Psychoinformatics

Yarkoni, Tal

doi:10.1177/0963721412457362

Cited by 104 publications

(27 citation statements)

References 37 publications

(49 reference statements)

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“…Regardless of the methods used, numerous challenges and issues arise through the analytic process, many of which are different from the problems and controversies encountered in traditional psychological studies. In this last section, we highlight key issues related to processing and analyzing data, interpreting results, and ethical considerations (see also Grimmer & Stewart, 2013;Iliev, Dehghani, & Sagi, 2014;Shah, Cappella, & Neuman, 2015;Yarkoni, 2012 for methodologies and discussions of issues).…”

Section: Obstacles and Challengesmentioning

confidence: 99%

Gaining insights from social media language: Methodologies and challenges.

Kern¹,

Park²,

Eichstaedt³

et al. 2016

Psychological Methods

187

223

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Language data available through social media provide opportunities to study people at an unprecedented scale. However, little guidance is available to psychologists who want to enter this area of research. Drawing on tools and techniques developed in natural language processing, we first introduce psychologists to social media language research, identifying descriptive and predictive analyses that language data allow. Second, we describe how raw language data can be accessed and quantified for inclusion in subsequent analyses, exploring personality as expressed on Facebook to illustrate. Third, we highlight challenges and issues to be considered, including accessing and processing the data, interpreting effects, and ethical issues. Social media has become a valuable part of social life, and there is much we can learn by bringing together the tools of computer science with the theories and insights of psychology. (PsycINFO Database Record

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Section: Obstacles and Challengesmentioning

confidence: 99%

Gaining insights from social media language: Methodologies and challenges.

Kern¹,

Park²,

Eichstaedt³

et al. 2016

Psychological Methods

187

223

View full text Add to dashboard Cite

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“…Another new interesting avenue to understand the workings of primary emotions in humans will stem from Psychoinformatics Yarkoni, 2012). Psychoinformatics describes a new research discipline where computer science methods are used to better understand psychological phenotypes.…”

Section: Outlook On Future Research Directions Using An Theory In Permentioning

confidence: 99%

Affective Neuroscience Theory and Personality: An Update

Montag

Davis²

2018

Personality Neuroscience

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The present work gives a short overview of central aspects of Jaak Panksepp’s Affective Neuroscience Theory (AN theory) and its relevance for modern personality neuroscience. In contrast to the widely used Big Five approach to studying and understanding human personality, AN theory provides researchers with a distinct roadmap to the biological basis of personality, including molecular and neuroanatomical candidates, to understand individual differences in human behavior. Such molecular and neuroanatomical brain candidates have been derived by means of electrical brain stimulation and pharmacological challenges, while investigating primary emotional systems anchored in the subcortical mammalian brain. Research results derived from the study of emotions in mammals are also of relevance for humans because ancient layers of our minds—those layers where primary emotions originate—have been homologously conserved across species. From an evolutionary perspective, this makes sense because primal emotions represent “built-in tools for survival” for all mammals. In this context, Montag and Panksepp recently illustrated a potential ancient neurobiological effect by carving out robust associations between individual differences in primary emotions (assessed via self-report) and the Big Five in a cross-cultural study with data from the United States, Germany, and China. These associations together with some ideas derived from MacLean’s Triune Brain concept highlighted (a) that primary emotions likely represent the phylogenetically oldest parts of human personality and (b) that primary emotions influence human personality in a bottom-up fashion given their localization in ancient subcortical brain regions. A comment on the work by Montag and Panksepp asked for insights on putative links between primary emotions and facets of the Big Five. Therefore, we provide some first insights into such associations from recent Germany data. In addition, the present work provides a new short version of the Affective Neuroscience Personality Scales to assess individual differences in primary emotions.

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“…The possibilities arising from recording human-(digital)-machine-interaction is unprecedented, because smartphones are ubiquitously available and used in nearly all situations of modern life. This led to a new movement in the scientific community, which has been coined Psychoinformatics [5,8,9]. In short, methods from computer science are applied to do diagnostics and interventions in psychology (such as predicting the personality of a person (example for a trait) or a depressed state of mind from the gathered digital data sources; example for a state).…”

Section: Introductionmentioning

confidence: 99%

Concept, Possibilities and Pilot-Testing of a New Smartphone Application for the Social and Life Sciences to Study Human Behavior Including Validation Data from Personality Psychology

Montag¹,

Baumeister²,

Kannen

et al. 2019

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With the advent of the World Wide Web, the smartphone and the Internet of Things, not only society but also the sciences are rapidly changing. In particular, the social sciences can profit from these digital developments, because now scientists have the power to study real-life human behavior via smartphones and other devices connected to the Internet of Things on a large-scale level. Although this sounds easy, scientists often face the problem that no practicable solution exists to participate in such a new scientific movement, due to a lack of an interdisciplinary network. If so, the development time of a new product, such as a smartphone application to get insights into human behavior takes an enormous amount of time and resources. Given this problem, the present work presents an easy way to use a smartphone application, which can be applied by social scientists to study a large range of scientific questions. The application provides measurements of variables via tracking smartphone–use patterns, such as call behavior, application use (e.g., social media), GPS and many others. In addition, the presented Android-based smartphone application, called Insights, can also be used to administer self-report questionnaires for conducting experience sampling and to search for co-variations between smartphone usage/smartphone data and self-report data. Of importance, the present work gives a detailed overview on how to conduct a study using an application such as Insights, starting from designing the study, installing the application to analyzing the data. In the present work, server requirements and privacy issues are also discussed. Furthermore, first validation data from personality psychology are presented. Such validation data are important in establishing trust in the applied technology to track behavior. In sum, the aim of the present work is (i) to provide interested scientists a short overview on how to conduct a study with smartphone app tracking technology, (ii) to present the features of the designed smartphone application and (iii) to demonstrate its validity with a proof of concept study, hence correlating smartphone usage with personality measures.

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Psychoinformatics

Cited by 104 publications

References 37 publications

Gaining insights from social media language: Methodologies and challenges.

Gaining insights from social media language: Methodologies and challenges.

Affective Neuroscience Theory and Personality: An Update

Concept, Possibilities and Pilot-Testing of a New Smartphone Application for the Social and Life Sciences to Study Human Behavior Including Validation Data from Personality Psychology

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