Bodily sensation maps: Exploring a new direction for detecting emotions from user self-reported data
Resumen: The ability of detecting emotions is essential in different fields such as user experience (UX), affective computing, and psychology. This paper explores the possibility of detecting emotions through user-generated bodily sensation maps (BSMs). The theoretical basis that inspires this work is the proposal by Nummenmaa et al. (2014) of BSMs for 14 emotions. To make it easy for users to create a BSM of how they feel, and convenient for researchers to acquire and classify users’ BSMs, we created a mobile app, called EmoPaint. The app includes an interface for BSM creation, and an automatic classifier that matches the created BSM with the BSMs for the 14 emotions. We conducted a user study aimed at evaluating both components of EmoPaint. First, it shows that the app is easy to use, and is able to classify BSMs consistently with the considered theoretical approach. Second, it shows that using EmoPaint increases accuracy of users’ emotion classification when compared with an adaptation of the well-known method of using the Affect Grid with the Circumplex Model, focused on the same set of 14 emotions of Nummenmaa et al. Overall, these results indicate that the novel approach of using BSMs in the context of automatic emotion detection is promising, and encourage further developments and studies of BSM-based methods.
Idioma: Inglés
DOI: 10.1016/j.ijhcs.2018.01.010
Año: 2018
Publicado en: International Journal of Human Computer Studies 113 (2018), 32-47
ISSN: 1071-5819

Factor impacto JCR: 2.006 (2018)
Categ. JCR: COMPUTER SCIENCE, CYBERNETICS rank: 9 / 23 = 0.391 (2018) - Q2 - T2
Categ. JCR: PSYCHOLOGY, MULTIDISCIPLINARY rank: 42 / 137 = 0.307 (2018) - Q2 - T1
Categ. JCR: ERGONOMICS rank: 6 / 16 = 0.375 (2018) - Q2 - T2

Factor impacto SCIMAGO: 0.688 - Education (Q1) - Engineering (miscellaneous) (Q1) - Software (Q1) - Human Factors and Ergonomics (Q1) - Human-Computer Interaction (Q1) - Hardware and Architecture (Q1)

Financiación: info:eu-repo/grantAgreement/ES/MINECO/TEC2013-50049-EXP
Financiación: info:eu-repo/grantAgreement/ES/UZ/JIUZ-2017-TEC-02
Financiación: info:eu-repo/grantAgreement/ES/UZ/JIUZ-2017-TEC-03
Tipo y forma: Artículo (PostPrint)
Área (Departamento): Área Tecnología Electrónica (Dpto. Ingeniería Electrón.Com.)
Área (Departamento): Área Lenguajes y Sistemas Inf. (Dpto. Informát.Ingenie.Sistms.)


Derechos Reservados Derechos reservados por el editor de la revista


Exportado de SIDERAL (2019-11-26-13:41:18)


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Este artículo se encuentra en las siguientes colecciones:
Artículos > Artículos por área > Lenguajes y Sistemas Informáticos
Artículos > Artículos por área > Tecnología Electrónica



 Registro creado el 2019-03-18, última modificación el 2019-11-26


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