自然数字行为预测认知能力

IF 4.8 2区 计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS
Tung Vuong, Giulio Jacucci, Tuukka Ruotsalo
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引用次数: 0

摘要

众所周知,个体认知能力的差异会影响他们在数字环境中的行为和信息处理。然而,我们对哪些行为会受到影响、如何受到影响以及从数字行为中提取的某些特征是否能预测认知能力的了解还很有限。因此,研究人员可能会错失设计和支持个人个性化体验的机会,并发现那些可能从额外干预中受益的人。为了描述数字行为的特征,我们收集了 20 名成年人为期两周的笔记本电脑全天候屏幕记录、输入行为和操作系统数据。我们使用这些人的认知测试结果来描述他们的认知能力:精神运动速度、处理速度、选择性注意、工作记忆和流体智力。我们通过回归分析、路径建模和机器学习实验得出的结果表明,认知能力与数字行为的差异有关,而自然行为数据可以预测个体的认知能力,且误差率很小。我们的研究结果表明,自然交互数据是建立认知差异模型的新来源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Naturalistic Digital Behavior Predicts Cognitive Abilities

Individuals are known to differ in cognitive abilities, affecting their behavior and information processing in digital environments. However, we have a limited understanding of which behaviors are affected, how, and whether some features extracted from digital behavior can predict cognitive abilities. Consequently, researchers may miss opportunities to design and support individuals with personalized experiences and detect those who may benefit from additional interventions. To characterize digital behaviors, we collected 24/7 screen recordings, input behavior, and operating system data from the laptops of 20 adults for two weeks. We use cognitive test results from the same individuals to characterize their cognitive abilities: psychomotor speed, processing speed, selective attention, working memory, and fluid intelligence. Our results from regression analysis, path modeling, and machine learning experiments show that cognitive abilities are associated with differences in digital behavior and that naturalistic behavioral data can predict the cognitive abilities of individuals with small error rates. Our findings suggest naturalistic interaction data as a novel source for modeling cognitive differences.

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来源期刊
ACM Transactions on Computer-Human Interaction
ACM Transactions on Computer-Human Interaction 工程技术-计算机:控制论
CiteScore
8.50
自引率
5.40%
发文量
94
审稿时长
>12 weeks
期刊介绍: This ACM Transaction seeks to be the premier archival journal in the multidisciplinary field of human-computer interaction. Since its first issue in March 1994, it has presented work of the highest scientific quality that contributes to the practice in the present and future. The primary emphasis is on results of broad application, but the journal considers original work focused on specific domains, on special requirements, on ethical issues -- the full range of design, development, and use of interactive systems.
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