, R, Ishkhanyan, B, Klyver, K, Ladegaard, N , Mathiasen, K , Parsons, C , Rafner, J , Villadsen, AR , Wallentin, M, Zana, B & Sherson, JF 2023, 'Measuring Cognitive Abilities in the Wild: Validating a Population-Scale Game-Based Cognitive Assessment', Cognitive Science, bind 47, nr. 6, e13308. https://doi.org/10.1111/cogs.13308

Measuring Cognitive Abilities in the Wild: Validating a Population-Scale Game-Based Cognitive Assessment. / Pedersen, Mads Kock; Díaz, Carlos Mauricio Castaño; Wang, Qian Janice et al.
I: Cognitive Science, Bind 47, Nr. 6, e13308, 06.2023.

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review

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 Vaid

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 Ryom

AU - Wallentin, Mikkel

AU - Zana, Blanka

AU - Sherson, Jacob Friis

PY - 2023/6

Y1 - 2023/6

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 - Cognitive abilities

KW - Gamification

KW - Stealth assessment

KW - Crowdsourcing

KW - Big data

U2 - 10.1111/cogs.13308

DO - 10.1111/cogs.13308

M3 - Journal article

C2 - 37354036

SN - 0364-0213

VL - 47

JO - Cognitive Science

JF - Cognitive Science

IS - 6

M1 - e13308

ER -

Measuring Cognitive Abilities in the Wild: Validating a Population-Scale Game-Based Cognitive Assessment

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