Toward Psychoinformatics: Computer Science Meets Psychology

Christian Montag, Eilish Duke, Alexander Markowetz

Research output: Contribution to journalReview article

25 Citations (Scopus)

Abstract

The present paper provides insight into an emerging research discipline called Psychoinformatics. In the context of Psychoinformatics, we emphasize the cooperation between the disciplines of psychology and computer science in handling large data sets derived from heavily used devices, such as smartphones or online social network sites, in order to shed light on a large number of psychological traits, including personality and mood. New challenges await psychologists in light of the resulting “Big Data” sets, because classic psychological methods will only in part be able to analyze this data derived from ubiquitous mobile devices, as well as other everyday technologies. As a consequence, psychologists must enrich their scientific methods through the inclusion of methods from informatics. The paper provides a brief review of one area of this research field, dealing mainly with social networks and smartphones. Moreover, we highlight how data derived from Psychoinformatics can be combined in a meaningful way with data from human neuroscience. We close the paper with some observations of areas for future research and problems that require consideration within this new discipline.
LanguageEnglish
Article number2983685
Number of pages10
JournalComputational and Mathematical Methods in Medicine
Volume2016
DOIs
Publication statusPublished - 1 Jun 2016
Externally publishedYes

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Smartphones
Computer science
Computer Science
Psychology
Mobile devices
Social Networks
Social Support
Mood
Neuroscience
Equipment and Supplies
Informatics
Large Data Sets
Mobile Devices
Neurosciences
Research
Inclusion
Personality
Technology
Big data
Smartphone

Cite this

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Toward Psychoinformatics : Computer Science Meets Psychology. / Montag, Christian; Duke, Eilish; Markowetz, Alexander.

In: Computational and Mathematical Methods in Medicine, Vol. 2016, 2983685, 01.06.2016.

Research output: Contribution to journalReview article

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