EEG Measurements for Evaluation of Man-Machine Interface

Abstract

Along with the recent sophistication of information devices, the design of man-machine interfaces has become increasingly important. In order to evaluate the effectiveness of a man-machine interface, users' cognitive workload should be considered. As measures of cognitive workload, performance, subjective rating, secondary task, and physiological indices have been used. Recently, the signal analysis of electroencephalography (EEG) has been improved, and the application area has been extended. The objective of this study was to measure cognitive workload from EEG signals during the use of a head-mounted display (HMD). Auditory steady-state responses (ASSR) were used to analyze EEG signals. The results showed a tendency that ASSR amplitude changes with the cognitive workload in the use of HMD. The advantages of ASSR are discussed compared to other workload measures.