EEG in Dual-Task Human-Machine Interaction: On the Feasibility of EEG based Support of Complex Human-Machine Interaction
Elsa Andrea Kirchner, Su-Kyoung Kim, Manfred Fahle
In Perception, o.A., volume 42 ECVP Abstract Supplement, pages 220-220, Aug/2013.

Abstract :

Usually, humans can deal with multiple tasks simultaneously. We show here that even under high cognitive workload in dual task conditions, the human electroencephalogram contains patterns faithfully representing well-defined cognitive states. This finding allows the detection of these brain states while a human performs complex human-machine interactions, such as teleoperating a robotic system, thus presenting the possibility of improving operator performance. We present the results of two experiments recording the human electroencephalogram. Subjects performed a demanding senso-motor task (Brio labyrinth). During the performance of the senso-motor (labyrinth) task, two types of visual stimuli occurred. One type of stimulus could be ignored while the other, quite similar type, required a motor response (that interfered with the labyrinth task). We recorded the EEG by means of a 64 channel system with active electrodes (Brain Products) and found significant and characteristic event related potentials at parietal electrode sites even without averaging, i.e. on single events. These activities were more strongly expressed under dual task than under simple task conditions while response behavior was identical. Our results indicate that even under high workload it is possible to detect certain cognitive states in the human electroencephalogram possibly improving human-machine interaction.



last updated 28.02.2023
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