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JAIST Repository: 相手の状況を表す音による状況アウェアネス支援に関する研究

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(1)JAIST Repository https://dspace.jaist.ac.jp/. Title. 相手の状況を表す音による状況アウェアネス支援に関 する研究. Author(s). 半場, 雄介. Citation Issue Date. 2006-03. Type. Thesis or Dissertation. Text version. author. URL. http://hdl.handle.net/10119/591. Rights Description. Supervisor:金井 秀明, 知識科学研究科, 修士. Japan Advanced Institute of Science and Technology.

(2) Research on Supporting Situation Awareness using Expressed Sound Yusuke Hanba School of Knowledge Science, Japan Advanced Institute of Science and Technology March 2006 Keywords: awareness, sound, Bayesian Network, RFID The range where communications can be taken with an other person away has extended,by the diffusion of the portable terminal and e-mail.However, the problem of having a telephone call while taking it came to happen.The probl em occurs from no understanding of other person's situation. Even if the ot her person is away, communications corresponding to othe person's situasion can be done if it can know other person's situation. The author suggest system of supporting communication using aweaness of ot her person's situation.User can know other person's situation by hearing th e sound that express specific situation.There are ringtone of the telephone and doorbell as an example of the expression sound.If the expression sound can be enabled to know situation of other person, the expression sound beco mes information for making a decision. It needs to get situaiton of other person to aware other person's situatio n.the Bayesian Network is used to infer situation.In infering situasion, it was thought that user's situation depend on the place.Uses's place is detec ted by Actife RFID(Radio Frequency Identification). The system presumes the situation from user's place using the Bayesian Netw ork.The receiver of Active RFID is set up in the place that depend particul ar action in the daily life.There are a desk and bed as an example of the p lace.When setting receivers up, the range to detece RFID tag is adjusted.In. 1.

(3) doing so, it identify the place where user with tag. To verify effectiveness of the proposed system, three experiments were don e.To evalute situation presumption part, I compare the place that understoo d form situation presumption part with the place where user actually exists. In addition, how the situation depended on the place was examined. From the result, the presumption of the place did not obtain the assumed ac curay.But, it has been understood that about 90 percent of the situation de pended on the place. To verify whether the situation is told using the expression sound, the ex aminee answered the situation that the sound showed after hearing the expre sssion sound.From the result, there is some sounds that all examinnee answe red correctly.Therefore, It has been understood that the expression sound i s able to tell the situasion. To tell reliability of the Bayesian Network using sound, I compare the mat hod of combining the expression sound with noise sound with the mathod of c hanging volume of expression sound.The change by the diffrent enviroment wa s examined.The enviroment was prepared for two kinds.One is an enviroment t hat is quite and another one has daily life noise.From the result, in the e nviroment that is quite, the mathod of changing volume of expression sound was effective.In the enviroment has daily life noise, the mathod of combini ng the expression sound with noise was effective.. Copyright Ⓒ 2002 by Taro Chishiki. 2.

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