University of Twente Student Theses
Brain Invaders - Finding the paradox of control in a p300-game through the use of distractions
Veen, G.F.P. van (2013) Brain Invaders - Finding the paradox of control in a p300-game through the use of distractions.
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| Abstract: | Research on Brain-Computer Interaction is slowly moving away from purely medical topics and into fields that allow for broader uses. Among these groups gaming is becoming a popular focus. While BCI-research in general requires precision, speed, and accuracy, gaming has its own separate requirements for controlling inputs, most importantly the presence of a Paradox of Control. That is to say; a game must give the player the feeling of being in control while also giving the feeling that control can be lost, causing failure. This research aims to find a form of the paradox of control within a specific paradigm of Brain-Computer Interaction, the P300-response. While the paradigm is usually used to select a single element out of a group of ele-ments, we are interested in the consequences of trying to disturb this selection process. For this, we have developed the P300-controlled game Brain Invaders, a game based on the classic Space Invaders that tasks players to focus on specific targets while the game tries to distract them. This will give insights into the balance between control precision and challenge. Results of the experiment indicate that distractors as implemented in this thesis do not sufficiently influence difficulty. Although some flaws in the experimental set up might have skewed these results, the general tendency of the experiment indicates that colours and movement do no influence difficulty. Nevertheless, they do seem to influence player enjoyment. |
| Item Type: | Essay (Master) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science |
| Programme: | Computer Science MSc (60300) |
| Link to this item: | https://purl.utwente.nl/essays/63413 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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