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URN etd-0113112-112644 Statistics This thesis had been viewed 2410 times. Download 692 times. Author Fang-Yun Chen Author's Email Address No Public. Department Industrial Design Year 2011 Semester 1 Degree Master Type of Document Master's Thesis Language zh-TW.Big5 Chinese Page Count 163 Title A Study and Design of Icons for the Online Game Keyword Recognition rate Online game Icon design Confusion matrix Confusion matrix Icon design Online game Recognition rate Abstract In the e-era, the online game industry is highly competitive in countries around the world. The interfaces of online games must have the effect allowing players to recognize them images intuitively. Moreover, in order to overcome the language barrier, the user interface has evolved to graphical user interface and the operational function button is iconized. Ideally, through icons, players could understand the user interface and prevent themselves from making mistakes when playing the game. Therefore, the aim of this research is to summarize literature review, current status investigation, player suggestion, expert suggestion and glossary notation to establish the design principles for icon design in online game. In the meanwhile, the players were invited to evaluate new deisgn icons in terms of recognition rate in order to verify the design principle.
From current market investigation, the operational function in online games were collected and were categorized into 16 common items. Then, 30 subjects who had or had not played online games before were invited to fill in the questionnaire in the confusion matrix form. It was found that the recognition rates for the current 11 common items were significantly low. Thus, based on the concept of icon type (concrete, abstract and combined), the icons were re-designed. The re-designed icons then underwent validity assessment by experts and experienced players who then provided suggestions regarding the icons. Each item had three re-design icons. A questionnaire in confusion matrix form covered these 33 re-designed icons to verify the design principle. The statistical results were analyzed by using the two-tailed Z test. In addition, the results underwent descriptive analysis, 3-way ANOVA and goodness-of-fit test and the LSD test was conducted to select the new icon for each of the common items.
The results showed that, in terms of the recognition rate, 82% of the new design icons was significantly higher than the standard, 66.7%, suggested by ISO. Furthermore, based on the recognition rate and good-of-fitness of the icon types, concrete and combined icons were higher than abstract icons. Finally, the best icon for each common item was selected from the re-design icons based on three conditions, it is one of the best group in the LSD grouping, its recognition rate was significantly higher than the ISO standard 66.7% and it has significant goodness-of-fit. The findings could be a good references for relevant design in the future.
Advisor Committee Cherng-Yee Leung - advisor
Files Date of Defense 2011-12-09 Date of Submission 2012-01-15