著者

佐野 祐士 佐藤 晃矢 白石 僚一郎 大槻 麻衣

出版者

特定非営利活動法人 日本バーチャルリアリティ学会

雑誌

日本バーチャルリアリティ学会論文誌 (ISSN:1344011X)

巻号頁・発行日

vol.22, no.4, pp.493-502, 2017 (Released:2017-12-31)

参考文献数

35

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We focused on the effect that applying visual and haptic stimuli reduce the task load of situation awareness during a ball game, and we hypothesized that as a result, they also reduce the number of misplays. We developed the system which can provide the visual and haptic stimuli for supporting 3-on-3 soccer game in real-time; for visual stimuli, the position relationship of opponent players are shown, and for haptic stimuli, the position of opponent player who are in the out of view angle. Through the experiment we evaluated whether the visual and haptic stimuli can reduce the task load in a ball game. As a result, the proposed visual or haptic stimuli itself reduced the player's task load and improved the ball handling skill. On the other hand, we found that the combination of visual and haptic stimuli did not reduce the task load of player, and did not contribute to the reduction of misplay.

著者

佐藤 晃矢 岡 瑞起 橋本 康弘 加藤 和彦

出版者

The Japanese Society for Artificial Intelligence

雑誌

人工知能学会論文誌 (ISSN:13460714)

巻号頁・発行日

vol.30, no.5, pp.667-674, 2015

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Social Tagging System (STS) which is one of the content management techniques is widely adopted in the online content sharing service. Using STS, users can give any strings (tags) to contents as annotations. It is important to know the usage of tag statistics for accomplishing an effective database design and the information navigation. The frequency of tag usage as well as their dynamics are similar to the ones found in the natural language. It is possible to reproduce the branching process of the tag dynamics using a classical model called Yule-Simon process. Another characteristic aspect of tags is the tag co-occurrence generated from the simultaneous use of tags. Using the tag co-occurrence, STS is able to reconstitute the hierarchy of tags, and recommend the tag which is probably used next. However, Yule-Simon process does not consider the tag co-occurrence and thus how the tag co-occurrence is generated from the model like Yule-Simon has not been addressed yet. In this paper, we propose to expand the Yule-Simon process to model the tag co-occurrence. From the point of view of network hierarchy, we confirm the similarity in the structure of the tag co-occurrence with the empirical data obtained from a social network service called 'RoomClip'. The present result suggested that this simple model like extended Yule-Simon process generates the tag co-occurrence feature.

著者

橋本 康弘 佐藤 晃矢 岡 瑞起 池上 高志

出版者

人工知能学会

雑誌

人工知能学会全国大会論文集 (ISSN:13479881)

巻号頁・発行日

vol.31, 2017

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ソーシャルタギングシステムでは用いられたタグ(語彙)の使用数の増加が速いものから遅いものまで様々である。しかし、そのおおよその振る舞いは古典的な確率過程であるSimon過程でうまく記述できる。いま、この予測値からの逸脱をその語彙の「個性」と考えるならば、それはどのような性質を持つのか。どこに個性の起源を求めることができるのか。これらを議論する。

著者

佐藤 晃矢 岡 瑞起 橋本 康弘 加藤 和彦

出版者

一般社団法人 人工知能学会

雑誌

人工知能学会論文誌 (ISSN:13460714)

巻号頁・発行日

vol.30, no.5, pp.667-674, 2015-09-01 (Released:2015-08-27)

参考文献数

19

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Social Tagging System (STS) which is one of the content management techniques is widely adopted in the online content sharing service. Using STS, users can give any strings (tags) to contents as annotations. It is important to know the usage of tag statistics for accomplishing an effective database design and the information navigation. The frequency of tag usage as well as their dynamics are similar to the ones found in the natural language. It is possible to reproduce the branching process of the tag dynamics using a classical model called Yule-Simon process. Another characteristic aspect of tags is the tag co-occurrence generated from the simultaneous use of tags. Using the tag co-occurrence, STS is able to reconstitute the hierarchy of tags, and recommend the tag which is probably used next. However, Yule-Simon process does not consider the tag co-occurrence and thus how the tag co-occurrence is generated from the model like Yule-Simon has not been addressed yet. In this paper, we propose to expand the Yule-Simon process to model the tag co-occurrence. From the point of view of network hierarchy, we confirm the similarity in the structure of the tag co-occurrence with the empirical data obtained from a social network service called ‘RoomClip’. The present result suggested that this simple model like extended Yule-Simon process generates the tag co-occurrence feature.