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Effects of mood and aging on keystroke dynamics metadata and their diurnal patterns in a large open-science sample: A BiAffect iOS study.
Journal of the American Medical Informatics Association ( IF 6.4 ) Pub Date : 2020-05-28 , DOI: 10.1093/jamia/ocaa057
Claudia Vesel 1 , Homa Rashidisabet 1 , John Zulueta 2 , Jonathan P Stange 2 , Jennifer Duffecy 2 , Faraz Hussain 2 , Andrea Piscitello 3 , John Bark 2 , Scott A Langenecker 4 , Shannon Young 5 , Erin Mounts 5 , Larsson Omberg 5 , Peter C Nelson 3 , Raeanne C Moore 6 , Dave Koziol 7 , Keith Bourne 7 , Casey C Bennett 8, 9 , Olusola Ajilore 2 , Alexander P Demos 10 , Alex Leow 1, 2, 3
Affiliation  

Ubiquitous technologies can be leveraged to construct ecologically relevant metrics that complement traditional psychological assessments. This study aims to determine the feasibility of smartphone-derived real-world keyboard metadata to serve as digital biomarkers of mood.

中文翻译:

在一个大型开放科学样本中,情绪和衰老对按键动力学元数据及其昼夜模式的影响:BiAffect iOS研究。

可以利用无处不在的技术来构建与生态相关的指标,以补充传统的心理评估。这项研究旨在确定源自智能手机的真实世界键盘元数据用作情绪数字生物标记的可行性。
更新日期:2020-07-21
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