78272 20191126134631.0 doi 10.1016/j.ijhcs.2018.01.010 sideral 104537 ART-2018-104537 eng (orcid)0000-0002-2726-6760 García-Magariño, I. Universidad de Zaragoza Bodily sensation maps: Exploring a new direction for detecting emotions from user self-reported data 2018 Access copy available to the general public Unrestricted 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. info:eu-repo/grantAgreement/ES/MINECO/TEC2013-50049-EXP info:eu-repo/grantAgreement/ES/UZ/JIUZ-2017-TEC-02 info:eu-repo/grantAgreement/ES/UZ/JIUZ-2017-TEC-03 info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 2.006 2018 COMPUTER SCIENCE, CYBERNETICS 9 / 23 = 0.391 2018 Q2 T2 PSYCHOLOGY, MULTIDISCIPLINARY 42 / 137 = 0.307 2018 Q2 T1 ERGONOMICS 6 / 16 = 0.375 2018 Q2 T2 0.688 2018 Education 2018 Q1 Engineering (miscellaneous) 2018 Q1 Software 2018 Q1 Human Factors and Ergonomics 2018 Q1 Human-Computer Interaction 2018 Q1 Hardware and Architecture 2018 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Chittaro, L. (orcid)0000-0001-7550-6688 Plaza, I. Universidad de Zaragoza 5008 785 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Tecnología Electrónica 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 113 (2018), 32-47 Int. j. human-comput. stud. International Journal of Human Computer Studies 1071-5819 803669 http://zaguan.unizar.es/record/78272/files/texto_completo.pdf Postprint 48999 http://zaguan.unizar.es/record/78272/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:78272 articulos driver 2019-11-26-13:41:18 ARTICLE