IPSJ SIG Technical Report Vol.2017-HCI-172 No /3/6 AirMeet : 1,a) 2 AirMeet Web 1. ( ) [1] SNS Web [2] [3] Web [4] [5] Web Web [6] [7] 1 Gradua
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1 AirMeet :,a) AirMeet Web. () [] SNS Web [] []Web [4] [5] Web Web [6] [7] Graduate School of Systems and Information Engineering, University Of Tsukuba,Tsukuba,Ibaraki ,Japan Facility Of Engineering,Information and System, University Of Tsukuba,Tsukuba,Ibaraki ,Japan a) SNS [] Meetup * [9] SNS Web 0 [0] 55.5% * c 07 Information Processing Society of Japan
2 Fig. System summary AirMeetAirMeet Web McCarthy [] RFID [] Facebook SNS c 07 Information Processing Society of Japan
3 . IntelliBadge [] RFID. AirMeet SNS : : :. () () Fig. System configuration. MEET () () () (4) (5) MEET.4 MEET () () c 07 Information Processing Society of Japan
4 情報処理学会研究報告 (a)イベント情報入力画面 (b)イベント情報受信画面 (c)個人情報入力画面 図 (d)参加者一覧画面 (e)参加者詳細画面 システム画面 Fig. System screen 4. 実装内容 報を受信する画面であり ユーザがイベントの会場内にい ると判定された時のみ受信する (c) は (b) のイベントを 本システムは ios スマートフォンアプリケーションとし タップすることで遷移する個人情報入力画面であり 会場 て実装した 実装したシステムの構成とシステム画面につ 内で共有する個人情報を入力することやつながりを作るた いて述べる めに活用される Facebook 連携を行うことができる なお 懇親会は開催前後を含め時間的制約が大きいことを考慮し 4. システム構成 実装したシステムの構成を図 に示し 番号に添って説 明を加える て 開催前に個人情報を入力してアプリケーション内に保 存しておくこともできる (d) は他の参加者のプロフィー ル情報を閲覧できる画面である 参加者の情報が記されて [] 主催者が所持する端末から HTTP 通信により会場情 いるカード型のインターフェースは実世界のネームプレー 報の登録を行う [] 主催者の端末は参加者が会場内にいる トを意識している また 参加者の顔画像に加え参加者の かを Bluetooth Low Energy と位置情報を用いて特定の 個性を視覚的に表すヘッダー画像を入力してもらうことに 場所に近づいたり離れたりしたことを検知するビーコン通 より 他の参加者がコミュニケーションを交わしたいと思 信により判定する役割を担う ビーコン通信は 主催者の う相手の発見の手助けとなると考える (e) は (d) のカー 端末から半径約 50m 以内にある参加者の端末を検知する ド型インターフェースをタップすることで遷移する参加者 [] 参加者は会場内にいると判定された時 HTTP 通信に 詳細画面であり 相手にプロフィール情報の交換を申し出 より会場情報の受信や個人情報の共有 交換を行う [4] 会 る MEET リクエストを送ることやリクエストを承認して 場内にいないと判定された時には通信を切断し サーバ側 プロフィール情報を交換することができる MEET 機能が のデータベースから個人情報を消去する [5] 交換を行っ 備わっている た情報はクライアント側のデータベースに保存される な 5. 評価実験の方法 おデータベースは サーバー側は mysql クライアント側 は ios の UserDefaults と CoreData を用いて実装した 本章では アプリケーションの有用性を評価する運用実 験の方法と結果について述べる アプリケーションの有用 4. システム画面 実装したシステム画面を図 に示し 画面に添って説明 を加える なお 情報は架空のものを入力している (a) は主催者がイベント情報を入力する画面であり 主 催者が共有する項目を既存のものから選択するか新しく追 加することにより設定できる (b) は参加者がイベント情 07 Information Processing Society of Japan 性を評価することで 懇親会の会場内に限定して情報を共 有することで参加者が Web 上に公開していない個人情報 の共有を促進できるかと 懇親会の目的に応じたその場そ の時に共有すべき個人情報を共有することで実世界でのコ ミュニケーション支援となるかについて検証する なお 本実験は筑波大学大学院システム情報系の研究倫 4
5 0 [A]. 利 状況 [B].MEET 承認 送信 % 90% 0% 70% 60% 50% 40% 0% 0% 0% 0% [C-]. 項 別 率 44 中 未 % 90% 0% 70% 60% 50% 40% 0% 0% 0% 0% [C-]. 項 別 率 9 中 未 Fig. 4 Survey results : System usage 06R 5.. ISS WISS ipad Air // 5. ( ) : Web ( ) : ( ) : Web [A] 6 ios MEET 4 [B] MEET 6 c 07 Information Processing Society of Japan 5
6 [D].Web 上での公開範囲と AirMeet での 状況の項 別 較 公開 / 限定的公開 公開 / 未 なし の顔画像 名前 紹介 所属する会社 / 学校名 Web AirMeet % 0% 40% 60% 0% 00% 0% 0% 40% 60% 0% 00% 0% 0% 40% 60% 0% 00% 0% 0% 40% 60% 0% 00% 役職 / 学年 研究分野 発表タイトル 持ちネタ プログラミング 語 Web AirMeet % 0% 40% 60% 0% 00% 0% 0% 40% 60% 0% 00% 0% 0% 40% 60% 0% 00% 0% 0% 40% 60% 0% 00% 0% 0% 40% 60% 0% 00% 5 Fig. 5 Survey results : Can promote the sharing of personal information through information sharing was limited at the social gathering? [C-][C-] 5% / 90% 50% ,. 9 6 Web Web 5 Web Web Web Web 6.4 [E][F] [E] 9 7 c 07 Information Processing Society of Japan 6
7 [E]. 話しかけることができたか 今回の懇親会で話しかけた 数 アプリ上の情報を て話しかけたいと思った 数 アプリをきっかけとして話しかけた 数 A B C D E F G H I [F]. つながりを作ることができたか 今回の懇親会でつながりを作った 数 アプリを いてつながりを作った 数 [ 評価者 ] A B C D E F G H I [ 評価者 ] Fig. 6 6 Survey results : Can support communication by sharing personal information according to the purpose of the social gathering? / Web AirMeet / A. B C 6.4. SNS Figure 6 [F] Facebook Facebook MEET MEET 6.5 c 07 Information Processing Society of Japan 7
8 7. AirMeet Web Web. pp.69-74, 00. [4] Hannon, John and Bennett, Mike and Smyth, Barry. Recommending Twitter Users to Follow Using Content and Collaborative Filtering Approaches. Proceedings of the Fourth ACM Conference on Recommender Systems, pp , 00. [5] Scott Golder, Sarita Yardi. Structural predictors of tie formation in Twitter: transitivity and mutuality. Proceedings of the Second IEEE International Conference on Social Computing, pp. -95, 00. [6] Ishii Kenichi, Wu Chyi-In. A Comparative Study of Media Cultures Among Taiwanese and Japanese Youth. Telemat. Inf.,Vol., No., pp. 95-6, 006. [7],,,.., Vol.4, pp.06-06, 004. [] Mark S. Granovetter. The Strength of Weak Ties. American Journal of Sociology 7, no. 6, pp. 60-0, 969. [9],,.. HCI, 05-HCI-6, 6, pp. -, 05. [0].. [] Joseph F. McCarthy, David W. McDonald, Suzanne Soroczak, David H. Nguyen, Al M. Rashid. Augmenting the social space of an academic conference. Proceedings of the 004 ACM Conference on Computer Supported Cooperative Work, pp. 9-4, 004. [],..,, (DICOMO0), pp. 56-6, 0. [] Donna Cox, Volodymyr Kindratenko, David Pointer. IntelliBadge: Towards Providing Location-Aware Value- Added Services at Academic Conferences. In UbiComp 00, Vol. 64 of Lecture Notes in Computer Science, pp. 64-0, 00. [] James S. Coleman. Foundations of Social Theory. Belknap Press of Harvard University Press, 990. [] Nicole B. Ellison, Charles Steinfield, Cliff Lampe. The Benefits of FacebookFriends:Social Capital and College StudentsUse of Online Social Network Sites. Journal of Computer-Mediated Communication Vol., Issue 4, pp.4-6, 007. [] Raacke J, Bonds-Raacke J. MySpace and Facebook: applying the uses and gratifications theory to exploring friend-networking sites. Cyberpsychol Behav, (), c 07 Information Processing Society of Japan
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