建議未來研究方向

第五章結論與建議

5.4 建議未來研究方向

本研究提供幾個可能延伸的研究方向，供後續研究者參考：

一、透過不同的行動載具進行行動應用軟體商店之介面評估

本研究是以電腦版本的行動應用軟體商店為評估對象，App Store 是為一套獨立安裝的應用程式(application)，而 Google Play 則是一個實體網站，因此採用網頁介面的評估技術，由於在不同的行動載具上，例如智慧型手機或平板電腦，其行動應用軟體商店的介面將有所不同，因此後續研究者可以針對不同的載具探討是否會有相同的結論。

二、發展眼動變數情緒變數的相關評估

目前仍沒有任何研究探討眼動相關變數和情緒相關變數之間的共變關係，本研究係針對介面設計主題，雖然本研究的實驗結果並驗證出二者之間存在相關性，仍建議 後續研究者可以針對不同主題探討眼動係數如何作為情感運算的因子之一。

三、提升樣本的代表性

本研究受限於人力及經費，所以僅能在臺中教育大學進行實驗研究。後續研究者可以考慮將受試樣本的取樣擴大到各個地區、背景，且觀察不同年齡層的狀況。並且可以嘗試使用兩個水準以上的實驗設計來探討不同因素對使用性的影響。

參考文獻

李煉祥. (2011). 智慧型手機軟體商店之商業模式分析. 碩士, 國立中央大學, 桃園縣.

Retrieved from

http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi?o=dnclcdr&s=id=%22099NCU053960 13%22.&searchmode=basic

沈聖博. (2004). 以 XML 為基礎的行動應用程式開發工具. 碩士, 國立交通大學, 新竹市.

Retrieved from

http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi?o=dnclcdr&s=id=%22092NCTU53940 15%22.&searchmode=basic

肖元梅, 王治明, 王綿珍, & 蘭亞佳. (2005, June). 主觀負荷評估技術和 NASA 任務負荷 指數量表的信度與效度評價. 中華勞動衛生職業病雜誌, 23, 4.

林怡君. (2007). Weblog 使用者介面之個人化設計探討. 碩士, 國立臺灣科技大學, 台北 市. Retrieved from

http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi?o=dnclcdr&s=id=%22095NTUS56190 13%22.&searchmode=basic

邱于純. (2011). 行動應用軟體商店之媒體通路策略探討. 碩士, 國立中山大學, 高雄市.

Retrieved from

http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi?o=dnclcdr&s=id=%22099NSYS51210 78%22.&searchmode=basic

唐國豪. (2003). 人機互動. 科學發展, 368, 18-23.

殷健翔. (2011). 網路口碑對線上應用程式的購買意圖之影響-以 Apple App Store 為例. 博 士, 國立中央大學, 桃園縣. Retrieved from

http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi?o=dnclcdr&s=id=%22099NCU053960 83%22.&searchmode=basic

曾承志, 張建仁, & 陳志立. (2007). 船舶避碰之心智負荷分析－NASA-TLX 主觀量測方 法之應用. Paper presented at the 兩岸三地航運與物流的新發展與研究, 臺北.

http://ntour.ntou.edu.tw/handle/987654321/25919

鄭恩維. (2008). 國內外著名購物網站使用者介面設計之研究. 碩士, 國立臺灣藝術大學, 新北市. Retrieved from

http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi?o=dnclcdr&s=id=%22096NTUA07270 03%22.&searchmode=basic

Accot, J., & Zhai, S. (1997). Beyond Fitts' law: models for trajectory-based HCI tasks. Paper presented at the Proceedings of the ACM SIGCHI Conference on Human factors in computing systems, Atlanta, Georgia, United States.

Apple Computer, I. (1992). Macintosh Human Interface Guidelines: Addison-Wesley

100

Publishing Company.

Berners-Lee, T. (1989). Information Management: A Proposal.

Chadwick-Dias, A., McNulty, M., & Tullis, T. (2002, June-September). Web usability and age:

how design changes can improve performance. Paper presented at the CUU '03

Proceedings of the 2003 conference on Universal usability.

Chen, C.-M., & Sun, Y.-C. (2012). Assessing the effects of different multimedia materials on emotions and learning performance for visual and verbal style learners. Computers &

Education, 59(4), 1273-1285. doi: http://dx.doi.org/10.1016/j.compedu.2012.05.006

Chen, C.-M., & Wang, H.-P. (2011). Using emotion recognition technology to assess the

effects of different multimedia materials on learning emotion and performance.

Library & Information Science Research, 33(3), 244-255. doi:

http://dx.doi.org/10.1016/j.lisr.2010.09.010

Chin, J. P., Diehl, V. A., & Norman, K. L. (1988). Development of an instrument measuring

user satisfaction of the human-computer interface. Paper presented at the SigChi'88,

New York.

Detlor, B., Sproule, S., & Gupta, C. (2003). Pre-purchase online information seeking Search versus browse. Journal of Electronic Commerce Research, 4(2), 72-84.

Eggemeier, F. T. (1988). Properties of Workload Assessment Techniques. In A. H. Peter & M.

Najmedin (Eds.), Advances in Psychology (Vol. Volume 52, pp. 41-62):

North-Holland.

Farmer, E., Brownson, A., & QinetiQ. (2003). Review of Workload Measurement, Analysis and Interpretation Methods European organization for the safety of air navigation (1.0 ed.): EUROCONTROL.

Findlater, L., & McGrenere, J. (2004). A comparison of static, adaptive, and adaptable menus.

Paper presented at the Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Vienna, Austria.

Folmer, E., van Gurp, J., & Bosch, J. (2003). A framework for capturing the relationship between usability and software architecture. Software Process: Improvement and

Practice, 8(2), 67-87. doi: 10.1002/spip.171

Fowler, S. L., & Stanwick, V. R. (2004). Web application design handbook: best practices for

web-based software. San Francisco, CA, USA.

Harper, B., Slaughter, L., & Norman, K. (1997). Questionnaire administration via the WWW:

A validation and reliability study for a user satisfaction questionnaire. Paper presented

at the WebNet: Association for the Advancement of Computing in Education, Toronto, Canada.

Hart, S. G., & Stavenland, L. E. (1988). Development of NASA-TLX (Task Load Index):

101

Results of empirical and theoretical research. In P. A. Hancock & N. Meshkati (Eds.),

Human Mental Workload (pp. 139-183): Elsevier.

Hercegfi, K., Csillik, O., Bodnar, E., Sass, J., & Izso, L. (2009). Designers of Different Cognitive Styles Editing E-Learning Materials Studied by Monitoring Physiological and Other Data Simultaneously. In D. Harris (Ed.), Engineering Psychology and

Cognitive Ergonomics, Proceedings (Vol. 5639, pp. 179-186). Berlin: Springer-Verlag

Berlin.

Holzer, A., & Ondrus, J. (2011). Mobile application market: A developer’s perspective.

Telematics and Informatics, 28(1), 22-31. doi: 10.1016/j.tele.2010.05.006

Jacob, R. J. K., & Karn, K. S. (2003). Eye Tracking in Human-Computer Interaction and Usability Research: Ready to Deliver the Promises. The Mind's eye: Cognitive The

Mind's Eye: Cognitive and Applied Aspects of Eye Movement Research, 573-603. doi:

citeulike-article-id:3101003

Kalbach, J. (2007). Designing Web navigation: Optimizing the user experience: O'Reilly Media Inc.

Keevil, B. (1998). Measuring the usability index of your Web site. Paper presented at the Proceedings of the 16th annual international conference on Computer documentation, Quebec, Quebec, Canada.

Leuthold, S., Schmutz, P., Bargas-Avila, J. A., Tuch, A. N., & Opwis, K. (2011a). Vertical versus dynamic menus on the world wide web: Eye tracking study measuring the influence of menu design and task complexity on user performance and subjective preference. Computers in Human Behavior, 27(1), 459-472. doi:

10.1016/j.chb.2010.09.009

Leuthold, S., Schmutz, P., Bargas-Avila, J. A., Tuch, A. N., & Opwis, K. (2011b). Vertical versus dynamic menus on the world wide web: Eye tracking study measuring the influence of menu design and task complexity on user performance and subjective preference. Computers in Human Behavior, 27, 459-472.

Lin, T., Imamiya, A., & Mao, X.-Y. (2008). Using multiple data sources to get closer insights into user cost and task performance. Interacting with Computers, 20(3), 364-374. doi:

10.1016/j.intcom.2007.12.002

Lin, T., Omata, M., Hu, W., & Imamiya, A. (2005). Do physiological data relate to traditional

usability indexes? Paper presented at the Proceedings of the 17th Australia conference

on Computer-Human Interaction: Citizens Online: Considerations for Today and the Future, Canberra, Australia.

Liu, C., Zhu, Q., Holroyd, K. A., & Seng, E. K. (2011). Status and trends of mobile-health applications for iOS devices: A developer's perspective. [Article]. Journal of Systems

102

and Software, 84(11), 2022-2033. doi: 10.1016/j.jss.2011.06.049

Miller, D. P. (1981). The depth/breadth tradeoff in hierarchical computer menus. Annual

Human Factors Society Meeting, 296-300.

Newman, M. W., & Landay, J. A. (2000). Sitemaps, storyboards, and specifications: a sketch

of Web site design practice. Paper presented at the Proceedings of the 3rd conference

on Designing interactive systems: processes, practices, methods, and techniques, New York City, New York, United States.

Novak, D., Mihelj, M., & Munih, M. (2009). Using Psychophysiological Measurements in Physically Demanding Virtual Environments. In T. Gross, J. Gulliksen, P. Kotze, L.

Oestreicher, P. Palanque & R. O. Prates (Eds.), Human-Computer Interaction -

Interact 2009, Pt I (Vol. 5726, pp. 490-493). Berlin: Springer-Verlag Berlin.

Nunnally, J., & Bernstein, I. (1978). Psychometric theory (2nd ed.). New York: McGraw-Hill Humanities.

Park, J., Han, S. H., Park, Y. S., & Cho, Y. (2007). Adaptable versus adaptive menus on the desktop: Performance and user satisfaction. International Journal of Industrial

Ergonomics, 37(8), 675-684. doi: http://dx.doi.org/10.1016/j.ergon.2007.04.006

Pastel, R. (2006). Measuring the difficulty of steering through corners. Paper presented at the

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Montréal, Québec, Canada.

Pfister, H.-R., Wollstädter, S., & Peter, C. (2011). Affective responses to system messages in human–computer-interaction: Effects of modality and message type. Interacting with

Computers, 23(4), 372-383. doi: http://dx.doi.org/10.1016/j.intcom.2011.05.006

Pirolli, P. (2007). Information Foraging TheoryAdaptive Interaction with Information: Oxford

University Press.

Pousttchi, K., & Hufenbach, Y. (2011). Value Creation in the Mobile Market. [Article].

Business & Information Systems Engineering, 3(5), 299-311. doi:

10.1007/s12599-011-0175-3

Preece, J. (1998). 人機介面與互動入門 : 電腦之人因工程 (陳建豪, Trans.). 臺北市: 和 碩科技文化出版.

Quinn, P., & Cockburn, A. (2008). The effects of menu parallelism on visual search and

selection. Paper presented at the Proceedings of the ninth conference on Australasian

user interface - Volume 76, Wollongong, Australia.

Ren, F., & Quan, C. (2012). Linguistic-based emotion analysis and recognition for measuring consumer satisfaction: an application of affective computing. Information Technology

and Management, 13(4), 321-332. doi: 10.1007/s10799-012-0138-5

Rezazadeh, I. M., Wang, X. Y., Firoozabadi, M., & Golpayegani, M. R. H. (2011). Using

103

affective human-machine interface to increase the operation performance in virtual construction crane training system: A novel approach. [Article]. Automation in

Construction, 20(3), 289-298. doi: 10.1016/j.autcon.2010.10.005

Rosenfeld, L., & Morville, P. (2006). Information architecture for the World Wide Web (3rd ed.): O’Reilly Media.

Rouet, J. F., Ros, C., Jegou, G., & Metta, S. (2004). Locating relevant categories in Web menus: Effects of task complexity, menu structure and individual factors. [Article].

Travail Humain, 67(4), 377-395.

Rubio, S., Diaz, E., Martin, J., & Puente, J. M. (2004). Evaluation of subjective mental workload: A comparison of SWAT, NASA-TLX, and workload profile methods.

[Article]. Applied Psychology-an International Review-Psychologie Appliquee-Revue

Internationale, 53(1), 61-86. doi: 10.1111/j.1464-0597.2004.00161.x

Saade, R. G., & Otrakji, C. A. (2007). First impressions last a lifetime: effect of interface type on disorientation and cognitive load. [Article]. Computers in Human Behavior, 23(1), 525-535. doi: 10.1016/j.chb.2004.10.035

Severance, C. (2011). Toward Developing an Education App Store. [Editorial Material].

Computer, 44(8), 107-109.

Shneiderman, B., & Plaisant, C. (2004). Designing the User Interface (4th ed.): Pearson Addison-Wesley.

Te’eni, D., & Feldman, R. (2001). Performance and satisfaction in adaptive websites: An experiment on searches within a task-adapted website. Journal of the Association for

Information Systems, 2(3), 1-30. doi: citeulike-article-id:7053110

Wallace, D. F., Anderson, N. S., & Shneiderman, B. (1987). Time Stress Effects on Two Menu

Selection Systems. Paper presented at the the Human Factors Society 31st annual

Meeting.

Ward, R. D., & Marsden, P. H. (2003). Physiological responses to different WEB page designs.

International Journal of Human-Computer Studies, 59(1-2), 199-212. doi:

10.1016/s1071-5819(03)00019-3

Ware, C. (2008). Visual Thinking: for Design. San Francisco, CA, USA: Morgan Kaufmann Publishers Inc.

Zaphiris, P. G. (2000). Depth vs Breath in the Arrangement of Web Links. Paper presented at the the Human Factors and Ergonomics Society Annual Meeting.

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附件一、常態性檢定 Q-Q 圖

【簡單任務：正確率】

【簡單任務：搜尋時間】

105

【簡單任務：凝視點數量】

【簡單任務：滿意度】

【簡單任務：心智負荷】

106

【簡單任務：生理負荷】

【簡單任務：正面情緒百分比】

【簡單任務：負面情緒百分比】

107

附件二、基本資料問卷

您好：

這是一份關於「行動應用軟體商店（Application Store）」的評量問卷，請依照您操作時的真實感受填寫。本問卷採匿名方式，評量結果僅作學術用途。此問卷是本研究得以順利進行之關鍵，非常感謝您的撥冗協助！

國立臺中教育大學數位內容科技研究所指導教授：吳智鴻博士

研究生：歐陽宜恩

受測者基本資料 姓名

系所年級

性別

男女

年齡

17 歲以下 18-24 歲 25-34 歲 35-45 歲 46 歲以上

108

教育程度

國小或以下國中高中職大專院校研究所或以上

學經歷背景

資訊相關設計相關以上皆非

網路使用經驗

1 年內 1-3 年 4-6 年 7-9 年 10 年以上

請問您使用智慧型手機已有多久時間？

*「未曾使用」則請於下一題選擇「無」

未曾使用 1 個月 3 個月半年 1 年 1 年以上

請問您的手機作業系統是？

iOS Android Windows Symbian 無（未曾使用／未擁有智慧型手機者請選此項）

其他：

請問您平時使用行動應用軟體商店（包含瀏覽及下載）的習慣是？

鮮少主動開啟，除非通知更新時常逛逛，看看有什麼新軟體從未使用過

請問您是否於電腦端使用行動應用軟體商店？

*例如 iTunes 的 App Store、網頁版的 Google play

109

僅在手機上使用，未曾於電腦端(非平板電腦)使用不但在手機上使用，也會於電腦端(非平板電腦)使用不論手機或電腦端，都未曾使用過

實驗說明

假設您擁有一支智慧型手機，您的朋友推薦了幾個好用的軟體，而現在您正在使用個人電腦，準備從 iTuns 上的 App Store 與網頁版的 Google play 商店下載這些應用程式到您的手機去。

有些軟體他記得部分名稱，但有些他只記得內容，因此您無法使用搜尋引擎、必須逐一瀏覽找尋，並且需要注意：

1. 必須盡快完成下載動作。

2. 不可使用搜尋引擎。

3. 不限金額：只要符合需求，免費或付費都可選擇。

4. 按下 INSTALL 或 BUY 即算是確定下載、結束此下載任務。

5. 每次完成下載，請告知工作人員，並請停下手邊的動作。

以上閱讀完畢後，接續進行前置測驗。

110

附件三、QUIS 滿意度問卷

關於行動應用軟體商店之介面使用，請依據您內心感受程度勾選最適切的數字：

整體反應

111

畫面呈現

閱讀介面上的字體

112

遣詞用語與系統資訊 介面的術語用詞

113

學習性

學習操作測試此系統介面

114

系統性能 執行速度

您在操作此行動應用軟體商店介面時的感想與建議

115

附件四、NASA-TLX 心智負荷問卷

關於行動應用軟體商店之介面使用，請依據您內心感受程度在勾選最適切的選項：

心智需求

執行這項任務需要運用多少的心智思考、記憶？

體力需求

執行這項任務需要運用多少體能活動？

時間需求

執行此項任務讓您感到時間壓力的程度？

自我績效

您認為自己執行此項任務的表現如何？

116

努力程度

您認為完成此項任務需要花費多大的努力？

挫折程度

執行此任務時您感到沒有把握、氣餒的程度？

在文檔中運用多資料源探討行動應軟體商店選單設計對使用性之影響 (頁 109-127)

第五章 結論與建議

5.4 建議未來研究方向

參考文獻

http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi?o=dnclcdr&s=id=%22099NCU053960 13%22.&searchmode=basic

http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi?o=dnclcdr&s=id=%22092NCTU53940 15%22.&searchmode=basic

http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi?o=dnclcdr&s=id=%22095NTUS56190 13%22.&searchmode=basic

http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi?o=dnclcdr&s=id=%22099NSYS51210 78%22.&searchmode=basic

http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi?o=dnclcdr&s=id=%22099NCU053960 83%22.&searchmode=basic

http://ntour.ntou.edu.tw/handle/987654321/25919

http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi?o=dnclcdr&s=id=%22096NTUA07270 03%22.&searchmode=basic

how design changes can improve performance. Paper presented at the CUU '03

Education, 59(4), 1273-1285. doi: http://dx.doi.org/10.1016/j.compedu.2012.05.006

Library & Information Science Research, 33(3), 244-255. doi:

http://dx.doi.org/10.1016/j.lisr.2010.09.010

user satisfaction of the human-computer interface. Paper presented at the SigChi'88,

Practice, 8(2), 67-87. doi: 10.1002/spip.171

web-based software. San Francisco, CA, USA.

A validation and reliability study for a user satisfaction questionnaire. Paper presented

Human Mental Workload (pp. 139-183): Elsevier.

Cognitive Ergonomics, Proceedings (Vol. 5639, pp. 179-186). Berlin: Springer-Verlag

Telematics and Informatics, 28(1), 22-31. doi: 10.1016/j.tele.2010.05.006

Mind's Eye: Cognitive and Applied Aspects of Eye Movement Research, 573-603. doi:

usability indexes? Paper presented at the Proceedings of the 17th Australia conference

and Software, 84(11), 2022-2033. doi: 10.1016/j.jss.2011.06.049

Human Factors Society Meeting, 296-300.

of Web site design practice. Paper presented at the Proceedings of the 3rd conference

Interact 2009, Pt I (Vol. 5726, pp. 490-493). Berlin: Springer-Verlag Berlin.

Ergonomics, 37(8), 675-684. doi: http://dx.doi.org/10.1016/j.ergon.2007.04.006

Computers, 23(4), 372-383. doi: http://dx.doi.org/10.1016/j.intcom.2011.05.006

Business & Information Systems Engineering, 3(5), 299-311. doi:

selection. Paper presented at the Proceedings of the ninth conference on Australasian

and Management, 13(4), 321-332. doi: 10.1007/s10799-012-0138-5

Construction, 20(3), 289-298. doi: 10.1016/j.autcon.2010.10.005

Travail Humain, 67(4), 377-395.

Internationale, 53(1), 61-86. doi: 10.1111/j.1464-0597.2004.00161.x

Computer, 44(8), 107-109.

Information Systems, 2(3), 1-30. doi: citeulike-article-id:7053110

Selection Systems. Paper presented at the the Human Factors Society 31st annual

International Journal of Human-Computer Studies, 59(1-2), 199-212. doi:

附件一、常態性檢定 Q-Q 圖

附件二、基本資料問卷

附件三、QUIS 滿意度問卷

附件四、NASA-TLX 心智負荷問卷

第五章結論與建議