IPSJ SIG Technical Report Vol.2016-ICS-183 No /3/16 1,a) 2,b) 2,c) 1,d) e- Maeda Kaoru 1,a) Yoshida Naoto 2,b) Fujiwara Kunihiko 2,c) Yonezawa T

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1 1,a) 2,b) 2,c) 1,d) e- Maeda Kaoru 1,a) Yoshida Naoto 2,b) Fujiwara Kunihiko 2,c) Yonezawa Tomoko 1,d) 1. e- [1] e- [2] e- e- 1 [4] [5] 1 Kansai University 2 Graduate School of Informatics Kansai University Japan a) k983570@kansai-u.ac.jp b) k463362@kansai-u.ac.jp c) k566804@kansai-u.ac.jp d) yone@kansai-u.ac.jp [6] e- VDT(Visual Display Terminal syndrome) [7] VDT [8] [9] [7] e- [10] e- ( ) 1

2 情報処理学会研究報告 図 2 図 1 光を用いた学習状態の提示 コメントログを用いた e-ラーニング てしまう可能性が考えられる これに対し エージェント がユーザに対して先行行動を示すことでユーザの行動意欲 を促進できる [11] ことを用い 休憩が必要なタイミングに エージェントの休憩の様子を提示することでユーザに休憩 を促す 疲労を蓄積することで学習に対する集中度が低下 することを用い ユーザの休憩が必要なタイミングの判断 に集中度の低下度合いを用いる ユーザに対して単一の行動を提示した場合 そのエー ジェントと同じ行動をとらなくてはいけないという強制感 を与える恐れがある そこで 複数のエージェントを用い て集団を構成し 学習と休憩の割合をユーザの必要性に合 図 3 集中力の推移 わせて各エージェントに割り振り ユーザが適宜行動を選 択する余地を残す 2. 関連研究 2.1 共に学習する相手がいることによる学習意欲促進 れたとした そのため 促進効果を得るためには 特定の 相手と同時に学習する必要があり e-ラーニングのメリッ トである時間 場所の制約の低さを損なう恐れがある ま た鶴岡ら [15] は リアルタイムでは無くとも相手の学習時 共に学習する存在を提示することにより ユーザの学習 の光パターンを蓄積し提示することによって学習を促進で を促す研究が存在する 澤山ら [12] は学生同士が意見を出 きるとしているが 相手が実際はリアルタイムで学習して し合いながら一つの課題に取り組む共同学習において 他 いないことをユーザが認識した場合 学習促進効果が得ら 学習者の存在が個々の学生の学習意欲を促進することに着 れなくなる可能性がある 時間同期の必要性の問題を解決 目した そこで他学習者の存在提示のために ユーザが学 するために本研究では 共に学習する相手としてエージェ 習中にコメントを残したり読んだりできる機能や 自分以 ントの集団を用いる 外の現在の学習者人数を画面中に提示する機能を e-ラー ニングに導入することで ユーザの学習意欲が促進される 2.2 エージェントを用いたユーザへの行動の促し と述べた (図 1) しかし コメントのような文字情報は意 エージェントは人に似た外観を持ち 社会的なインタラ 味理解の認知的負荷 [13] を与え 学習への集中を阻害する クションが可能であることから 人に行動を促すことがで 恐れがある きる存在として 研究がなされている 山本ら [16] は授業 学習への集中を阻害しない他学習者の存在提示として 映像配信形式の e-ラーニングにおいて 授業音声に合わせ 吉原ら [14] や鶴岡ら [15] は 遠隔地にいる他学習者の学習 てうなずきを行うエージェントを映像に重畳表示すること 状態をライトの光を用いて提示することで 学習意欲の促 によってユーザを授業に引き込む効果があったとしてい 進を試みた (図 2) このシステムを学習者同士が相互に親 る 長尾ら [11] は ユーザに対してエージェントが先行行 密な場合 片方がもう一方を慕っているがあまり接点が無 動を提示することにより その行動を促すことができると い場合 ほとんど接点が無い場合の 3 条件で利用した結果 している そこで本研究では 共に学習するエージェント 相互に親密な場合に限り 互いに光を意識する傾向が見ら 集団を e-ラーニングと同じディスプレイ上に配置すること 2016 Information Processing Society of Japan 2

3 2.3 [17] [18] [11] [19] Francesco Cirillo[20] [21] [22] [12] 4 e- FaceAPI e- [23] e- ( 4) [24] [23] e- e- ( 5) 3

4 100% ( 6) 3.5 e- VDT ( 7) web e- FaceAPI Dx MicrosoftVisualStudio2012Express C e- 1 FaceAPI (α β) (F x F y F z ) (V x V y ) V x = F x + F z tanα (1) V y = F y + F z tanβ (2)

5 7 ( ) ( ) ( ) PC e- 8) VAS p< 05 A B E F

6 9 2 2 Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9 Q ( ) (1)0%:100% (2)10%:90% (3)25%:75% (4)50%:50% (5)75%:25% (6)90%:10% (7)100%:0% 14 (1)0:14 (2)1:13 (3)4:10 (4)7:7 (5)10:4 (6)13:1 (7)14: : ( : (0%:100% 10%:90% 25%:75% 50%:50% 75%:25% 90%:10% 100%:0%) ( ) PC e- ( 9) e web (1: 2: 3: 4: 5: ) Q1 Q3 Q4 Q6 Q7 Q8 Q p< (100%) 2(90%) 3(75%) 4(50%) 5(25%) 6(10%) 7(0%) Q6 Q7 Q6() Q7( ) 1(100%)-2(90%) 6(10%)-7(0%) 1(100%)-3(75%) Q1 Q2 Q3 Q1( ) 4(50%)-7(0%) 1(100%)-4(50%) Q1 Q6 Q2 5(25%)-2(90%) 6

7 10 (MOS) 3 Q3 7(0%) 6(10%) 1(100%) 2(90%) Q2 Q3 Q7 Q4 1(100%) % Q4 Q1 Q8 Q Q6 Q7 1(100%)-2(90%) 6(10%)-7(0%) 10% 25% 1(100%)-3(75%) 2(90%)-3(75%) Q1 Q1 Q2 Q3 Q2 Q3 4 Q1 Q6 Q2 Q3 Q7 7

8 Q4 Q4 1(100%) 2(90%) 2 Q4 Q1 Q4 Q1 Q8 Q9 5. e- 15H [1] e [2] SATT e- jp/dev/elearning htm [3] e-learning 12 pp [4] [5] [6] / 2002 [7] VDT 76 4ZA [8] VDT html 2002 [9] Ellis A Knaus,WJ.Overcoming procrastination.new York.Institute for Rational Living.1977 [10] 2011 [11] p [12] e- pp [13] pp [14] Enlight-Pen: ( ) 2003 [15] The 29th Annual Conference of the Japanese Society for Artificial Intelligence 1N [16] Vol47 No7 pp [17] The 28th Annual Conference of the Japanese Society for Artificial Intelligence 2L5-OS-27b [18] Solomon E.Asch.Effects of group pressure upon the modification and distortion of judgements.documents of Gestalt Psychology 1951 [19] Kou Murayama,Madoka Matsumoto,Keise Izuma,Ayaka Sugiura,Richard M Ryan,Edward L Deci and Kenji Matsumoto.How Self-Determined Choice FacilitatesPerformance:A Key Role of the Ventromedial Prefrontal Cortex 2013 [20] FrancescoCirillo,ThePomadona Technique, ucsd edu/downloads/tx forms/koch/pomodoro handouts/thepomodorot 3 pdf 2009 [21] PHP 2012 [22] VDT Vol 19 No2 pp [23] e-learning The 22nd Annual Conference of the Japanese Society for Artificial Intelligence 1C [24] 9 RB

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