Abstract
In human-computer interaction, it is important to offer the users correct modalities for particular tasks and situations. Unless the user has the suitable modality for a task, neither task performance nor user experience can be optimised. The aim of this study is to assess the appropriateness of using a steady-state visually evoked potential based brain-computer interface (BCI) for selection tasks in a computer game. In an experiment participants evaluated a BCI control and a comparable automatic speech recogniser (ASR) control in terms of workload, usability and engagement. The results showed that although BCI was a satisfactory modality in completing selection tasks, its use in our game was not engaging for the player. In our particular setup, ASR control appeared to be a better alternative to BCI control.
Original language | Undefined |
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Title of host publication | Proceedings of the 10th International Conference on Entertainment Computing (ICEC 2011) |
Editors | Junia Coutinho Anacleto, Sidney Fels, Nicholas Graham, Bill Kapralos, Magy Saif El-Nasr, Kevin Stanley |
Place of Publication | Berlin |
Publisher | Springer |
Pages | 77-88 |
Number of pages | 12 |
ISBN (Print) | 978-3-642-24499-5 |
DOIs | |
Publication status | Published - Oct 2011 |
Event | 10th International Conference on Entertainment Computing, ICEC 2011 - Vancouver, Canada Duration: 5 Oct 2011 → 8 Oct 2011 Conference number: 10 |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer Verlag |
Volume | 6972 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 10th International Conference on Entertainment Computing, ICEC 2011 |
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Abbreviated title | ICEC |
Country/Territory | Canada |
City | Vancouver |
Period | 5/10/11 → 8/10/11 |
Keywords
- IR-78538
- METIS-281569
- Engagement
- Games
- Brain-Computer Interface
- steady-state visually evoked potential
- EWI-20813
- Usability
- Workload
- HMI-SLT: Speech and Language Technology
- HMI-MI: MULTIMODAL INTERACTIONS
- HMI-CI: Computational Intelligence
- User Experience