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在野外测量认知能力:验证基于游戏的大规模人群认知评估。

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

机构信息

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

Department of Business Development and Technology, Aarhus University.

出版信息

Cogn Sci. 2023 Jun;47(6):e13308. doi: 10.1111/cogs.13308.

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.

摘要

快速的个体认知表型学有可能彻底改变从个性化学习、就业实践到精准精神病学等广泛领域。超越传统基于实验室实验的限制,新的努力一直在朝着更大的生态有效性和参与者多样性方向进行,以捕捉普通人群中认知能力和行为的个体差异的全貌。在此基础上,我们开发了 Skill Lab,这是一种新颖的基于游戏的工具,同时评估广泛的认知能力,并提供引人入胜的叙述。Skill Lab 由六个迷你游戏和 14 个已建立的认知能力任务组成。我们利用一个流行的公民科学平台(N = 10,725),在野外对基于游戏的认知评估套件进行了全面验证。基于游戏和验证任务数据,我们构建了可靠的模型,根据用户在游戏中的行为,同时预测八种认知能力。后续验证测试表明,这些模型可以区分每个单独认知能力中的细微差别,并捕捉到广义认知能力的共享主要因素。我们的基于游戏的测量方法比等效的基于任务的测量方法快五倍,并且在我们的大型横断面人群样本(N = 6369)中复制了某些认知能力随年龄下降的先前发现。总之,我们的结果表明,快速的野外系统认知能力评估是一种可行的方法,是迈向大规模人口基准测试和个体化心理健康诊断的有希望的第一步。

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