抄録
Applications of voice recognition technologies redound to car navigation systems or mobile phones. However, cognitive-loads of voice operations are not discussed sufficiently. Because it is necessary to translate a command to a verbal phrase, cognitive-loads of voice operations for simple tasks may become higher than those of manual operations. In this study, we analyzed microsaccades, which are an indicator of by cognitive-loads such as attention concentration, to compare the loads between voice and manual operations objectively. Subjects performed a peripheral transition detection task of a geometry pattern in which they responded by their voice or mouse clicks. Subjects were instructed to respond with the voice of “A” or “I” correspond to the transformation of the peripheral pattern. The results suggest that accuracy of detection and averaged response time show no significant difference between two conditions. On the other hand, the distributions of latency of the first microsaccades show biases immediately before or after the responses only on a voice response condition. These results suggest that visual attention might be disengaged at the timings of response under the oral condition.
