請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/50801
完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 陳彥仰(Mike Y. Chen) | |
dc.contributor.author | Yuan-Fu Shao | en |
dc.contributor.author | 邵元輔 | zh_TW |
dc.date.accessioned | 2021-06-15T12:59:12Z | - |
dc.date.available | 2016-07-26 | |
dc.date.copyright | 2016-07-26 | |
dc.date.issued | 2016 | |
dc.date.submitted | 2016-07-12 | |
dc.identifier.citation | [1] J. Accot and S. Zhai. More than dotting the i’s—foundations for crossing-based interfaces. In Proceedings of the SIGCHI conference on Human factors in computing systems, pages 73–80. ACM, 2002.
[2] C. Amma, D. Gehrig, and T. Schultz. Airwriting recognition using wearable motion sensors. In Proceedings of the 1st Augmented Human International Conference, AH ’10, pages 10:1–10:8, New York, NY, USA, 2010. ACM. [3] S. K. Card, T. P. Moran, and A. Newell. The keystroke-level model for user perfor- mance time with interactive systems. Communications of the ACM, 23(7):396–410, 1980. [4] X. A. Chen, T. Grossman, and G. Fitzmaurice. Swipeboard: A text entry technique for ultra-small interfaces that supports novice to expert transitions. In Proceedings of the 27th Annual ACM Symposium on User Interface Software and Technology, UIST ’14, pages 615–620, New York, NY, USA, 2014. ACM. [5] Exideas. Messageease, 2015. Official Site https://www.exideas.com/ME/index. php. [6] FlickKey. Flickkey keyboard, 2010-2014. Official Site http://www.flickkey.com. [7] M. Funk, A. Sahami, N. Henze, and A. Schmidt. Using a touch-sensitive wristband for text entry on smart watches. In CHI ’14 Extended Abstracts on Human Factors in Computing Systems, CHI EA ’14, pages 2305–2310, New York, NY, USA, 2014. ACM. [8] M.Goldstein,R.Book,G.Alsio,andS.Tessa.Non-keyboardqwertytouchtyping:a portable input interface for the mobile user. In Proceedings of the SIGCHI conference on Human Factors in Computing Systems, pages 32–39. ACM, 1999. [9] N. Green, J. Kruger, C. Faldu, and R. St Amant. A reduced qwerty keyboard for mobile text entry. In CHI’04 extended abstracts on Human factors in computing systems, pages 1429–1432. ACM, 2004. [10] J. Hong, S. Heo, P. Isokoski, and G. Lee. Splitboard: A simple split soft keyboard for wristwatch-sized touch screens. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, CHI ’15, pages 1233–1236, New York, NY, USA, 2015. ACM. [11] C. L. James and K. M. Reischel. Text input for mobile devices: Comparing model prediction to actual performance. In Proceedings of the SIGCHI Conference on Hu- man Factors in Computing Systems, CHI ’01, pages 365–371, New York, NY, USA, 2001. ACM. [12] J. Jiang, W. Jeng, and D. He. How do users respond to voice input errors?: lexi- cal and phonetic query reformulation in voice search. In Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval, pages 143–152. ACM, 2013. [13] J. H. Kim, L. Aulck, O. Thamsuwan, M. C. Bartha, and P. W. Johnson. The effect of key size of touch screen virtual keyboards on productivity, usability, and typing biomechanics. Human Factors: The Journal of the Human Factors and Ergonomics Society, 56(7):1235–1248, 2014. [14] A. Komninos and M. Dunlop. Text input on a smart watch. Pervasive Computing, IEEE, 13(4):50–58, 2014. [15] P.-O. Kristensson and S. Zhai. Shark 2: a large vocabulary shorthand writing system for pen-based computers. In Proceedings of the 17th annual ACM symposium on User interface software and technology, pages 43–52. ACM, 2004. [16] S. Lee and S. Zhai. The performance of touch screen soft buttons. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI ’09, pages 309–318, New York, NY, USA, 2009. ACM. [17] L. A. Leiva, A. Sahami, A. Catala, N. Henze, and A. Schmidt. Text entry on tiny qwerty soft keyboards. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, CHI ’15, pages 669–678, New York, NY, USA, 2015. ACM. [18] F. C. Y. Li, R. T. Guy, K. Yatani, and K. N. Truong. The 1line keyboard: A qwerty layout in a single line. In Proceedings of the 24th Annual ACM Symposium on User Interface Software and Technology, UIST ’11, pages 461–470, New York, NY, USA, 2011. ACM. [19] K. Lyons, T. Starner, D. Plaisted, J. Fusia, A. Lyons, A. Drew, and E. W. Looney. Twiddler typing: One-handed chording text entry for mobile phones. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI ’04, pages 671–678, New York, NY, USA, 2004. ACM. [20] I. S. MacKenzie and R. W. Soukoreff. Text entry for mobile computing: Models and methods,theory and practice. Human–Computer Interaction, 17(2-3):147–198, 2002. [21] I. S. MacKenzie and R. W. Soukoreff. Phrase sets for evaluating text entry tech- niques. In CHI ’03 Extended Abstracts on Human Factors in Computing Systems, CHI EA ’03, pages 754–755, New York, NY, USA, 2003. ACM. [22] I. S. MacKenzie and S. X. Zhang. The design and evaluation of a high-performance soft keyboard. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI ’99, pages 25–31, New York, NY, USA, 1999. ACM. [23] A. Markussen, M. R. Jakobsen, and K. Hornbak. Vulture: A mid-air word-gesture keyboard. In Proceedings of the 32Nd Annual ACM Conference on Human Factors in Computing Systems, CHI ’14, pages 1073–1082, New York, NY, USA, 2014. ACM. [24] Microsoft. Microsoft band, 2016. Official Site https://www.microsoft.com/ microsoft-band/. [25] D. A. Norman and D. Fisher. Why alphabetic keyboards are not easy to use: Key- board layout doesn’t much matter. Human Factors: The Journal of the Human Factors and Ergonomics Society, 24(5):509–519, 1982. [26] Nuance. T9, 2016. [27] S. Oney, C. Harrison, A. Ogan, and J. Wiese. Zoomboard: A diminutive qwerty soft keyboard using iterative zooming for ultra-small devices. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI ’13, pages 2799–2802, New York, NY, USA, 2013. ACM. [28] P. Parhi, A. K. Karlson, and B. B. Bederson. Target size study for one-handed thumb use on small touchscreen devices. In Proceedings of the 8th Conference on Human- computer Interaction with Mobile Devices and Services, MobileHCI ’06, pages 203– 210, New York, NY, USA, 2006. ACM. [29] K. Partridge, S. Chatterjee, V. Sazawal, G. Borriello, and R. Want. Tilttype: Accelerometer-supported text entry for very small devices. In Proceedings of the 15th Annual ACM Symposium on User Interface Software and Technology, UIST ’02, pages 201–204, New York, NY, USA, 2002. ACM. [30] R. Plamondon and A. M. Alimi. Speed/accuracy trade-offs in target-directed move- ments. Behavioral and Brain Sciences, 20:279–303, 6 1997. [31] S. Primorac and M. Russo. Android application for sending sms messages with speech recognition interface. In MIPRO, 2012 Proceedings of the 35th International Convention, pages 1763–1767, May 2012. [32] R.Rawassizadeh,B.A.Price,andM.Petre.Wearables:Hastheageofsmartwatches finally arrived? Communications of the ACM, 58(1):45–47, 2015. [33] M. Romano, L. Paolino, G. Tortora, and G. Vitiello. The tap and slide keyboard: A new interaction method for mobile device text entry. International Journal of Human-Computer Interaction, 30(12):935–945, 2014. [34] A. Sears, D. Revis, J. Swatski, R. Crittenden, and B. Shneiderman. Investigating touchscreen typing: the effect of keyboard size on typing speed. Behaviour & Infor- mation Technology, 12(1):17–22, 1993. [35] H.Thimbleby.Affordanceandsymmetry.InC.Johnson,editor,InteractiveSystems: Design, Specification, and Verification, volume 2220 of Lecture Notes in Computer Science, pages 199–217. Springer Berlin Heidelberg, 2001. [36] H. Thimbleby. Symmetry for successful interactive systems. In Proceedings of the SIGCHI-NZ Symposium on Computer-Human Interaction, CHINZ ’02, pages 1–9, New York, NY, USA, 2002. ACM. [37] K. Vertanen and P. O. Kristensson. Parakeet: A continuous speech recognition sys- tem for mobile touch-screen devices. In Proceedings of the 14th International Con- ference on Intelligent User Interfaces, IUI ’09, pages 237–246, New York, NY, USA, 2009. ACM. [38] K. Vertanen, H. Memmi, J. Emge, S. Reyal, and P. O. Kristensson. Velocitap: In- vestigating fast mobile text entry using sentence-based decoding of touchscreen key- board input. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, pages 659–668. ACM, 2015. [39] S. Zhai, J. Kong, and X. Ren. Speed–accuracy tradeoff in fitts’law tasks—on the equivalency of actual and nominal pointing precision. International journal of human-computer studies, 61(6):823–856, 2004. [40] S. Zhai and P. O. Kristensson. The word-gesture keyboard: reimagining keyboard interaction. Communications of the ACM, 55(9):91–101, 2012. [41] S. Zhai, P. O. Kristensson, P. Gong, M. Greiner, S. A. Peng, L. M. Liu, and A. Dun- nigan. Shapewriter on the iphone: from the laboratory to the real world. In CHI’09 Extended Abstracts on Human Factors in Computing Systems, pages 2667–2670. ACM, 2009. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/50801 | - |
dc.description.abstract | 智慧手錶的興起,使得在小螢幕上的文字輸入成為了一個重要的研 究問題。由於智慧手錶的螢幕太小,所以在螢幕上做物件選擇或互動 時會產生相當的問題。在鍵盤設計上就必須要考慮不同的輸入方式, 提供較好的使用者體驗及輸入速度。在這篇論文研究中,我們提出 SwipeKey,使用滑動方向或點擊區分單一按鈕上的不同手勢,以在同 一個按鈕上產生多個字母的輸入可能。我們在這篇研究中考慮了一個 完整的設計流程,對智慧手錶的鍵盤設計提出了一套指導原則。並且 透過一系列的實驗,找出鍵盤參數的限制,最後提出合適的鍵盤設計。 接著將 SwipeKey 實際與過去的研究設計作比較實驗,結果顯示我們的 設計不管是在輸入速度 (WPM 增加 53%) 或是輸入錯誤率 (CER 從 10% 減少至 3.4%) 都有顯著的改進。而在使用者的體驗上,不管是在學習 困難度及使用偏好上都優於過去的方法。 | zh_TW |
dc.description.abstract | The rise of smartwatches calls for efficient, convenient and suitable text input methods for these small computers. The minuscule size of these screens brings many challenges on how to interact with these devices. Keyboard de- sign requires optimization for these small screens to provide a good user expe- rience and fast text entry method on these devices. We introduce SwipeKey, a text input method that uses swipe directions to allow multiple inputs per but- ton and thus allows for an increase in the effective size of input buttons. We have conducted thorough experiments optimizing SwipeKey to create a fast, low-error, and easy to learn soft keyboard for smartwatches. These benefits result from having a keyboard that emphasizes the use of swipe motions. Our user study results show that with a specific combination of swipe directions and corresponding button size, SwipeKey users achieved a speed of 11 in words per minute (WPM), a 53% improvement from baseline (7.2 in WPM) and dramatically decreased character error rate (CER) from the baseline of 10% down to 3.4%. | en |
dc.description.provenance | Made available in DSpace on 2021-06-15T12:59:12Z (GMT). No. of bitstreams: 1 ntu-105-R02922083-1.pdf: 13644224 bytes, checksum: 1d2bf7ba527e58de0aac11c9f0be2cbc (MD5) Previous issue date: 2016 | en |
dc.description.tableofcontents | 誌謝 i
Acknowledgements ii 摘要 iii Abstract iv 1 Introduction 1 2 Related Work 4 2.1 VoiceInput ................................. 4 2.2 SoftwareKeyboard ............................. 4 2.2.1 AmbiguousKeyboard ....................... 5 2.2.2 WordGestureKeyboard ...................... 5 2.2.3 VelociTap.............................. 5 2.2.4 MicrosoftBand........................... 6 2.2.5 ZoomBoard............................. 6 2.2.6 Swipeboard............................. 6 2.2.7 FlickKey .............................. 7 2.2.8 MessagEase............................. 7 3 Design Considerations 9 4 User Study: Designing SwipeKey 12 4.1 ButtonShape ................................ 13 4.2 ButtonSize ................................. 14 4.3 SwipeDirectionsperButton ........................ 16 4.4 ButtonLayout................................ 18 4.5 CharacterArrangement........................... 20 5 User Study: SwipeKey prototype implemented on an Android Smartwatch 23 5.1 Participants ................................. 24 5.2 Task..................................... 24 5.3 ResultandDiscussion............................ 25 5.3.1 TextEntrySpeed.......................... 25 5.3.2 ErrorRate.............................. 27 5.3.3 UserSurvey............................. 28 6 Limitation and Conclusion 30 Bibliography 32 | |
dc.language.iso | en | |
dc.title | SwipeKey: 以 swipe 為基礎在智慧手錶上的文字輸入方式 | zh_TW |
dc.title | SwipeKey: A Swipe-based Keyboard Design For Smartwatches | en |
dc.type | Thesis | |
dc.date.schoolyear | 104-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 余能豪(Neng-Hao Yu),唐玄輝(Hsien-Hui Tang) | |
dc.subject.keyword | 輸入法,智慧手錶,行動裝置,鍵盤設計,手勢輸入, | zh_TW |
dc.subject.keyword | Text entry,input,smartwatch,SwipeKey,keyboard design, | en |
dc.relation.page | 37 | |
dc.identifier.doi | 10.6342/NTU201600310 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2016-07-13 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 資訊工程學研究所 | zh_TW |
顯示於系所單位: | 資訊工程學系 |
文件中的檔案:
檔案 | 大小 | 格式 | |
---|---|---|---|
ntu-105-1.pdf 目前未授權公開取用 | 13.32 MB | Adobe PDF |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。