Effects of mood and aging on keystroke dynamics metadata and their diurnal patterns in a large open-science sample: A BiAffect iOS study | Zendy

Claudia Vesel | Zendy; Homa Rashidisabet | Zendy; John Zulueta | Zendy; Jonathan P. Stange | Zendy; Jennifer Duffecy | Zendy; Faraz Hussain | Zendy; Andrea Piscitello | Zendy; John S. Bark | Zendy; Scott A. Langenecker | Zendy; Shan Young | Zendy; Erin Mounts | Zendy; Larsson Omberg | Zendy; Peter Nelson | Zendy; Raeanne C. Moore | Zendy; Dave Koziol | Zendy; Keith J. Bourne | Zendy; Casey C. Bennett | Zendy; Olusola Ajilore | Zendy; Alexander P. Demos | Zendy; Alex Leow | Zendy

Open Access

Effects of mood and aging on keystroke dynamics metadata and their diurnal patterns in a large open-science sample: A BiAffect iOS study

Author(s) -

Claudia Vesel,

Homa Rashidisabet,

John Zulueta,

Jonathan P. Stange,

Jennifer Duffecy,

Faraz Hussain,

Andrea Piscitello,

John S. Bark,

Scott A. Langenecker,

Shan Young,

Erin Mounts,

Larsson Omberg,

Peter Nelson,

Raeanne C. Moore,

Dave Koziol,

Keith J. Bourne,

Casey C. Bennett,

Olusola Ajilore,

Alexander P. Demos,

Alex Leow

Publication year - 2020

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1093/jamia/ocaa057

Subject(s) - metadata , mood , evening , demographics , depression (economics) , computer science , psychology , medicine , clinical psychology , world wide web , demography , astronomy , sociology , economics , macroeconomics , physics

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.

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