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Title: | 模板屬性對瀏覽行為的影響-以線上遊戲為例 The Impact of Template Attributes to User’s Behavior-Take Online Game as an Example |
Authors: | 陳妍樺 Chen, Yen Hua |
Contributors: | 傅豐玲 Fu, Fong Ling 陳妍樺 Chen, Yen Hua |
Keywords: | 模板比對 資訊氣味 搜尋理解連結模型 使用者經驗 線上遊戲介面設計 Template Matching Information Scent CoLiDeS Model User`s Previous Knowledge Interface Design of Online-Game |
Date: | 2013 |
Issue Date: | 2014-10-01 13:32:05 (UTC+8) |
Abstract: | 面對大量習慣用嘗試錯誤方式去學習使用複雜線上遊戲功能的使用者,如果沒有一個好的網頁佈局設計,會妨礙讓使用者易於上手。本研究試圖綜合以往在電腦學習認知方面的模板比對理論、CoLiDeS Model、及資訊氣味等相關研究,增強對線上遊戲介面設計的了解。本研究設計一個線上遊戲介面認知的實驗,用「仙劍Online」多人線上遊戲的介面為實驗工具,運用眼動儀去觀察受試者的瀏覽行為。「功能的群組位置」(Location)與圖像(Icon)皆為介面設計的重要因素;這兩項因素可能會影響受試者對任務難易的知覺判斷與瀏覽行為的Pattern。這些差異會顯示在任務的「間隔多久時間看到正確區域位置」、「凝視次數」、「凝視正確區域佔全部的比例」、任務的「完成率」與任務的「使用時間」等資料上。經過本研究驗證可以明確的知道「功能的群組位置」(Location)與圖像(Icon)何者為設計者首要考量之因素,在學術上能加強對CoLiDeS Model的了解,提出兩階段修正的認知模式;在實務上幫助介面設計師進行更有效的頁面設計和實用的建議。 A large amount of users practice the trial and error approach to learn to use complicated online games. This leads to low user perception of "easy to use" when the game lacks good webpage layout design. This study attempts to integrate previous studies on cognitive learning through computer including Template Matching, Information Scent, and Comprehension-based Linked model of Deliberate Search Model ( CoLiDes Model), to enhance the understanding on online game interface design. A cognitive experiment of online game interface was designed utilizing the multiplayer simulation game "Chinese Paladin Online" in an attempt to observe and record user’s browsing behaviors through the eye tracker. "Location of functional group " and "Icon" are important factor of interface design and affect user’s browse behavior pattern . These differences will appear in "Time spent", "Accuracy", "Frequency of fixation ", “ and "Time spent before first fixation on the correct position" of the tasks. We expect the results extended the CoLiDeS Model, enhanced understanding of the interface layout user cognition, and provided fruitful suggestions in how to further design on effective WebPages. |
Reference: | [1]Abernethy, B. (1988). Dual-task methodology and motor skills research: some applications and methodological constraints. Journal of Human Movement Studies, 14(3), 101-132. [2]Blackmon, M., Mandalia, D., Polson, P., & Kitajima, M. (2007). Automating usability evaluation: Cognitive walkthrough for the web puts LSA to work on real-world HCI design problems. LSA: A Road to Meaning. Mahwah, NJ: Erlbaum (to appear, 2006). [3]Brusilovsky, P. (2001). Adaptive hypermedia. User modeling and user-adapted interaction, 11(1-2), 87-110. [4]Byrne, M. D., John, B. E., Wehrle, N. S., & Crow, D. C. (1999). The tangled Web we wove: a taskonomy of WWW use. Paper presented at the Proceedings of the SIGCHI conference on Human Factors in Computing Systems. [5]Chi, E. H., Pirolli, P., Chen, K., & Pitkow, J. (2001). Using information scent to model user information needs and actions and the Web. Paper presented at the Proceedings of the SIGCHI conference on Human factors in computing systems. [6]Cockburn, A., & McKenzie, B. (2001). What do Web users do? An empirical analysis of Web use. International Journal of Human-Computer Studies, 54(6), 903-922. [7]Cutrell, E., & Guan, Z. (2007). What are you looking for?: an eye-tracking study of information usage in web search. Paper presented at the Proceedings of the SIGCHI conference on Human factors in computing systems. [8]Fu, F.-L., & Su, C. H. (2011). Template for website browsing Engineering Psychology and Cognitive Ergonomics (pp. 233-242): Springer. [9]Habuchi, Y., Kitajima, M., & Takeuchi, H. (2008). Comparison of eye movements in searching for easy-to-find and hard-to-find information in a hierarchically organized information structure. Paper presented at the Proceedings of the 2008 symposium on Eye tracking research & applications. [10]Halverson, T., & Hornof, A. J. (2011). A computational model of “active vision” for visual search in human–computer interaction. Human–Computer Interaction, 26(4), 285-314. [11]Howes, A., Payne, S. J., & Richardson, J. (2002). An instance-based model of the effect of previous choices on the control of interactive search. Paper presented at the Proceedings of the 24th annual meeting of the Cognitive Science Society. [12]Juvina, I. (2006). Development of a Cognitive Model for Navigating on the Web. Unpublished doctoral dissertation, Utrecht University, The Netherlands. [13]Karanam, S., Oostendorp, H. v., Puerta Melguizo, M., & Indurkhya, B. (2009). Integrating graphical information into cognitive modeling of web navigation. Paper presented at the 31st annual conference of the cognitive science society. [14]Karanam, S., van Oostendorp, H., & Indurkhya, B. (2012). A study on the role of non-hyperlink text on web navigation. Computer Science, 13(3), 5-22. [15]Kieras, D. E., & Meyer, D. E. (1997). An overview of the EPIC architecture for cognition and performance with application to human-computer interaction. Human-computer interaction, 12(4), 391-438. [16]Kim, H. R., & Chan, P. K. (2003). Learning implicit user interest hierarchy for context in personalization. Paper presented at the Proceedings of the 8th international conference on Intelligent user interfaces. [17]Kintsch, W. (1998). Comprehension: A paradigm for cognition: Cambridge university press. [18]Kitajima, M., Blackmon, M. H., & Polson, P. G. (2000). A comprehension-based model of Web navigation and its application to Web usability analysis People and computers XIV—Usability or else! (pp. 357-373): Springer. [19]Kitajima, M., Blackmon, M. H., & Polson, P. G. (2003). Repairing usability problems identified by the cognitive walkthrough for the web. Paper presented at the Proceedings of the SIGCHI conference on Human factors in computing systems. [20]Kitajima, M., Blackmon, M. H., & Polson, P. G. (2005). Cognitive architecture for website design and usability evaluation: Comprehension and information scent in performing by exploration. Paper presented at the HCI International 2005. [21]Kitajima, M., & Polson, P. G. (1995). A comprehension-based model of correct performance and errors in skilled, display-based, human-computer interaction. International Journal of Human-Computer Studies, 43(1), 65-99. [22]Kitajima, M., & Polson, P. G. (1997). A comprehension-based model of exploration. Human-computer interaction, 12(4), 345-389. [23]Kuhlthau, C. C. (1999). The Role of Experience in the Information Search Process of an Early Career Information Worker: Perceptions of Uncertainty, Complexity Construction, and Sources. JASIS, 50(5), 399-412. [24]Landauer, T. K., Foltz, P. W., & Laham, D. (1998). An introduction to latent semantic analysis. Discourse processes, 25(2-3), 259-284. [25]MacGregor, S. K. (1999). Hypermedia navigation profiles: Cognitive characteristics and information processing strategies. Journal of educational computing research, 20(2), 189-206. [26]Nielsen, J. (1989). The matters that really matter for hypertext usability. Paper presented at the Proceedings of the second annual ACM conference on Hypertext. [27]Nielsen, J. (2006). Users Interleave Sites and Genres. Jacob Nielsen`s Alertbox. Norman, D. A., & Bobrow, D. G. (1975). On data-limited and resource-limited processes. Cognitive psychology, 7(1), 44-64. [28]Pirolli, P., & Card, S. (1999). Information foraging. Psychological review, 106(4), 643. [29]Pirolli, P., & Fu, W.-T. (2003). SNIF-ACT: A model of information foraging on the World Wide Web User Modeling 2003 (pp. 45-54): Springer. [30]Reed, C. L., Stone, V. E., Grubb, J. D., & McGoldrick, J. E. (2006). Turning configural processing upside down: part and whole body postures. Journal of Experimental Psychology: Human Perception and Performance, 32(1), 73. [31]Song, G. (2007). Analysis of web page complexity through visual segmentation Human-Computer Interaction. HCI Applications and Services (pp. 114-123): Springer. [32]Van den Broek, P., Young, M., Tzeng, Y., & Linderholm, T. (1999). The landscape model of reading: Inferences and the online construction of a memory representation. The construction of mental representations during reading, 71-98. [33]Wen, J. (2003). Post-valued recall web pages: User disorientation hits the big time. IT & Society, 1(3), 184-194. [34]鄭昭明. (1994). 認知心理學: 理論與實踐. |
Description: | 碩士 國立政治大學 資訊管理研究所 101356039@nccu.edu.tw 102 |
Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0101356039 |
Data Type: | thesis |
Appears in Collections: | [資訊管理學系] 學位論文
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