行動è£ç½®è¦–覺è¨è¨ˆä»‹é¢ä¹‹å®¢è£½åŒ–åå¥½ç ”ç©¶ / Study on Customization Preferences in Mobile Device Visual Interface Design
摘要
基於數ä½è£ç½®ä»‹é¢çš„個性化å–å‘ï¼Œæœ¬ç ”ç©¶æ—¨åœ¨æŽ¢ç©¶ä¸åŒä½¿ç”¨è€…å°ä»‹é¢åœ–æ¨™é€ å½¢çš„å好è¨å®šã€‚é€éŽæº–實驗è¨è¨ˆå’Œå„ªåŒ–éŽç¨‹ï¼Œå°ä»‹é¢æ¨¡æ“¬é€²è¡Œäº†ä½¿ç”¨è€…評估和測試,並將其作為實驗工具進行測試。實驗å°è±¡æŽ¡å–ç«‹æ„å–æ¨£ä»¥ç²å–數據,並使用é‡åŒ–åˆ†æžæ–¹æ³•進行資料整ç†å’Œæ¯”å°ï¼Œä¸¦ä¸”æ•´ç†å—試者事後的訪談é‡é»žã€‚æ ¹æ“šç ”ç©¶çµæžœé¡¯ç¤ºï¼Œå—試者的「生ç†èƒŒæ™¯ã€å°æ–¼åœ–標åå¥½çš„é¸æ“‡ç”¢ç”Ÿäº†é¡¯è‘—å½±éŸ¿ï¼Œä¸»è¦æ˜¯åœ¨ã€Œæ·±æ·ºæ¨¡å¼ã€é¢¨æ ¼ç¯„æœ¬çš„ç¯©é¸æ–¹é¢ã€‚在測試éŽç¨‹ä¸åŠæ¸¬è©¦å¾Œï¼Œå–å¾—å—試者的實際æ“作å饋和事後訪談,ç²å¾—了三個æ¸ç´æ€§çµè«–,包括「å—試者æ“ä½œåæ‡‰å›žé¥‹ã€ã€ã€Œå—è©¦è€…èª¿æ•´é€ å½¢å好ã€å’Œã€Œå—試者事後感想分享ã€ã€‚é€™äº›çµæžœç›¸å°åæ˜ å€‹é«”å·®ç•°å°æ–¼æ•¸ä½ä»‹é¢è¨è¨ˆçš„èªçŸ¥éœ€æ±‚性,並æä¾›å€‹äººæ“作體驗的å饋,將å¯ç”¨æ–¼å„ªåŒ–介é¢è¨è¨ˆçš„個性化åå¥½ã€‚å¾ŒçºŒçš„ç ”ç©¶å»ºè°å¯ä»¥æ¶‰åŠæ›´å»£æ³›ã€å®Œæ•´çš„å—試者樣本,以åŠè¶¨è¿‘客製化的è¨è¨ˆè®Šç›¸ï¼Œä»¥æ·±å…¥æŽ¢ç©¶ä¸åŒç”¨æˆ¶ç¾¤é«”çš„å好和需求差異。
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Based on the personalized orientation of digital device interfaces, this study aims to investigate users' preferences for interface icon design. Through quasi-experimental design and optimization processes, interface simulations were subjected to user evaluations and tests, serving as experimental tools. The study employed purposive sampling to gather data and utilized quantitative analysis methods for data organization and comparison, while also summarizing post-test interview highlights. The research findings reveal that users' "physiological backgrounds" significantly influence their choices of icon preferences, particularly in the selection of "lightness-darkness mode" style templates. Throughout the testing and post-test phases, insights from users' actual interactions and interviews led to three overarching conclusions: "user feedback on interaction responses," "user adjustments to design preferences," and "user reflections post-test." These outcomes underscore the importance of individual differences in digital interface design perceptions and provide valuable feedback on personal operational experiences, which can be leveraged to optimize personalized interface preferences. Subsequent studies are recommended to involve broader and more diverse samples of users, along with approaches that lean toward customization in design variations, to delve deeper into the preferences and diverse needs among different user groups.
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