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To accomplish the objective to make human-collaborative robots, we need to clarify how humans actually interact each other when they do collaborative work. In this study, we transcribed all utterances produced while participants' completing human-human collaborative conveyer task, and computed and categorized all morphemes (minimal unit of language meaning) using 4 categories based on the morpheme's...
We need to clarify features of human speech to make assistive robots more human adaptive. In this study, we focused on speech produced in human-human virtual collaborative conveyer task and transcribed all utterances spoken while completing the task. We computed morphemes (words or meaningful parts of words) by word class categories. The results were that the total number of morphemes spoken in each...
This paper addresses evaluation methods for social cooperation characteristics in cooperative tasks. Using these we found that the ratio of four typical indexes relate to task performance. Most of conventional human-machine systems assumed to assist only a single operator. In such cases, the system should only pay attention to his/her intention or operation characteristics. If there were multiple...
Importance of developing human adaptive robots or systems is increasing these days. To accomplish it, we have to clarify features of human-human communication. In this study, we analyzed human speech while completing computerized collaborate task to clarify how humans speak in collaborative work. We extracted questioning speeches from conversations using CLAN, and classified them into four categories...
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