Quantified Personality Automatic Personality Analysis From Online And Mobile Usage Data
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Quantified Personality. Automatic Personality Analysis from Online and Mobile Usage Data
Essay from the year 2017 in the subject Computer Science - Applied, , language: English, abstract: Algorithms are instructions for the stepwise execution of a method. Social and cultural scientists but tend to broaden the meaning of this notion and use it as an umbrella notion for digital automatization in general. But computer programs contain non-algorithmic command syntax, also. Furthermore, algorithms may develop and change during implementation and use which makes talking about “the” algorithm being always identical with itself often difficult or impossible. A comprehension of the notion of algorithm too distant from that of computer science hinders the comprehensibility of social and cultural scientific analyses by computer scientists. On the other hand, these sciences shouldn’t confine their usage of this notion to that of the latter to be still able to deal with the phenomenon from a different perspective. (cf. Dourish 2016) Automatic personality analysis doesn’t use data gathered by questionnaires administered to respondents, any more, but uses usage data which are generated by default and in different contexts, respectively. This is the big novelty of this field of investigation which led to the two articles published by Kosinski and Stillwell in the „Proceedings of the National Academy of Sciences of the United States of America“ in 2013 and 2015 being the most influential articles ever published in the “Proceedings” according to their Altmetric Score. These two articles dealt with the analysis of the personality of Facebook users using their Facebook likes. [...]
The Wiley Encyclopedia of Personality and Individual Differences, Measurement and Assessment
Volume 2, Measurement and Assessment of The Wiley Encyclopedia of Personality and Individual Differences The Encyclopedia of Personality and Individual Differences (EPID) is organized into four volumes that look at the many likenesses and differences between individuals. Each of these four volumes focuses on a major content area in the study of personality psychology and individuals' differences. The first volume, Models and Theories, surveys the significant classic and contemporary viewpoints, perspectives, models, and theoretical approaches to the study of personality and individuals' differences (PID). The second volume on Measurement and Assessment examines key classic and modern methods and techniques of assessment in the study of PID. Volume III, titled Personality Processes and Individuals Differences, covers the important traditional and current dimensions, constructs, and traits in the study of PID. The final volume discusses three major categories: clinical contributions, applied research, and cross-cultural considerations, and touches on topics such as culture and identity, multicultural identities, cross-cultural examinations of trait structures and personality processes, and more. Each volume contains approximately 100 entries on personality and individual differences written by a diverse international panel of leading psychologists Covers significant classic and contemporary personality psychology models and theories, measurement and assessment techniques, personality processes and individuals differences, and research Provides a comprehensive and in-depth overview of the field of personality psychology The Encyclopedia of Personality and Individual Differences is an important resource for all psychology students and professionals engaging in the study and research of personality.
Digital Phenotyping and Mobile Sensing
This book offers a snapshot of cutting-edge applications of digital phenotyping and mobile sensing for studying human behavior and planning innovative e-healthcare interventions. The respective chapters, written by authoritative researchers, cover both theoretical perspectives and good scientific and professional practices related to the use and development of these technologies. They share novel insights into established applications of mobile sensing, such as predicting personality or mental and behavioral health on the basis of smartphone usage patterns, and highlight emerging trends, such as the use of machine learning, big data and deep learning approaches, and the combination of mobile sensing with AI and expert systems. Important issues relating to privacy and ethics are analyzed, together with selected case studies. This thoroughly revised and extended second edition provides researchers and professionals with extensive information on the latest developments in the field of digital phenotyping and mobile sensing. It gives a special emphasis to trends in diagnostics systems and AI applications, suggesting important future directions for research in public health and social sciences.