Turning Shortcomings into Challenges: Brain-Computer Interfaces for Games

By Anton Nijholt, Boris Reuderink, D. P. Bos. Intelligent Technologies for Interactive Entertainment, 2009

347 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Pay attention!: designing adaptive agents that monitor and improve user engagement (2012, background): “Commercially-available, low-cost wireless EEG headsets have made this approach even more feasible for brain-computer interfaces (BCIs)[34].”
Flaws in current human training protocols for spontaneous Brain-Computer Interfaces: lessons learned from instructional design (2013, methodology): “Using BCI with game-like, 3D or Virtual Reality (VR) feedback environments have also been shown to increase BCI performances (Leeb et al., 2006; Lécuyer et al., 2008; Nijholt et al., 2009; Ron-Angevin and Diaz-Estrella, 2009; Lotte et al., 2013).”
Signal Processing Approaches to Minimize or Suppress Calibration Time in Oscillatory Activity-Based Brain–Computer Interfaces (2015, background): “…technology, e.g., to provide some communication abilities to severely disabled users [4], as a new control device for gaming for healthy users [5], [6] or to design adaptive human–computer interfaces that can react to the user’s mental state [7], among many other promising applications [1], [8].”