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Development of a Framework for the Communication System Based on KNX for an Interactive Space for UX Evaluation
Ariel A Lopez-Aguilar1, M Rogelio Bustamante-Bello1, Sergio A Navarro-Tuch1
1School of Engineering and Sciences, Tecnologico de Monterrey, Mexico City 14380, Mexico.
Sensors (Basel, Switzerland)
|December 9, 2023
Summary
Domotics, or Home Automation, offers objective User Experience (UX) research potential. A novel framework using smart home technology and emotion recognition provides immersive, replicable UX evaluations.
Area of Science:
- Human-Computer Interaction
- Domotics and Smart Home Technology
- User Experience (UX) Research
Background:
- Domotics integrates intelligent systems to enhance quality of life.
- Traditional User Experience (UX) research methods can be subjective.
- Smart home technologies offer potential for objective UX evaluation through environment emulation and user monitoring.
Purpose of the Study:
- To develop and evaluate a framework for objective UX research using domotics.
- To synchronize home automation systems with non-invasive emotion recognition tools.
- To assess the viability of emulated environments and emotion recognition for UX evaluation.
Main Methods:
- Construction of an instrumented testing booth using KNX (home automation standard).
- Development of a Python-based framework to synchronize KNX systems with emotion recognition tools.
- Experimentation in a simulated laundry room to analyze participants' emotional responses to product prototypes, contrasted with traditional questionnaires.
Main Results:
- The framework successfully synchronized domotics data with emotion recognition.
- Emulated environments and non-invasive monitoring provided an immersive participant experience.
- Results indicated a robust UX evaluation methodology using the developed testing booth and framework.
Conclusions:
- The integration of domotics and emotion recognition offers a powerful approach to objective UX research.
- Emulated environments facilitate immersive user testing.
- The developed framework demonstrates the viability of non-invasive methods for robust UX evaluation.
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