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1 25

2 Android

3 Z i

4 (a) (b) (c) ii

5 1.3.1 Docomo % (1-4) (5,6) Z Z iii

6 % [1] SNS PC 1.2 [2] [3][4] 1

7 1.3 NTT [5] [6] ON OFF OFF ON OFF ON 2

8 1.3.1: Docomo

9

10 2 2.1 Web OFF 2.2 Web ( 2.2.1) 2 5

11 いるのでこのまま移動しながら情報を得たい といったシチュエーションに対して有効であ る また 急いでいるが どうしても情報を得たいというわけでない といった場合を考慮 し 自動で音声読み上げを行うのではなく ユーザに対して音声読み上げをするかまたはし ないか選択することができるようにする これらを組み合わせることで ユーザが無理なく ながらスマートフォン をやめることができ 対話的に代替操作として音声読み上げ機能を 提示して最終的にユーザの ながらスマートフォン 状態を抑止することができる 図 2.2.1: 透明度 40%の警告レイヤの表示例 6

12

13 3.2.1: 8

14 S S S N N N 9

15 4 4.1 Android Android AquesTalk TTS[7] 4.2 Android Xperia Z1 SO-01F Android Studio Android4.0 Java

16 4.3.1: 11

17 4.3.2: 12

18 % 80% 60% 40% 20% 10% 4.3.3(a) 4.3.3(b) 4.3.3(c) 4.3.3(d) 4.3.4(a) 4.3.4(b) 6 SNS 4.3.3(a) Web 4.3.3(b) 4.3.3(c) 4.3.3(a) (a) 4.3.4(b) TextToSpeech 13

19 (a) 検知段階 1 透明度 100 (b) 検知段階 2 透明度 80 (c) 検知段階 3 透明度 60 (d) 検知段階 4 透明度 40 図 4.3.3: 検知段階と対応する警告レイヤの透明度 (1-4) 14

20 (a) 検知段階 5 透明度 20 (b) 検知段階 6 透明度 10 図 4.3.4: 検知段階と対応する警告レイヤの透明度 (5,6) 図 4.3.5: 音声読み上げを促す画面 15

21 4.4 X Y Z Z Y Z Y ms Z F Z F cos Y 16

22 4.4.1: Z W S N ( N = 100 ) N Y Y S Y S Y AV R Ni=1 Y si Y AV R = N 1G Y 9.8 Y AV R (4.1) T Y RAD = Y AV R 9.8 (4.2) T = C cos(y RAD ) + α (4.3) C α 3 C=1.25 α= Z [8] Z 17

23 W S N ( N = 100 ) N Z Z S W S Z Z AV R Z AV R = Ni=1 Z si N (4.4) Z S Z AV R Z Z NAT Z NAT k = Z Sk Z AV R (1 k N) (4.5) Z Z Z ( 4.4.2) 100 Z

24 4.4.2: 2 Z 19

25 Android ( 5.1.1(a)) % ( 5.1.1(b)) 3. ( 5.1.1(c)) 4. ( 5.1.1(d)) 20

26 (a) 手法 1 (b) 手法 2 (c) 手法 3 (d) 手法 4 図 5.1.1: 実験で用いた 4 種のフィードバック手法 21

27 (a) (b) (c) / 2 7 (a) (b) (c) 4 22

28 (a) (b) (c) : Android (a) 6.75 (b) 1.25 (c)

29 2 10 0% (a) 2.25 (b) 6.00 (c) (a) 4.00 (b) 4.00 (c) (a) 5.00 (b) 4.67 (c)

30 SNS 4 25

31 6 6.1 [9] Majumder iprevention[10] iprevention David CrashAlert[11] Kinect Wang WalkSafe[12] Android 26

32 6.2 [6] OFF [13] GPS

33 7 28

34 NEC ( ) 29

35 [1] R&D. / (accessed December 22, 2013) [2]. (accessed January 16, 2014) [3] - MSN. (accessed January 16, 2014) [4] -. (accessed January 16, 2014) [5] : NTT. release/2013/12/03 00.html, (accessed December 22, 2013) [6] :, Vol.2012-CSEC-56 No.28 pp [7] AquesTalk TTS - Google Play Android. quest.aquestalka&hl=ja, (accessed December 26, 2013) [8] : 3,, USN,, Vol. 108, No. 238, pp , 2008 [9] :, Vol.2013-MBL-67 No 5 pp [10] Majumder, Akm Jahangir Alam and Rahman, Farzana and Zerin, Ishmat and Ebel,Jr., William and Ahamed, Sheikh Iqbal: iprevention: Towards a Novel Real-time Smartphone-based Fall 30

36 Prevention System, SAC 13 Proceedings of the 28th Annual ACM Symposium on Applied Computing, pp , 2013 [11] Hincapié-Ramos, Juan David and Irani, Pourang: CrashAlert: Enhancing Peripheral Alertness for Eyes-busy Mobile Interaction While Walking, CHI 13 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp , 2013 [12] Wang, Tianyu and Cardone, Giuseppe and Corradi, Antonio and Torresani, Lorenzo and Campbell, Andrew T: WalkSafe: A Pedestrian Safety App for Mobile Phone Users Who Walk and Talk While Crossing Roads, HotMobile 12 Proceedings of the Twelfth Workshop on Mobile Computing Systems &; Applications, pp. 1-6, 2012 [13] : : vol.50 No.1 pp ,

情 報 処 理 学 会 インタラクション 2. Wang [4] Klaus [5] En [6] LRF Laser Range Finder [7] [8] LRF Juan [9] CrashAlert Kinect 3. 1 Fig. 2 2 1 Fig. 1 System Overview

情 報 処 理 学 会 インタラクション 2. Wang [4] Klaus [5] En [6] LRF Laser Range Finder [7] [8] LRF Juan [9] CrashAlert Kinect 3. 1 Fig. 2 2 1 Fig. 1 System Overview 情 報 処 理 学 会 インタラクション 1,a) 2,b) 2,c) Proposal of Safe-Walking Support System for Texting While Walking Using a Time-of-Flight Range Image Sensor Kodama Sho 1,a) Enokibori Yu 2,b) Mase Kenji 2,c) Abstract:

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