在數位服務與線上消費日趨普及的當代，介面設計對於使用者體驗的影響更加受到重視。因此，本研究以網頁式線上點餐系統為例，透過結構式問卷和訪談蒐集使用者對於介面的語意評價及主觀感受，亦測量使用者與介面互動過程中的視線行為及操作績效，一方面運用感性工學方法分析較有助於促進使用者滿意度與正向體驗的設計參數組合，另一方面則探討能否藉由使用者的客觀反應支持或彌補其主觀評價的可信度。
本研究先蒐集適用於評價網頁式線上點餐系統的介面之感性形容辭彙，再透過網路問卷與相關領域專家挑選出較適合描述介面本身帶給消費者感受之感性語彙，包含13組成對與5組非成對的形容詞，另亦選定以標準化使用者體驗百分位排名問卷（Standardized User Experience Percentile Rank Questionnaire, SUPR-Q）綜合反映其自覺的使用體驗。
在互動實驗中，本研究招募30位24.1±1.7歲之本國籍人士，請其與本研究自行設計的8種介面（餐點圖示為「寫實圖像」或「繪畫圖像」，按鈕型態為「複選框」或「步進器」，另餐點「依熱銷程度遞減」或「依價格遞增」排序，即涵蓋三種設計參數之變異）互動，過程中以眼球軌跡追蹤儀同步蒐集參與者的視線停留時間、回訪次數，並輔以螢幕錄影記錄完成任務時間、錯誤次數，並蒐集參與者對介面設計的語意評價、滿意度與使用體驗，最後再透過訪談以瞭解參與者最為偏好的設計組合與其他想法、感受。
經數量化理論一類分析結果發現，「寫實圖像、步進器、依熱銷程度遞減排序」的設計組合最能提升滿意度與使用體驗，「寫實圖像、步進器、依價格遞增排序」則較能降低回訪次數、縮短完成時間與降低錯誤次數；由此可見，主觀和客觀的感性工學分析建議並不一致，尚無法支持「以基於客觀反應指標之評估結果驗證基於主觀評價之介面感性評估」的可行性，故本研究以過往感性工學研究較常使用的主觀評價之分析結果作為最終建議，並以歸納主題式分析討論可能的原因，再提出不同評估指標的適用情境。

As digital services and online consumption expand, interface design becomes crucial to user experience. Hence, this study took the web ordering system as an example to collect users’ semantic evaluation and subjective perception toward interface design by using structured questionnaires and interviews, as well as measuring gaze behavior and task performance during interaction. Kansei engineering methods were applied to identify design parameter combinations that enhance satisfaction and positive experience, and to examine whether objective responses could support or compensate for the subjective evaluation.
First, 13 paired and 5 unpaired adjectives were selected through online surveys and expert review, and the Standardized User Experience Percentile Rank Questionnaire (SUPR-Q) was adopted to assess perceived usability. Following this preparation, in the interactive experiment, 30 participants (aged 24.1 ± 1.7) interacted with 8 interface variations associated with 3 design parameters, including meal image (“realistic” vs. “illustrated”), button type (“checkbox” vs. “stepper”), and sorting method (“descending order of sale” vs. “ascending order of price”). Meanwhile, the participant’s duration of fixation and number of revisits were collected using the eye-tracking system, along with task completion time and error counts via screen recordings.
The results of Quantification Theory Type I analysis revealed that the combination of “realistic images, steppers, and descending order of sale” best enhanced satisfaction, while “realistic images, steppers, and ascending order of price” yielded better performance. Given the divergence between subjective and objective outcomes, the final recommendation was based on the subjective evaluation. Moreover, the application context for each evaluation measure was proposed following the results of inductive thematic analysis.