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Systematic Review

A Systematic Review for Cognitive State-Based QoE/UX Evaluation

Department of Computer Science, TecNM/CENIDET, Morelos 62490, Mexico
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Author to whom correspondence should be addressed.
Academic Editors: Gianluca Borghini, Klaus Gramann, Tzyy-Ping Jung, Michelle Liou and Hong-Hsiang Liu
Sensors 2021, 21(10), 3439; https://doi.org/10.3390/s21103439
Received: 15 April 2021 / Revised: 3 May 2021 / Accepted: 6 May 2021 / Published: 14 May 2021
(This article belongs to the Special Issue Embodied Minds: From Cognition to Artificial Intelligence)
Traditional evaluation of user experience is subjective by nature, for what is sought is to use data from physiological and behavioral sensors to interpret the relationship that the user’s cognitive states have with the elements of a graphical interface and interaction mechanisms. This study presents the systematic review that was developed to determine the cognitive states that are being investigated in the context of Quality of Experience (QoE)/User Experience (UX) evaluation, as well as the signals and characteristics obtained, machine learning models used, evaluation architectures proposed, and the results achieved. Twenty-nine papers published in 2014–2019 were selected from eight online sources of information, of which 24% were related to the classification of cognitive states, 17% described evaluation architectures, and 41% presented correlations between different signals, cognitive states, and QoE/UX metrics, among others. The amount of identified studies was low in comparison with cognitive state research in other contexts, such as driving or other critical activities; however, this provides a starting point to analyze and interpret states such as mental workload, confusion, and mental stress from various human signals and propose more robust QoE/UX evaluation architectures. View Full-Text
Keywords: QoE; UX; cognitive states; physiological data; behavioral data; biometric sensors QoE; UX; cognitive states; physiological data; behavioral data; biometric sensors
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MDPI and ACS Style

Bañuelos-Lozoya, E.; González-Serna, G.; González-Franco, N.; Fragoso-Diaz, O.; Castro-Sánchez, N. A Systematic Review for Cognitive State-Based QoE/UX Evaluation. Sensors 2021, 21, 3439. https://doi.org/10.3390/s21103439

AMA Style

Bañuelos-Lozoya E, González-Serna G, González-Franco N, Fragoso-Diaz O, Castro-Sánchez N. A Systematic Review for Cognitive State-Based QoE/UX Evaluation. Sensors. 2021; 21(10):3439. https://doi.org/10.3390/s21103439

Chicago/Turabian Style

Bañuelos-Lozoya, Edgar, Gabriel González-Serna, Nimrod González-Franco, Olivia Fragoso-Diaz, and Noé Castro-Sánchez. 2021. "A Systematic Review for Cognitive State-Based QoE/UX Evaluation" Sensors 21, no. 10: 3439. https://doi.org/10.3390/s21103439

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