Abstract
Applications of voice recognition technologies redound to carnavigation systems or mobile phones. However, cognitive-loads of voiceoperations are not discussed sufficiently. Because it is necessary totranslate a command to a verbal phrase, cognitive-loads of voiceoperations for simple tasks may become higher than those of manualoperations. 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 taskof a geometry pattern in which they responded by their voice or mouseclicks. Subjects were instructed to respond with the voice of “A” or “I” correspond to the transformation of the peripheral pattern. Theresults suggest that accuracy of detection and averaged response timeshow no significant difference between two conditions. On the otherhand, the distributions of latency of the first microsaccades showbiases immediately before or after the responses only on a voiceresponse condition. These results suggest that visual attention mightbe disengaged at the timings of response under the oral condition.
