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  1. NTU Theses and Dissertations Repository
  2. 管理學院
  3. 資訊管理學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/73168
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dc.contributor.advisor莊裕澤
dc.contributor.authorMuh-Tarng Linen
dc.contributor.author林睦唐zh_TW
dc.date.accessioned2021-06-17T07:20:36Z-
dc.date.available2019-07-15
dc.date.copyright2019-07-15
dc.date.issued2019
dc.date.submitted2019-07-05
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Apple. 2018. Apple ResearchKit. https://www.apple.com/researchkit/
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Apple. 2018. Apple UIKit. https://developer.apple.com/documentation/uikit
Apple. 2018. Touch Accommodations. https://support.apple.com/en-us/HT205269
Cryptic Apps. 2018. Hopper - The macOS and Linux Disassembler. https://www.hopperapp.com/
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Jeff Avery, Mark Choi, Daniel Vogel, and Edward Lank. 2014. Pinch- to-zoom-plus: An Enhanced Pinch-to-zoom That Reduces Clutching and Panning. In Proceedings of the 27th Annual ACM Symposium on User Interface Software and Technology (UIST ’14). ACM, New York, NY, USA, 595–604. https://doi.org/10.1145/2642918.2647352
Karen B. Chen, Anne B. Savage, Amrish O. Chourasia, Douglas A. Wiegmann, and Mary E. Sesto. 2013. Touch screen performance by individuals with and without motor control disabilities. Applied Ergonomics 44, 2 (2013), 297–302.
Leah Findlater, Jon E. Froehlich, Kays Fattal, Jacob O. Wobbrock, and Tanya Dastyar. 2013. Age-related Differences in Performance with Touchscreens Compared to Traditional Mouse Input. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’13). ACM, New York, NY, USA, 343–346.
Leah Findlater, Alex Jansen, Kristen Shinohara, Morgan Dixon, Peter Kamb, Joshua Rakita, and Jacob O. Wobbrock. 2010. Enhanced Area Cursors: Reducing Fine Pointing Demands for People with Motor Impairments. In Proceedings of the 23Nd Annual ACM Symposium on User Interface Software and Technology (UIST ’10). ACM, New York, NY, USA, 153–162. https://doi.org/10.1145/1866029.1866055
Leah Findlater, Karyn Mofatt, Jon E. Froehlich, Meethu Malu, and Joan Zhang. 2017. Comparing Touchscreen and Mouse Input Performance by People With and Without Upper Body Motor Impairments. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI ’17). ACM, New York, NY, USA, 6056–6061.
Google. 2018. Google Gesture Design. https://material.io/design/interaction/gestures.html
Google. 2018. Google Map. https://www.google.com/maps
Google. 2018. Google Play Store. https://play.google.com/store
Google. 2018. Touch and Hold Delay. https://support.google.com/accessibility/android/answer/6006989
Tiago Guerreiro, Hugo Nicolau, Joaquim Jorge, and Daniel Gonçalves. 2010. Towards Accessible Touch Interfaces. In Proceedings of the 12th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS ’10). ACM, New York, NY, USA, 19–26.
Eve Hoggan, John Williamson, Antti Oulasvirta, Miguel Nacenta, Per Ola Kristensson, and Anu Lehtio. 2013. Multi-touch Rotation Gestures: Performance and Ergonomics. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’13). ACM, New York, NY, USA, 3047–3050.
Curt B. Irwin and Mary E. Sesto. 2012. Performance and touch characteristics of disabled and non-disabled participants during a reciprocal tapping task using touch screen technology. Applied Ergonomics 43, 6 (2012), 1038–1043.
Masatomo Kobayashi, Atsushi Hiyama, Takahiro Miura, Chieko Asakawa, Michitaka Hirose, and Tohru Ifukube. 2011. Elderly User Evaluation of Mobile Touchscreen Interactions. In Human-Computer Interaction – INTERACT 2011 (INTERACT ’11), Pedro Campos, Nicholas Graham, Joaquim Jorge, Nuno Nunes, Philippe Palanque, and Marco Winckler (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, Germany, 83–99.
Heidi Koester, Rich Simpson, and Jennifer Mankowski. 2013. Software wizards to adjust keyboard and mouse settings for people with physical impairments. The Journal of Spinal Cord Medicine 36, 4 (Jul 2013), 300–312.
Heidi Horstmann Koester and Jennifer Mankowski. 2014. Automatic Adjustment of Mouse Settings to Improve Pointing Performance. Assistive Technology 26, 3 (2014), 119–128.
Heidi Horstmann Koester and Jennifer Mankowski. 2015. Automatic Adjustment of Keyboard Settings Can Enhance Typing. Assistive Technology 27, 3 (2015), 136–146.
Jhe-Wei Lin, Chiuan Wang, Yi Yao Huang, Kuan-Ting Chou, Hsuan-Yu Chen, Wei-Luan Tseng, and Mike Y. Chen. 2015. BackHand: Sensing Hand Gestures via Back of the Hand. In Proceedings of the 28th Annual ACM Symposium on User Interface Software & Technology (UIST ’15). ACM, New York, NY, USA, 557–564. https://doi.org/10.1145/2807442. 2807462
Alexander Mertens, Nicole Jochems, Christopher M. Schlick, Daniel Dünnebacke, and Jan Henrik Dornberg. 2010. Design Pattern TRABING: Touchscreen-based Input Technique for People Affected by Intention Tremor. In Proceedings of the 2nd ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS ’10). ACM, New York, NY, USA, 267–272.
Kyle Montague, Vicki L. Hanson, and Andy Cobley. 2012. Designing for Individuals: Usable Touch-screen Interaction Through Shared User Models. In Proceedings of the 14th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS ’12). ACM, New York, NY, USA, 151–158.
Kyle Montague, Hugo Nicolau, and Vicki L. Hanson. 2014. Motor-impaired Touchscreen Interactions in the Wild. In Proceedings of the 16th International ACM SIGACCESS Conference on Computers & Accessibility (ASSETS ’14). ACM, New York, NY, USA, 123–130.
Martez E. Mott, Radu-Daniel Vatavu, Shaun K. Kane, and Jacob O. Wobbrock. 2016. Smart Touch: Improving Touch Accuracy for People with Motor Impairments with Template Matching. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI ’16). ACM, New York, NY, USA, 1934–1946.
Maia Naftali and Leah Findlater. 2014. Accessibility in Context: Understanding the Truly Mobile Experience of Smartphone Users with Motor Impairments. In Proceedings of the 16th International ACM SIGACCESS Conference on Computers & Accessibility (ASSETS ’14). ACM, New York, NY, USA, 209–216.
Alexander Ng and Stephen Brewster. 2017. An Evaluation of Touch and Pressure-Based Scrolling and Haptic Feedback for In-Car Touchscreens. In Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI ’17). ACM, New York, NY, USA, 11–20. https://doi.org/10.1145/3122986.3122997
Francisco Nunes, Paula Alexandra Silva, João Cevada, Ana Correia Barros, and Luís Teixeira. 2016. User interface design guidelines for smartphone applications for people with Parkinson’s disease. Universal Access in the Information Society 15, 4 (Nov 2016), 659–679.
Sayan Sarcar, Jussi P.P. Jokinen, Antti Oulasvirta, Zhenxin Wang, Chaklam Silpasuwanchai, and Xiangshi Ren. 2018. Ability-Based Optimization of Touchscreen Interactions. IEEE Pervasive Computing 17, 1 (2018), 15–26.
Mary E. Sesto, Curtis B. Irwin, Karen B. Chen, Amrish O. Chourasia, and Douglas A. Wiegmann. 2012. Effect of Touch Screen Button Size and Spacing on Touch Characteristics of Users With and Without Disabilities. Human Factors 54, 3 (2012), 425–436.
Shari Trewin. 2004. Automating Accessibility: The Dynamic Keyboard. In Proceedings of the 6th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS ’04). ACM, New York, NY, USA, 71–78.
Shari Trewin, Cal Swart, and Donna Pettick. 2013. Physical Accessibility of Touchscreen Smartphones. In Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS ’13). ACM, New York, NY, USA, 19:1–19:8.
Huawei Tu, Xiangshi Ren, Feng Tian, and Feng Wang. 2014. Evaluation of Flick and Ring Scrolling on Touch-Based Smart- phones. International Journal of Human-Computer Interaction 30, 8 (2014), 643–653. https://doi.org/10.1080/10447318.2014.907017
Chat Wacharamanotham, Jan Hurtmanns, Alexander Mertens, Martin Kronenbuerger, Christopher Schlick, and Jan Borchers. 2011. Evaluating Swabbing: A Touchscreen Input Method for Elderly Users with Tremor. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’11). ACM, New York, NY, USA, 623–626.
Karl Wiegand. 2015. Impact of Motor Impairment on Full-Screen Touch Interaction. Journal on Technology and Persons with Disabilities 3, 22 (2015), 58–76.
Jian Zhao, R. William Soukoreff, and Ravin Balakrishnan. 2011. A model of multi-touch manipulation. In Proceedings of the 2nd Annual Meeting of the Graphics, Animation, and New Media (GRAND ’11). GRAND NCE, Ottawa, Ontario, Canada, 58–76.
Yi-Hao Peng, Muh-Tarng Lin, Yi Chen, TzuChuan Chen, Pin Sung Ku, Paul Taele, Chin Guan Lim and Mike Y. Chen. 2019. PersonalTouch: Improving Touchscreen Usability by Personalizing Accessibility Settings based on Individual User's Touchscreen Interaction. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI’ 19). ACM, New York, NY, USA, Paper No. 683.
Yu Zhong, Astrid Weber, Casey Burkhardt, Phil Weaver, and Jefrey P. Bigham. 2015. Enhancing Android Accessibility for Users with Hand Tremor by Reducing Fine Pointing and Steady Tapping. In Proceedings of the 12th Web for All Conference (W4A ’15). ACM, New York, NY, USA, 29:1–29:10.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/73168-
dc.description.abstract現今的觸控螢幕裝置開始在輔助使用中加入了幫助運動障礙患者的客製化設定,例如 iOS 10加入了四個觸控調節設定選項:一、按住持續時間;二、忽略重複項目;三、輕點輔助;四、輕點輔助手勢延遲,一般使用者幾乎不可能在這四個選項所組合出來的百萬種組合中找出屬於自己的最適設定。本研究提供了一個設定推薦系統,透過收集和分析各別使用者的觸控螢幕手勢輸入資料,推薦個人化觸控輔助設定。
本研究發現此此系統所推薦的設定值能夠有效提升運動障礙使用者的手勢輸入成功率,提升幅度達20.2% (N=12, p=0.00054);對於非運動障礙使用者,手勢輸入成功率也能提高1.28% (N=12, p=0.032)。
此外,我們也將本研究所使用的方法實作成應用程式供一般大眾使用,更將成果貢獻給Apple的開放原始碼專案ResearchKit。
zh_TW
dc.description.abstractModern touchscreen devices have recently introduced customizable touchscreen settings to improve accessibility for users with motor impairments. For example, iOS 10 introduced the following four Touch Accommodation settings: 1) Hold Duration, 2) Ignore Repeat, 3) Tap Assistance, and 4) Tap Assistance Gesture Delay. These four independent settings lead to a total of 1 million possible configurations, making it impractical to manually determine the optimal settings. We present a system which collects and analyzes touchscreen gestures performed by individual users, and recommends personalized, optimal touchscreen accessibility settings.
Results from our user study show that the system significantly improves touch input success rate for users with motor impairments (20.2%, N=12, p=.00054) and for users without motor impairments (1.28%, N=12, p=.032).
Furthermore, we implement an application for end users, and contribute to Apple’s open source project, ResearchKit.
en
dc.description.provenanceMade available in DSpace on 2021-06-17T07:20:36Z (GMT). No. of bitstreams: 1
ntu-108-R03725014-1.pdf: 2200287 bytes, checksum: dcc81b040a98068785bb34d26b6eb1f9 (MD5)
Previous issue date: 2019
en
dc.description.tableofcontents口試委員審定書 i
致謝 ii
中文摘要 iii
英文摘要 iv
目錄 v
圖目錄 vii
表目錄 viii
第一章 緒論 1
第二章 文獻探討 3
2.1 鍵盤與滑鼠的輔助設定 3
2.2 觸控螢幕的輔助設定 3
第三章 系統設計 6
3.1 觸控輸入任務 6
3.1.1 點擊手勢任務 7
3.1.2 長按手勢任務 7
3.1.3 掃動手勢任務 8
3.1.4 滾動手勢任務 8
3.1.5 旋轉手勢任務 9
3.1.6 縮放手勢任務 10
3.2 推薦個人化設定值 10
3.2.1 設定值模擬 11
3.2.2 輸入精準度計算 11
3.2.3 設定值推薦 14
3.3 應用程式 15
3.3.1 ResearchKit 15
3.3.2 PersonalTouch應用程式 16
第四章 使用者研究 19
4.1 研究參與者 19
4.2 研究過程 20
4.2.1 訪談 20
4.2.2 測驗 21
第五章 研究成果 22
5.1 輔助使用的認識和使用 22
5.2 有運動障礙的參與者 22
5.3 無運動障礙的參與者 24
5.4 不同手勢的辨識成功率 24
第六章 討論 25
6.1 在不同應用程式間做最佳化 25
6.2 觸控調節以外的推薦設定 25
6.3 不同障礙或是其他裝置的使用者 25
第七章 研究限制與未來展望 27
7.1 實驗環境對實驗結果的影響 27
7.2 更大規模的參與者與系統 27
7.3 真實使用情況下的手勢比例 28
第八章 結論 29
參考文獻 30
dc.language.isozh-TW
dc.subject輔助使用zh_TW
dc.subject運動障礙zh_TW
dc.subject個人化zh_TW
dc.subject觸控螢幕互動zh_TW
dc.subject手勢辨識zh_TW
dc.subjectTouchscreen Interactionen
dc.subjectMotor Impairmenten
dc.subjectPersonalizationen
dc.subjectGesture Recognizeren
dc.subjectAccessibilityen
dc.title透過個人化觸控輔助設定改善觸控螢幕手勢辨識zh_TW
dc.titleImproving Touchscreen Usability by Personalizing Accessibility Settings based on Individual User’s Touchscreen Interactionen
dc.typeThesis
dc.date.schoolyear107-2
dc.description.degree碩士
dc.contributor.coadvisor陳彥仰
dc.contributor.oralexamcommittee鄭龍磻,余能豪
dc.subject.keyword輔助使用,運動障礙,個人化,觸控螢幕互動,手勢辨識,zh_TW
dc.subject.keywordAccessibility,Motor Impairment,Personalization,Touchscreen Interaction,Gesture Recognizer,en
dc.relation.page35
dc.identifier.doi10.6342/NTU201901251
dc.rights.note有償授權
dc.date.accepted2019-07-05
dc.contributor.author-college管理學院zh_TW
dc.contributor.author-dept資訊管理學研究所zh_TW
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