A Brain-Computer Interface (BCI) is a novel augmentative communication system that translates human intentions -- reflected by suitable brain signals -- into a control signal for an output device such as a computer application or a neuroprosthesis. Work in the field has tended to be dominated by the challenge of deriving useful input signals to the computer from the complex sensor data, and in training users how to use such devices, and progress has been made to the point at which some BCI systems can be used with relatively little training. The interaction aspects of such systems have, however, often played a secondary role to the technical challenges of sensor interpretation.

This workshop is intended to bring researchers from the broader Human-Computer Interaction (HCI) community together with researchers in the BCI community, to discuss how lessons learned in modern HCI research can improve BCI interfaces, and also how the challenges faced in BCI (e.g., low-bit rates, inherently noisy sensing, no proprioceptive feedback, potentially dangerous control actions) can stimulate a rethink of some core elements of HCI.

Update on the workshop:

Please visit our "The Program" section that has been updated with talk presentations

 

BCI_meets_HCI.jpg