Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Affective computing
Emotion & design: attractive things work better
interactions
The human-computer interaction handbook
A grounded investigation of game immersion
CHI '04 Extended Abstracts on Human Factors in Computing Systems
Brain-computer interfaces for hci and games
CHI '08 Extended Abstracts on Human Factors in Computing Systems
Measuring and defining the experience of immersion in games
International Journal of Human-Computer Studies
Impact of Frequency Selection on LCD Screens for SSVEP Based Brain-Computer Interfaces
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
User expectations and experiences of a speech and thought controlled computer game
Proceedings of the 8th International Conference on Advances in Computer Entertainment Technology
Interfaces cérebro-computador de sistemas interativos: estado da arte e desafios de IHC
Proceedings of the 11th Brazilian Symposium on Human Factors in Computing Systems
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Brain-computer interfaces (BCIs) have widely been used in medical applications, to facilitate making selections. However, whether they are suitable for recreational applications is unclear as they have rarely been evaluated for user experience. As the scope of the BCI applications is expanding from medical to recreational use, the expectations of BCIs are also changing. Although the performance of BCIs is still important, finding suitable BCI modalities and investigating their influence on user experience demand more and more attention. In this study a BCI selection method and a comparable non-BCI selection method were integrated into a computer game to evaluate user experience in terms of immersion and affect. An experiment with seventeen participants showed that the BCI selection method was more immersive and positively affective than the non-BCI selection method. Participants also seemed to be more indulgent towards the BCI selection method.