隨著智慧型手機的發展與普及，越來越多使用者以行動即時通訊軟體作為人際溝通主要媒介，取代電話溝通與面對面交談，由於表情貼圖能彌補文字溝通上非語言線索不足之問題，讓溝通變得生動有趣，近年來也成為即時通訊軟體關注的重點功能之一。但在以貼圖作為溝通的過程中，介面搜尋效率與體驗感受將會影響使用者滿意度，因此本研究目的為，針對行動即時通訊軟體貼圖搜尋功能進行研究，探討使用者之偏好與需求，並進一步探討加入智能排序與情緒標籤搜尋功能是否能增進貼圖傳送效率與使用者滿意度。

本研究包含兩部分實驗：(1)前導性實驗：透過調查研究與測試，釐清目前即時通訊軟體之貼圖功能介面問題，並透過訪談了解使用者需求；(2)驗證實驗：依據前導性實驗之成果，設計模擬實驗樣本，探討不同貼圖搜尋選單介面對使用性與使用者主觀感受上之變化。

驗證實驗採2(智能排序) x 3(情緒標籤搜尋形式)雙因子實驗方式進行，「智能排序」採取兩層級：(1)無智能排序：貼圖不依使用行為改變排序；(2)有智能排序：依使用頻率自動排序常用貼圖。而「情緒標籤搜尋形式」分為三層級：(1)階層式：情緒標籤列以層疊排列於貼圖縮圖欄上方；(2)換頁式：以跳頁形式呈現情緒標籤頁；(3)覆蓋式：情緒標籤列覆蓋取代貼圖縮圖欄位置。

研究結果顯示：(1)採用「有智能排序」之貼圖介面能提高貼圖搜尋效率，也是使用者較青睞的介面；(2)「情緒標籤搜尋」功能符合使用情境需求，並有助於提升貼圖溝通之精準度；(3)在介面呈現與軟體學習性上，「有智能排序」之貼圖選單介面有較高使用者滿意度；(4)能透過手勢直覺操作的「覆蓋式」介面能提高操作效率；(5)「覆蓋式」介面有比較良好的學習性。

Following the development and popularization of smartphones, a growing number of users are using mobile messaging apps as their primary device of interpersonal communication, replacing phone calls and face to face conversations. Since emoticons are able to compensate for the issue of non-language clues, they make communication more vivid and interesting and have thus become a key function of messaging apps in recent years. In the process of using emoticons, the interface search efficiency and experience will affect user satisfaction. Hence, this study examines emoticon search functions of messaging apps, user preferences and requirements, and further examines whether if smart sorting and emotion tags can improve the efficiency of sending emoticons and increase user satisfaction.

The experiment in this study consists of two stages: (1) Pre-test: Issues with the emoticon function interface of current messaging apps are clarified through the survey and tests, and user requirements are learned through interviews; (2) Verification experiment: Samples of the simulation experiment are designed based on results of the pilot experiment, and changes in users’ perception resulting from the use of different emoticon search interfaces are examined.

The verification experiment is conducted on a 2 (smart sorting) x 3 (emotion tag search) two-factor experiment. Smart sorting has two levels: (1) No smart sorting: the order of emoticons is not changed based on user behavior; (2) Smart sorting: commonly used emoticons are automatically sorted based on the frequency of use. Emotion tags are divided into three levels: (1) Hierarchical: The emotion tag bar is arranged above the thumbnails of emoticons; (2) Page change: Emotion tags are displayed in pages; (3) Cover: The emotion tag bar replaces the position of the emoticon thumbnails.

The results show that: (1) An emoticon interface with smart sorting can improve emoticon search efficiency and is preferred by users; (2) The emotion tag search function meets requirements of usage situations, and improves the accuracy of communication with emoticons; (3) In interface presentation and software learning, an emoticon interface with smart sorting achieves higher user satisfaction; (4) An intuitive covering interface operated by hand gestures can improve operating efficiency; (5) A covering interface is easier to learn.

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