Alle Publikationen
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2018
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(2018): Computer scoring of emotional awareness in a nonclinical population of young adults. In: Journal of Personality Assessment 100 (1), S. 107-115. DOI: 10.1080/00223891.2017.1282866
DOI: https://doi.org/10.1080/00223891.2017.1282866 Abstract: The Levels of Emotional Awareness Scale (LEAS; Lane, Quinlan, Schwartz, Walker, & Zeitlin, 1990) is an open-ended measure of the ability to describe emotional reactions. Scoring the LEAS by hand is complex and time consuming (Barchard, Bajgar, Leaf, & Lane, 2010). Therefore, Program for Open-Ended Scoring (POES; Leaf & Barchard, 2010) was designed to score the LEAS quickly and easily. Using 268 undergraduates, this article compares traditional LEAS hand scoring to 6 POES methods, 2 of which are holistic methods that have never before been examined. Based on split-half reliability, correlations with measures of emotional and social intelligence, and partial correlations once response length and vocabulary were partialed out, we recommend 3 of the POES methods when testing nonclinical samples of young adults. Because POES scoring is fast and efficient, it allows more researchers and clinicians to use the LEAS, thus moving away from self-report measures of emotional awareness. (PsycINFO Database Record (c) 2018 APA, all rights reserved)
Keywords: Awareness, College Students, computer scoring, Emerging Adulthood, Emotional awareness, emotional reactions, Emotional Responses, Emotionsforschung, Levels of Emotional Awareness Scale, psychometrics, Scoring (Testing), Social intelligence, Soziale Intelligenz, Statistical Reliability, Statistical Validity, Test Reliability, young adults 2006
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(2006) : A Taxonomy of Applications that Utilize Emotional Awareness In: Erjavec, Tomaž; Žganec Gros, Jerneja (Hg.): Jezikovne tehnologije: Zbornik 9. mednarodne multikonference Informacijska družba IS 2006, 9. do 10. oktober 2006 = Language technologies : proceedings of the 9th International Multiconference Information Society IS 2006, 9th-10th October 2006, Ljubljana, Slovenia: Ljubljana: Institut "Jožef Stefan" (Informacijska družba), S. 246-250
Abstract: This paper deals with human-computer interaction applications that utilize emotional awareness. We will confine our discussion on speech-based applications. Prerequisites — training data, annotations — as well as state of the art in recognition and synthesis are addressed focusing on usability in possible applications and keeping restrictions in industrial environments in mind. We will present a taxonomy of applications using criteria such as online/offline, mirroring/non-mirroring, emotional/non-emotional and critical/noncritical system reactions. Based on a list of prototypical applications we check the consistency and usefulness of this taxonomy.
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