本研究的目的在於設計出替代螢幕鍵盤與常用字預測功能並且探討這兩項介入對重度肢體障礙者在中文輸入上的成效。研究者選取八十七年常用語詞調查報告中的640個字，將這640個字各自拆解出嘸蝦米字根並分析每個嘸蝦米字根的出現率，根據出現率重新排列標準螢幕鍵盤版面，使其成為6列*7行的替代螢幕鍵盤。
接下來，研究者同樣利用這640個字當作常用字預測資料庫，實作出常用字預測功能。讓使用者可以在輸入每個中文字的前兩個嘸蝦米字根後，自動產生常用字列表供使用者選取。
替代螢幕鍵盤與常用字預測功能設計完成之後，研究者利用實驗來探討此兩項介入對重度肢體障礙者在中文輸入上的成效。實驗採單一受試者交替處理，實驗對象為二位脊髓損傷患者與一位手部變形，喪失手指的重度肢體障礙者。實驗結果顯示，替代螢幕鍵盤與加入常用字預測的標準螢幕鍵盤相對於標準螢幕鍵盤的確有較高的中文輸入成效。

The purposes of this study were to design Chinese Scanning Technique on an alternative on-screen keyboard with word prediciton and to evaluate their effectiveness. Researcher disassembled the 640 words that were 80% of the 5063 common Chinese words into Wu-Shia-Mi roots, and then reorganized the layout of the standard keyboard into a 6 rows * 7 columns frequency-optimized alternative eyboard.
When designing word prediction, the researcher used the same 640 words as database for predicting. Word prediction provides the user of on-screen keyboard with predictive suggestions after the user has entered the initial two letters of a word.
In this research, there were 3 subjects with Severely Physical Impairment, participated the usability evaluation of the alternative on-screen keyboard and word prediction. The performance of the 3 subjects showed that the alternative on-screen keyboard and standard on-screen keyboard with word prediction were better than standard on-screen keyboard.

王華沛(民85)：特殊教育電腦化教學—輸出入設備與作業系統之調整。視聽教育新科技國際研討會，國立台北師範學院。
王華沛(民88)：科技在特殊教育上的應用。載於毛連塭(主編)，特殊兒童教學法(321-376頁)。台北：心理出版社。
內政部(民90)：身心障礙者保護法。中華民國九十年十一月二十一日總統華總一義字第九○○○二二四六八○號修正公布。
內政部(民94)：內政統計年報-身心障礙依年齡或等級與男女。取自：http://sowf.moi.gov.tw/stat/year/y04-18.xls。
中華民國電腦技能基金會(民86)：中文輸入技能測驗指南。台北：松崗圖書。
行政院衛生署(民91)：身心障礙類別與等級。中華民國九十一年二月七日行政院衛生署衛署醫字第○九一○○一四七九九號公告修正。
吳亭芳、陳麗如、陳柏、蔡東和(民92)：運用輔助性科技協助身心障礙者之 就 業。特殊教育季刊，88，16-24。
吳亭芳、侯嘉怡、陳明聰(民89)：輔助性科技在特殊教育的應用。載於林寶貴 (主編)，特殊教育理論與實務（595-650頁）。台北：心理出版社。
吳亭芳(民91)：肢體障礙者電腦輔具評量及訓練成效之研究。國立台灣師範大 學 特殊教育研究所博士論文。未出版，台北市。
吳敏而(民87)：國民小學兒童常用字詞彙資料庫之建立與初步分析。行政院國 家科學委員會(報告編號：NSC 85-2413-H-081B-001)。
周二銘、黃慶鑽、黃瑞瑛、劉建仁(民85)：重度脊髓損傷者居家電腦職訓研 究。 行政院勞委會職業訓練局。
林千惠(民81)：並行處理設計在特殊教學比較研究上的應用。特殊教育研究學刊，7，67-85。
林月春(民87)：居家脊髓損傷患者社會支援狀況及相關因素之探討，美和專 校學 報，16，111-124。
洪全慶(民91)：重度肢障者適用之中文輸入法研發與整合。國立台灣師範大學 資
訊教育研究所碩士論文。未出版，台北市。
施雅彬(民87)：從肌肉痿縮症談DMD與BMD亞型，特殊教育季刊，66， 13-
19。
唐惠欽(民87)：倉頡、大易與嘸蝦米輸入法之分析比較。正修學報，11， 169-
175。
曾士熊(民86)：中文輸入法概述。中央研究院計算中心通訊，13(8)，85-88。
陳允宜(民84)：脊髓損傷者的復健成效。台北醫學院醫學研究所碩士論文。未 出
版，台北市。
陳明聰(民90)：身心障礙者中文替代鍵盤與輸入法輔助學習系統之設計及應用 成
效研究。國立台灣師範大學特殊教育研究所博士論文。未出版，台北 市。
陳淑芳(民90)：供身心障礙者使用之輸入列-行掃描電腦介面。國立台灣大學電機工程研究所碩士論文。未出版，台北市。
劉永平(民89)：身心障礙者適用之電腦滑鼠介面實作與評估。朝陽科技大學工業工程與管理系碩士論文。未出版，台中縣。
黃耀輝(民87a)：淺談中文字及其輸入、辨識之比較(上)。中央研究院計算中心通訊，14(25)，233-234。
黃耀輝(民87b)：淺談中文字及其輸入、辨識之比較(下)。中央研究院計算中心
通訊，14(26)，240-241。
運動神經元疾病(無日期)。民95年12月10日，取自： http://www.24drs.com/Special_Report/ALS/prelude_1.asp
蔡子安(民89)：高職學生中文輸入適性學習成效之研究-以倉頡輸入法為例。國
立彰化師範大學工業教育學系博士論文。未出版，彰化縣。
廖華芳、吳雪玉、徐中盈譯(民85)：促進年幼腦性麻痺兒童的發展：中階層復 健工作人員指引。台北：中華民國腦性麻痺協會。
謝明哲(民90)：為半側癱瘓與中度徐動型腦性麻痺者設計26鍵單手替代性鍵盤 之前期測試與發展。台東師院學報，12(下)，171-188。
戴俊芬(民85)：倉頡中文輸入法與大易中文輸入法之比較。中山中文學刊，2，211-234。
薛偉傑(民89)：鍵盤輸入三大主流。民95年1月10日，取自： http://input.foruto.com/introduce/introduce_article036.htm。
薛澤杰(民81)：台灣地區脊髓損病患及其生活能力調查。中華復健醫誌，20，39-47。
Alliance for Technology Access ( 2000 ). Computer and web resources for people with disabilities. Alameda, CA: Hunter House.
Anson, D. (1993). The effect of word prediction on typing speed. American Journal of Occupational Therapy, 47, 1039-1042.
Anson, D. (1997). Alternative computer access: A guide to selection. Philadelphia: F. A. Davis Company.
Anson, D., Moist, P., Przywara, M., Wells, H. Saylor, H., Maxime, H. (2005). The Effects of Word Completion and Word Prediction on Typing Rates Using On-screen Keyboards. In Proceedings of the RESNA International ’05 Conference. Washington, DC: RESNA.
Baletsa, G., Foulds, R., & Crochetiere, W. (1976). Design parameters of an intelligent communication device. In Proceedings of the 29th Annual Conference on Engineering in Medicine and Biology(pp.371). Chevy Chase, MD: Alliance for Engineering in Medicine and Biology.
Bloomfield, J. R. (1979). Visual Search with embedded Target: Color and Texture Differences. Human Factors, 21, 317-330.
Brard, C. & Niemeijer, D. (2004). Evaluating effort reduction through different word prediction systems. In Proceedings of the IEEE lntemational Conference on Systems, Man and Cybernetics, 10-13 October 2004(pp. 2658-2663). the Hague, Netherlands.
Crochetiere, W., Foulds, R., & Sterne, R.(1974). Computer aided motor communication. In Proceedings of the 1974 Conference on Engineering Devices in Rehabilitation(pp. 1-5). Boston, MA: The Biomedical Engineering Center, Tufts-New England Medical Center.
Demasco, P. (1994). Human factors considerations in the design of language interfaces in AAC. Assistive Technology, 6, 10-25.
Foulds, R., Balesta, G., & Crochetiere, W. (1975). The effectiveness of language redundancy in non-verbal communication. In Proceedings of the Conference on Devices and Systems for the Disabled(pp. 82-86). Philadelphia: Krusen Center for Research and Engineering.
Foulds, R., Baletsa, G., Crochetiere, W., & Meyer, C. (1976). TheTufts Non-vocal Communication Program. Presented at the Conference on Medical Devices in Rehabilitation, Boston.
Gibler, C. & Childress, D. (1982). Language anticipation with a computer-based scanning communication aid. In Proceedings of the IEEE Conference for Computer Society Workshop on Computing to Aid the Handicapped(pp. 11-16), Charlottesville, VA.
Golden, S. (2001). Word prediction and students with LD and severe spelling difficulties. Unpublished Ed.S. thesis, Georgia State University, Atlanta.
Grossman, J. D. (1975). Research Note: Reticle Color Preference as a Function of Luminance and Background. Human Factors, 17(2), 215-217.
Heckathorne, C., Voda, J., & Leibowitz, L. (1987). Design rationale and evaluation of
the portable anticipatory communication aid — PACA. Augmentative and Alternative Communication, 3, 170-180.
Higginbotham, D. J. (1992). Evaluation of keystroke savings across five assistive communication technologies. Augmentative Alternative Communication, 8(4), 258-272.
Hunnicutt, S., & Carlberger, J. (2001). Improving word prediction using Markov models and heuristic methods. AAC Augmentative and Alternative Communication , 17, 255-264.
Koester, H. & Levine, S. (1994). Learning and performance in scanning systems with and without word prediction – report on a pilot study. In Proceedings of the RESNA International ’92 Conference(pp. 299-301). Washington, D.C.: RESNA.
Koester, H. H., & Levine, S. P. (1997). Keystroke-level models for user performance with word prediction. AAC Augmentative and Alternative Communication, 13, 239-257.
Koester, H. H., & Levine, S. P. (1998). Model simulations of user performance with word prediction. AAC Augmentative and Alternative Communication, 14, 25-35.
Lesher, G. W., Moulton, B. J., & Higginbotham, D. J. (1998). Techniques for augmenting scanning communication. Augmentative and Alternative Communication, 14, 81-101
Lewis, R. B., Graves, A. W., Ashton, T. M., & Kieley, C. L. (1998). Word processing tools for students with learning disabilities: A comparison of strategies to increase text entry speed. Learning Disabilities Research & Practice, 13, 95-108.
MacArthur, C. A. (1998). From illegible to understandable: How word recognition and speech synthesis can help. Teaching Exceptional Children, 30(6), 66-71.
MacArthur, C. A. (1999). Overcoming barriers to writing: Computer support for basic writing skills. Reading & Writing Quarterly, 15, 169-192.
Merbler, J. B., Hadadian, A., & Ulman, J. (1999). Using assistive technology in the inclusive classroom. Preventing School Failure, 34, 113-118.
Newell A. F., Booth L., and Beattie W. (1991). Predictive text entry with PAL and children with learning difficulties. British Journal of Educational Technology, 22(1), 23-40.
Newell, A. F., Arnott, J. L., and Waller, A. (1992).On the validity of user-modeling in AAC: Comments on Horstmann and Levine. Augmentative Alternative Communication, 8, 89-92.
Roger, S. H., Gordon, C. Y., Schanzenbacher, K. E., & Case-Smith, J. (2001). Common diagnosis in pediatric occupational therapy practice. In J. Case-Smith (Ed.), Occupational therapy for children(4th ed., pp.136-187). ST. Louis: Mosby.
Scull, J. and Hill L. (1988). A computerized communication message preparation program that “learns” the user’s vocabulary. Augmentative Alternative Communication, 4(1), 40-44.
Soede, M., & Foulds, R. A. (1986). Dilemma of prediction in communication aids. In Proceedings of the 9th Annual RESNA Conference(pp. 357-259). Washington, D.C.: RESNA.
Tumlin, J., & Wolff-Heller, K. (2004). Using Word Prediction Software to Increase Typing Fluency with Students with Physical Disabilities. Journal of Special Education Technology, 19(3). Retrieved January 10, 2006, from the World Wide Web: http://jset.unlv.edu/19.3/tumlin/first.html.