A Systematic Review for Cognitive State-Based QoE/UX Evaluation
| Autor: | Edgar Bañuelos-Lozoya, Olivia Fragoso-Diaz, Gabriel González-Serna, Nimrod González-Franco, Noé Alejandro Castro-Sánchez |
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| Rok vydání: | 2021 |
| Předmět: |
biometric sensors
physiological data Computer science Context (language use) TP1-1185 02 engineering and technology Biochemistry Analytical Chemistry Cognition User experience design Human–computer interaction 0202 electrical engineering electronic engineering information engineering Humans Quality of experience Electrical and Electronic Engineering Instrumentation Graphical user interface Point (typography) business.industry Chemical technology UX 020207 software engineering Workload behavioral data cognitive states Atomic and Molecular Physics and Optics 020201 artificial intelligence & image processing Systematic Review QoE State (computer science) business |
| Zdroj: | Sensors, Vol 21, Iss 3439, p 3439 (2021) Sensors (Basel, Switzerland) |
| ISSN: | 1424-8220 |
| DOI: | 10.3390/s21103439 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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