12. A method for recognizing a voice comprising: inputting the voice of an user; calculating a similarity degree between the voice and each of a plurality of voice patterns, wherein the plurality of voice patterns respectively correspond to a plurality of phrases, which are preliminary set; determining the highest similarity degree so that one of the voice patterns corresponding to the highest similarity degree is recognized as the voice of the user; displaying a recognition result corresponding to the one of the voice patterns; executing a process according to the one of the voice patterns when a predetermined operation is input by the user after the displaying the recognition result; estimating a load of the user; and controlling to display the recognition result based on a positive correlation between the estimated load and display repetition of the recognition result.
12. A method for recognizing a voice comprising: inputting the voice of an user; calculating a similarity degree between the voice and each of a plurality of voice patterns, wherein the plurality of voice patterns respectively correspond to a plurality of phrases, which are preliminary set; determining the highest similarity degree so that one of the voice patterns corresponding to the highest similarity degree is recognized as the voice of the user; displaying a recognition result corresponding to the one of the voice patterns; executing a process according to the one of the voice patterns when a predetermined operation is input by the user after the displaying the recognition result; estimating a load of the user; and controlling to display the recognition result based on a positive correlation between the estimated load and display repetition of the recognition result. 18. The method according to claim 12 , wherein the estimating the load of the user includes obtaining living body information of the user, and wherein the load of the user is estimated based on the living body information.