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Method for Semi-Automated Evaluation of User Experience Using Brain Activity.
Aleksander Bai1, Kristin S Fuglerud1
1Norwegian Computing Center, Oslo, Norway.
Studies in Health Technology and Informatics
|October 30, 2018
Summary
This study introduces a novel method for semi-automated user experience evaluation using electrophysiological equipment to monitor brain activity. This approach quantifies user experience in real-time, identifying difficulties during user testing for both digital and physical solutions.
Area of Science:
- Human-Computer Interaction
- Cognitive Science
- Biomedical Engineering
Background:
- User experience (UX) is crucial for usability and accessibility.
- Traditional UX evaluation methods (surveys, interviews) are retrospective and prone to memory errors.
- Real-time, objective UX measurement is needed.
Purpose of the Study:
- To propose a semi-automated method for evaluating user experience using electrophysiological data.
- To quantify user experience non-intrusively during user testing.
- To demonstrate the application of this method with a low-cost device.
Main Methods:
- Utilizing electrophysiological equipment to monitor electrical activity of the brain.
- Collecting and quantifying user experience data in a non-intrusive manner.
- Developing an unsupervised approach to auto-detect user difficulties during interaction.
Main Results:
- A low-cost device successfully recorded brain activity during user tests.
- The method auto-detected areas where users experienced difficulties.
- The approach is applicable to both digital solutions and physical installations.
Conclusions:
- Semi-automated UX evaluation using brain activity monitoring is feasible.
- This method offers a more objective and real-time alternative to traditional approaches.
- Observer verification is necessary to mitigate false positives.
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