Assessment of an emotions’ induction technique using stimuli from interactive digital products

Authors

Keywords:

Physiological Sensors, User Experience Evaluation, Emotional Induction Process, Human-Computer Interaction

Abstract

In this work we propose a new and innovative process for the induction of emotional states, through visual stimulus based on interactive user interfaces (UI), to create a dataset of emotional physiological signals that can be used in the evaluation of the user experience (UX). Most existing datasets of emotional physiological signals, were generated based on images and videos, which are not useful for analysis of emotions in the evaluation process of the user experience, for this reason in this research, we propose a new emotional induction process that allows the creation of a physiological emotion dataset focused on the evaluation process of user experience. The population sample used for the generated emotional induction process is 15 users, 7 women and 8 men, which culminated in the creation of a dataset of 333 physiological signal files plus data from the SAM questionnaires and knowing the user. The information from these questionnaires was used to perform the statistical analysis of the data, which helped to determine the relationship that exists between the study variables.
Some of the future activities planned are to increase the sample size of the datase, increase the repository of stimuli for digital products, etc.

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Author Biographies

Karen Jaime-Diaz, Tecnológico Nacional de México/CENIDET

M.C. KAREN JAIME-DÍAZ. joined the TecNM/ CENIDET, Cuernavaca, Mexico as a student in the intelligent hybrid systems area in 2019. She received a M.C. degree in Computer Science in 2018.

Gabriel Gonzalez-Serna, Tecnológico Nacional de México/CENIDET

Ph.D. JUAN GABRIEL GONZÁLEZ-SERNA. joined the TecNM/CENIDET, Cuernavaca, Mexico as a Researcher in the intelligent hybrid systems area in 1992. His research areas include human–computer interaction, user experience, and affective computing. He received the Ph.D. degree in computer science in 2006.

Nimrod González-Franco, Tecnológico Nacional de México/CENIDET

NIMROD GONZÁLEZ-FRANCO. Joined the TecNM/CENIDET, Cuernavaca, Mexico as research professor in the Intelligent Hybrid Systems area in 2019. His research areas include brain-computer interface systems and machine learning. He received the Ph.D. degree in computer science in 2017

Dante Mújica-Vargas, Tecnológico Nacional de México/CENIDET

Ph.D. Dante Mújica-Vargas is a professor of the Computer Science Department of CENIDET/TecNM. He has published more than 30 papers in International Journals. He serves as active reviewer in more than 20 international journals; e.g. Artificial Intelligence in Medicine, Journal of Visual Communication and Image Representation, Journal of Intelligent \& Fuzzy Systems, Pattern Recognition, Frontiers in Neurorobotics, Evolving Systems, IEEE Access, International Journal of Fuzzy Systems, Electronics Letters, Transactions on Neural Networks and Learning Systems, Neurocomputing and Applied Soft Computing Journals, among others. He has been tutor of one P.Ph.D., 4 Ph.D., 15 M.S and 3 B.S. students.

Olivia Graciela Fragoso-Diaz, Tecnológico Nacional de México/CENIDET

Ph.D. Olivia Graciela Fragoso-Diaz. In 1995 Joined TecNM/CENIDET in Cuernavaca, Morelos, Mexico, as a researcher in the software engineering area. She received a PhD degree in Computer Science in 2012. Her research areas include software engineering and software technologies for e-learning, software reusability, web services classification and retrieval, software quality, user experience and software processes. She has been an IEEE senior member since 2004.

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Published

2022-08-22

How to Cite

Jaime-Diaz, K., Gonzalez-Serna, G., González-Franco, N., Mújica-Vargas, D., & Fragoso-Diaz, O. G. . (2022). Assessment of an emotions’ induction technique using stimuli from interactive digital products. IEEE Latin America Transactions, 20(9), 2162–2171. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/6439

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