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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 陳彥仰(Mike Y. Chen) | |
| dc.contributor.author | Miao-En Chien | en |
| dc.contributor.author | 簡妙恩 | zh_TW |
| dc.date.accessioned | 2021-06-07T23:53:45Z | - |
| dc.date.copyright | 2013-10-23 | |
| dc.date.issued | 2013 | |
| dc.date.submitted | 2013-10-15 | |
| dc.identifier.citation | [1] M. B. A., W. J. O., Y. Sunny, B. Yeung, N. Jeffrey, and M. Robert. Using handhelds
to help people with motor impairments. In Proc. ASSETS 2002, pages 89–96, 2002. [2] W. Aileen, W. Nef, B. Krishna, and H. Scott. Making computers easier for older adults to use: area cursors and sticky icons. In Proc. CHI 1997, pages 266–271. ACM, 1997. [3] P. Biswas and P. Langdon. Developing multimodal adaptation algorithm for mobility impaired users by evaluating their hand strength. Int. J. Hum. Comput. Interaction, pages 576–596, 2012. [4] S. N. Duff, C. B. Irwin, J. L. Skye, M. E. Sesto, and D. A. Wiegmann. The effect of disability and approach on touch screen performance during a number entry task. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, pages 566–570, 2010. [5] L. Findlater, J. E. Froehlich, K. Fattal, J. O. Wobbrock, and T. Dastyar. Age-related differences in performance with touchscreens compared to traditional mouse input. In Proc. CHI 2013, CHI ’13, pages 343–346. ACM, 2013. [6] J. Froehlich, J. O. Wobbrock, and S. K. Kane. Barrier pointing: using physical edges to assist target acquisition on mobile device touch screens. In Proc. Assets 2007, pages 19–26. ACM, 2007. [7] S. Guarionex and H. J. Pablo. Pointassist: assisting individuals with motor impairments. In Proc. CHI 2013, pages 1213–1222. ACM, 2013. 31 [8] J. P. Hourcade, C. M. Nguyen, K. B. Perry, and N. L. Denburg. Pointassist for older adults: analyzing sub-movement characteristics to aid in pointing tasks. In Proc. CHI 2010, pages 1115–1124. ACM, 2010. [9] M. Karyn and M. Joanna. Steadied-bubbles: combining techniques to address penbased pointing errors for younger and older adults. In Proc. CHI 2010, pages 1125– 1134. ACM, 2010. [10] S. Lee and S. Zhai. The performance of touch screen soft buttons. In Proc. CHI 2009, CHI ’09. ACM, 2009. [11] A. Lisa, K. YooJin, and F. Leah. Analyzing user-generated youtube videos to understand touchscreen use by people with motor impairments. In Proc. CHI 2013, pages 1223–1232. ACM, 2013. [12] K. C. Madathil, R. Koikkara, A. K. Gramopadhye, and J. S. Greenstein. An empirical study of the usability of consenting systems: ipad, touchscreen and paper-based systems. In Porc. HFES 2011, pages 813–817. SAGE, 2011. [13] A. Mertens, N. Jochems, C. M. Schlick, D. Dünnebacke, and J. H. Dornberg. Design pattern trabing: touchscreen-based input technique for people affected by intention tremor. In Proc. CHI 2010, pages 267–272. ACM, 2010. [14] K. Montague, V. L. Hanson, and A. Cobley. Designing for individuals: usable touchscreen interaction through shared user models. In Proc. ASSETS 2012, pages 151– 158. ACM, 2012. [15] W. J. O. and G. K. Z. Goal crossing with mice and trackballs for people with motor impairments: Performance, submovements, and design directions. ACM Trans. Access. Comput., pages 4:1–4:37, 2008. [16] K. B. Perry and J. P. Hourcade. Evaluating one handed thumb tapping on mobile touchscreen devices. In Proc. GI 2008, GI ’08, pages 57–64. Canadian Information Processing Society, 2008. 32 [17] T. Shari, K. Simeon, and M. Karyn. Developing steady clicks:: a method of cursor assistance for people with motor impairments. In Proc. ACCESS 2006, pages 26–33. ACM, 2006. [18] G. Tiago, N. Hugo, J. Joaquim, and D. Goncalves. Towards accessible touch interfaces. In Proc. ASSETS 2010, pages 19–26. ACM, 2010. [19] G. Tovi and B. Ravin. The bubble cursor: enhancing target acquisition by dynamic resizing of the cursor’s activation area. In Proc. CHI 2005, pages 281–290. ACM, 2005. [20] C. Wacharamanotham, J. Hurtmanns, A. Mertens, M. Kronenbuerger, C. Schlick, and J. Borchers. Evaluating swabbing: a touchscreen input method for elderly users with tremor. In Proc. CHI 2011, pages 623–626. ACM, 2011. [21] J. O. Wobbrock, B. A. Myers, and J. A. Kembel. Edgewrite: a stylus-based text entry method designed for high accuracy and stability of motion. In Proc. UIST 2003, pages 61–70. ACM, 2003. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/17028 | - |
| dc.description.abstract | 觸控螢幕裝置-如iPad已成為市場新主流，擁有比電腦更高的可攜性，以觸控螢幕取代實體按鍵，可用來查看電子郵件、閱讀雜誌、傳送訊息、瀏覽網頁，還有超過30萬個應用App，提供學習、娛樂、等實用工具。為提升觸控平板對於有動作技能障礙人士之易用性，本研究針對觸控平板裝置之核心控制手勢，招募15位腦性麻痺受試者記錄與分析其操作動作，發現有69%的錯誤來自於點按後的觸控點移動，導致系統的誤判。本研究提出TapAssist，透過個人化的系統參數調整，改善動作技能障礙人士之平板易用性。研究結果指出相較於iPad內建之手勢辨識機制，TapAssist顯著改善點按時的正確辨識率。 | zh_TW |
| dc.description.abstract | Although touchscreens may require less physical demand than physical buttons and offer faster input compared to mouse, trackball, and stylus for people with motor impairments, many usability challenges remain. Our user study with 15 participants with Cerebral Palsy showed that most significant source of tapping errors was due to the system's gesture recognizer incorrectly recognizing tapping as scrolling (69%), followed by the participants missing the targets (49%).
We present TapAssist, which personalizes touchscreen settings for individuals with motor skill impairments to improve tapping performance. TapAssist adapts gesture recognizer settings to an individual by measuring the distance of un-intended movements when tapping, called touch slop. It then adjusts the touch slop threshold to improve the recognition of tapping and scrolling. Study results showed that TapAssist significantly improved tapping recognition rate by a factor of 2 (from 45% to 90%) and the overall tapping success rate by a factor of 2.25 (from 20% to 45%) compared to iPad's gesture recognizer. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-07T23:53:45Z (GMT). No. of bitstreams: 1 ntu-102-R00944028-1.pdf: 3876635 bytes, checksum: 133d9717b8aea75126f3d5f107ec621a (MD5) Previous issue date: 2013 | en |
| dc.description.tableofcontents | 口試委員會審定書iii
誌謝v 摘要vii Abstract ix 1 Introduction 1 2 Related Work 5 2.1 Understanding Touchscreen Usability . . . . . . . . . . . . . . . . . . . 5 2.2 Assistive Designs for Touchscreen . . . . . . . . . . . . . . . . . . . . . 6 2.3 Assistive Designs for PC . . . . . . . . . . . . . . . . . . . . . . . . . . 7 3 Preliminary Observation 9 3.1 Observation Tool . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 4 Touchscreen Gesture Recognition 13 5 TapAssist Design and Implementation 15 5.1 Implementation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 6 Evaluation 19 6.1 Pilot Study . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 6.2 Experiment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 xi 6.2.1 Participants . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 6.2.2 System Setup . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 6.2.3 Study Design . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 6.3 Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 6.3.1 Diverse Dexterity . . . . . . . . . . . . . . . . . . . . . . . . . . 22 6.3.2 Sources of Tapping Errors . . . . . . . . . . . . . . . . . . . . . 22 6.3.3 Recognition Errors at Different Thresholds . . . . . . . . . . . . 23 6.3.4 Task Completion Time . . . . . . . . . . . . . . . . . . . . . . . 24 6.3.5 Subjective Satisfaction Rating . . . . . . . . . . . . . . . . . . . 25 7 Discussion 27 7.1 Limitations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 7.2 Touchscreen with Assistive Hardware . . . . . . . . . . . . . . . . . . . 27 7.3 Types of Gestures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 7.4 Un-intended Multitouch . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 8 Conclusion 29 Bibliography 31 | |
| dc.language.iso | en | |
| dc.subject | 系統靈敏度調整 | zh_TW |
| dc.subject | 動作技能障礙人士 | zh_TW |
| dc.subject | 腦性麻痺 | zh_TW |
| dc.subject | 易用性 | zh_TW |
| dc.subject | 輔助設計 | zh_TW |
| dc.subject | 觸控平板 | zh_TW |
| dc.subject | 手勢辨識 | zh_TW |
| dc.subject | Touchscreen interaction | en |
| dc.subject | System sensitivity adaptation | en |
| dc.subject | Gesture recognizer | en |
| dc.subject | Motor impairments | en |
| dc.subject | Assistive input | en |
| dc.title | 個人化調整觸控平板參數以改善動作技能障礙人士之操作易用性 | zh_TW |
| dc.title | TapAssist: Personalizing Touchscreen Settings to Improve Usability for Users with Motor Skill Impairments | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 102-1 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 陳顥齡(Hao-Ling Chen),章良渭(Liang-Wey Chang),唐蓉(Rong Tang),王浩全(Hao-Chuan Wang) | |
| dc.subject.keyword | 動作技能障礙人士,腦性麻痺,易用性,輔助設計,觸控平板,手勢辨識,系統靈敏度調整, | zh_TW |
| dc.subject.keyword | Motor impairments,Assistive input,Touchscreen interaction,Gesture recognizer,System sensitivity adaptation, | en |
| dc.relation.page | 33 | |
| dc.rights.note | 未授權 | |
| dc.date.accepted | 2013-10-15 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 資訊網路與多媒體研究所 | zh_TW |
| 顯示於系所單位： | 資訊網路與多媒體研究所 | |
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|---|---|---|---|
| ntu-102-1.pdf 未授權公開取用 | 3.79 MB | Adobe PDF |
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