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Behavioral Interventions from Trait Insights

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Well-Being in the Information Society. Fighting Inequalities (WIS 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 907))

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Abstract

Individuals have the stated and unstated beliefs and intentions. The theory of planned behavior is expressed by the mathematical function where beliefs have empirically derived coefficients. However, personality traits can help account for differences in beliefs. In this paper, we will find out how we can amplify behavioral interventions from text-based trait insights. Therefore, we research techniques (e.g., sentence and word embedding) behind text-based traits. Furthermore, we exemplify text-based traits by 52 personality characteristics (35 dimensions and facets of Big Five, 12 needs and five values) and 42 consumption preferences via API of the IBM Watson™ Personality Insights service. Finally, we discuss the possibilities of behavioral interventions based on the personality characteristics and consumption preferences (i.e., text-based differences and similarities between the individuals).

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Correspondence to Ulla Gain .

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Appendices

Appendix A – Example of Big Five Traits and Facets of Them

figure a

Appendix B – Percentiles and Raw Scores for Personality Characteristics

figure b
figure c

Appendix C – Consumption Preferences

figure e

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Gain, U., Koponen, M., Hotti, V. (2018). Behavioral Interventions from Trait Insights. In: Li, H., Pálsdóttir, Á., Trill, R., Suomi, R., Amelina, Y. (eds) Well-Being in the Information Society. Fighting Inequalities. WIS 2018. Communications in Computer and Information Science, vol 907. Springer, Cham. https://doi.org/10.1007/978-3-319-97931-1_2

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  • DOI: https://doi.org/10.1007/978-3-319-97931-1_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-97930-4

  • Online ISBN: 978-3-319-97931-1

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