Designing Implicit Interfaces for Physiological Computing: Guidelines and Lessons Learned Using fNIRS

@article{Solovey2015DesigningII,
  title={Designing Implicit Interfaces for Physiological Computing: Guidelines and Lessons Learned Using fNIRS},
  author={Erin Treacy Solovey and Daniel Afergan and Evan M. Peck and Samuel W. Hincks and Robert J. K. Jacob},
  journal={ACM Trans. Comput.-Hum. Interact.},
  year={2015},
  volume={21},
  pages={35:1-35:27}
}
A growing body of recent work has shown the feasibility of brain and body sensors as input to interactive systems. However, the interaction techniques and design decisions for their effective use are not well defined. We present a conceptual framework for considering implicit input from the brain, along with design principles and patterns we have developed from our work. We also describe a series of controlled, offline studies that lay the foundation for our work with functional near-infrared… CONTINUE READING
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