User Interfaces for All: Concepts, Methods, and Tools
User Interfaces for All: Concepts, Methods, and Tools
Usability engineering methods for software developers
Communications of the ACM - Interaction design and children
Challenges in the Development and Evaluation of Immersive Digital Educational Games
USAB '08 Proceedings of the 4th Symposium of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society on HCI and Usability for Education and Work
USAB '08 Proceedings of the 4th Symposium of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society on HCI and Usability for Education and Work
UAHCI '09 Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Addressing Diversity. Part I: Held as Part of HCI International 2009
A Mixed-Method Approach on Digital Educational Games for K12: Gender, Attitudes and Performance
USAB '09 Proceedings of the 5th Symposium of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society on HCI and Usability for e-Inclusion
Wiimote vs. controller: electroencephalographic measurement of affective gameplay interaction
Futureplay '10 Proceedings of the International Academic Conference on the Future of Game Design and Technology
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This paper presents initial research on a new learnability assessment methodology. We propose the use of electroencephalography (EEG) to further improve usability testing. We discovered whether and to what extend there is a correlation between brainwave patterns and the learnability of the software used. Our central hypothesis is that learnability can be assessed by analyzing the rise and fall of specific frequency bands in electroencephalographic recordings. In order to collect empirical evidence for our hypothesis, we conducted an experiment with N=32 participants. We developed a test environment comprising a low-cost EEG system and developed software for analysis and testing. Based on our findings, we consider our EEG-based learnability test applicable, either as a pre-test - in order to determine whether further testing is necessary - or as an augmenting method during standard usability testing. The users' emotions, registered on the EEG, can be applied as a baseline for detecting possible usability difficulties and employed in the development of a biological rapid-usability method for accessibility assessment.