Implicit Brain-Computer Interfaces for Adaptive Systems: Improving Performance through Physiological Sensing.

Afergan, Daniel.

Abstract: When humans interact with systems, we are limited to the direct commands to the system and results from these commands. While a machine is discrete and deterministic, the human is rich and unpredictable and may give off visible or physiological signs as to his or her current state. However, the system cannot detect these cues, thus leaving this fertile source of input untapped. Physiolog... read more

Tufts University. Department of Computer Science.
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ID: tufts:21344
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