The GRID meets the Wheel: Assessing emotional feeling via self-report1

Scherer, Klaus R.; Shuman, Vera; Fontaine, Johnny; Soriano, Cristina

doi:10.1093/acprof:oso/9780199592746.003.0019

Cited by 159 publications

(175 citation statements)

References 27 publications

Supporting

Mentioning

159

Contrasting

Unclassified

Order By: Relevance

“…1 Response format of the GERT-S. Emotions are arranged in a circle to facilitate test-takers' orientation among the options (adapted from the Geneva Emotion Wheel instrument: Scherer, Shuman, Fontaine, & Soriano, 2013) gains and higher ratings of cooperativeness and likability in a face-to-face negotiation over the terms of a fictional work contract. The GERT has been translated into different languages, including French, German, Dutch, Italian, Mandarin, and Hungarian, and it is currently being used by numerous research groups around the world via an online platform (for more information and a demo version, see www.affectivesciences.org/content/geneva-emotion-recognition-test-gert).…”

mentioning

confidence: 99%

Introducing a short version of the Geneva Emotion Recognition Test (GERT-S): Psychometric properties and construct validation

2015

Self Cite

View full text Add to dashboard Cite

The ability to accurately interpret others' emotional expressions in the face, voice, and body is a crucial component of successful social functioning and has been shown to predict better outcomes in private and professional life. To date, emotion recognition ability (ERA) has mostly been measured with tests that heavily rely on static pictures of the face and on few emotions, restricting their content validity. Recently, Schlegel, Grandjean, and Scherer (Psychological Assessment, 26, 666-672, 2014) published a new test that measures ERA in a more comprehensive fashion, by (1) including a wide range of 14 positive and negative emotions and (2) using video clips with sound that simultaneously present facial, vocal, and bodily emotional cues. This article introduces the short version of the Geneva Emotion Recognition Test (the GERT-S), and presents two studies (total N = 425) that examine the internal consistency, factor structure, and convergent and discriminant validity of the test. The results show that the GERT-S is a unidimensional test with good internal consistency. Furthermore, the GERT-S was substantially positively correlated with other ERA tests, with tests of emotional understanding and emotion management, and with cognitive ability. Taken together, the present studies demonstrate the usefulness of the GERT-S as an instrument for the brief and reliable assessment of ERA. It is available, free of charge and in seven different languages, for academic research use. Given the brief test-taking time (approx. 10 min) and its possible administration via different online platforms, the GERT-S can easily be integrated by researchers into their own studies.

show abstract

mentioning

confidence: 99%

Introducing a short version of the Geneva Emotion Recognition Test (GERT-S): Psychometric properties and construct validation

2015

Self Cite

View full text Add to dashboard Cite

show abstract

“…Ao longo dos anos, diversos instrumentos foram criados (Betella & Verschure, 2016;Kammann & Flett, 1983;Mehrabian & Russell, 1974;Quirin, Kazén, & Kuhl, 2009;Scherer, Shuman, Fontaine, & Soriano, 2013;Watson et al, 1988;Yik et al, 2011) com base nas proposições de Russell (1980) e Bradburn (1969. Entre eles, os instrumentos de Kammann e Flett (1983), Watson et al (1988) e Quirin et al (2009) possuem estruturas teóricas semelhantes e baseadas nas dimensões afetos positivos e afetos negativos, enquanto os instrumentos de Mehrabian e Russell (1974), Betella e Verschure (2016), Scherer et al (2013) e Yik et al (2011) apresentam fundamentação teórica similar à do circumplexo, com base nas dimensões valência e ativação.…”

Section: Figura 1 Dimensões E Variáveis Constituintes Do Circumplexunclassified

“…Entre eles, os instrumentos de Kammann e Flett (1983), Watson et al (1988) e Quirin et al (2009) possuem estruturas teóricas semelhantes e baseadas nas dimensões afetos positivos e afetos negativos, enquanto os instrumentos de Mehrabian e Russell (1974), Betella e Verschure (2016), Scherer et al (2013) e Yik et al (2011) apresentam fundamentação teórica similar à do circumplexo, com base nas dimensões valência e ativação. De todas as escalas identificadas na literatura especializada, apenas a PANAS (Carvalho et al, 2013;Zanon & Hutz, 2014) possui evidências de validade no Brasil.…”

Section: Figura 1 Dimensões E Variáveis Constituintes Do Circumplexunclassified

O afeto sob a perspectiva do circumplexo: evidências de validade de construto

et al. 2017

View full text Add to dashboard Cite

RESUMOO afeto é um estado de prazer ou desprazer com diferentes graus de ativação e é constantemente vivenciado pelas pessoas. Objetivou-se com este estudo buscar evidências de validade e precisão de um instrumento de medida para avaliação de afeto em uma amostra de atletas. ABSTRACT -Core affect and the circumplex approach: Evidence for construct validity Core affect is a feeling of pleasure or displeasure that varies in terms of activation, and it is constantly experienced by people. The aim of this study was to verify the validity and reliability evidence of a measurement instrument to assess core affect in a population of athletes. The sample was composed of 330 athletes (87.6% are male), with a mean age of 21.8 years (SD=5.36). The measurement instrument used for data collection included 26 pairs of adjectives based on a circumplex representing a possible model for core affect. Data analysis was performed using descriptive statistics, factor analysis, and Cronbach's alpha. Moreover, partial validity evidence was found for a 3-factor solution. In conclusion, further studies are recommended to search for evidence of validity and precision regarding core affect in the Brazilian population. Keywords: core affect; psychometrics; sport psychology.RESUMEN -El afecto bajo la perspectiva del circumplejo: evidencia de la validez del constructo El afecto es un estado de placer o desplacer con grados variables de activación y se experimenta constantemente en la vida de las personas. El objetivo de este estudio fue buscar evidencia de la validez y exactitud de un instrumento de medida para evaluación de afecto en una muestra de atletas. La muestra fue de 330 atletas (87,6 % varones) con una edad promedio de 21,8 años (DE=5,36). El instrumento de medición utilizado para la recolección de datos tuvo 26 pares de adjetivos que se basaban en un circumplejo que es un posible modelo de afecto. El análisis de datos se realizó mediante procedimientos tales como estadística descriptiva, análisis factorial y el cálculo de alfa de Cronbach. Se encontraron evidencias de validez parciales para el instrumento de medida con tres factores. Se sugiere que se realicen nuevas investigaciones para buscar evidencias de la validez y exactitud sobre el afecto en el contexto brasileño. Palabras clave: afecto; psicometría; psicología del deporte.

show abstract

“…(Ekman & Friesen 1971;Ortony et al 1988;Pekrun 1992), while dimensional models specify gradual emotions as arousal, valence, control, intensity, duration, frequency of occurrence, etc. (Rusell 1983;Kort & Reilly 2002;Scherer et al 2013;Kuncheva 2000).…”

Section: Emotion Modelsmentioning

confidence: 99%

A model for providing emotion awareness and feedback using fuzzy logic in online learning

et al. 2016

View full text Add to dashboard Cite

Aquesta és una còpia de la versió author's final draft d'un article publicat a la revista Soft computing.La publicació final està disponible a Springer a través de http://dx.doi.org/10.1007/s00500-016-2399-0 This is a copy of the author 's final draft version of an article published in the journal Soft computing.The final publication is available at Springer via http://dx.doi.org/10.1007/s00500-016-2399-0 Article publicat / Published article:Arguedas, M. [et al.] (2016) A model for providing emotion awareness and feedback using fuzzy logic in online learning. " Soft computing". Doi: 10.1007/s00500-016-2399-0 Abstract: Monitoring users' emotive states and using that information for providing feedback and scaffolding is crucial. In the learning context, emotions can be used to increase students' attention as well as to improve memory and reasoning. In this context, tutors should be prepared to create affective learning situations and encourage collaborative knowledge construction as well as identify those students' feelings which hinder learning process. In this paper, we propose a novel approach to label affective behavior in educational discourse based on fuzzy logic, which enables a human or virtual tutor to capture students' emotions, make students aware of their own emotions, assess these emotions and provide appropriate affective feedback. To that end, we propose a fuzzy classifier that provides a priori qualitative assessment and fuzzy qualifiers bound to the amounts such as few, regular, and many assigned by an affective dictionary to every word. The advantage of the statistical approach is to reduce the classical pollution problem of training and analyzing the scenario using the same dataset. Our approach has been tested in a real online learning environment and proved to have a very positive influence on students' learning performance. Section/Category: Methodologies & Application Powered by Editorial Manager® and ProduXion Manager® from Aries Systems Corporation A MODEL FOR PROVIDING EMOTION AWARENESS AND FEEDBACK USING FUZZY LOGIC IN ONLINE LEARNINGAbstract Monitoring users' emotive states and using that information for providing feedback and scaffolding is crucial. In the learning context, emotions can be used to increase students' attention as well as to improve memory and reasoning. In this context, tutors should be prepared to create affective learning situations and encourage collaborative knowledge construction as well as identify those students' feelings which hinder learning process. In this paper, we propose a novel approach to label affective behavior in educational discourse based on fuzzy logic, which enables a human or virtual tutor to capture students' emotions, make students aware of their own emotions, assess these emotions and provide appropriate affective feedback. To that end, we propose a fuzzy classifier that provides a priori qualitative assessment and fuzzy qualifiers bound to the amounts such as few, regular, and many assigned by an affective dictionary to every word. The advan...

show abstract

The GRID meets the Wheel: Assessing emotional feeling via self-report1

Abstract: U n i v e r s i t y P r e s s , 2 0 1 3

Cited by 159 publications

References 27 publications

Introducing a short version of the Geneva Emotion Recognition Test (GERT-S): Psychometric properties and construct validation

Introducing a short version of the Geneva Emotion Recognition Test (GERT-S): Psychometric properties and construct validation

O afeto sob a perspectiva do circumplexo: evidências de validade de construto

A model for providing emotion awareness and feedback using fuzzy logic in online learning

Contact Info

Product

Resources

About