生活於行動網絡與社群網站發展快速的今日，人們逐漸依賴利用隨手可得之行動裝置紀錄生活，打卡儼然成為生命紀錄的方式之一。本研究致力於提供使用者個人化之打卡系統，讓使用者在選用群眾所推薦的地理標籤名稱之餘，同時保有個人化情感傾向特色之地理標籤名稱。透過基於地緣情感關係連結之群眾推薦地理標籤名稱，我們提供更貼近使用者個人情感偏好之地理標籤，讓使用者在省下自行建立個人化地理標籤名稱上的繁瑣程序的同時，還能同時保有個人化特色，更能夠作為未來回憶時之線索。在實驗設計上，我們邀請共二十八位受試者使用本研究所開發之打卡系統，利用三週的時間真實模擬生活中的打卡情況。我們分析受試者進行打卡時所選用的地理標籤名稱來源作為評估之依據，透過實驗結果顯示基於地緣情感關係連結之群眾推薦地理標籤名稱模型，能夠推薦較適合的地理標籤名稱給使用者使用。因此本研究有效利用特定群眾之力量協助使用者建立個人化之地理資訊。 / In the present, people used to have one or more mobile devices. With the mobile devices thriving, the social network is also getting more popular. People rely on the mobile devices or social network to record their lives—“Check in” is becoming a kind of “lifelog”. Our research provides user a customized check in system, which can free users from the troublesome procedures, naming the geotag by their own, meanwhile; they can still have their own style. Furthermore, this customized name of geotag will be the hint to their memory in the future. When it comes to the experiment, we have 28 users experience our check in system, and we spent three weeks to simulate the situation of check in in the real life. We analyze the users’ name of geotag and use it as the result to estimate. According to the result of our experiment, the Location-Based Emotion Connected model can recommend a better name of geotag to the users. Consequently, our research the effective help people to construct personalizes geographic information.

生活於數位時代，巨量的個人生命記憶使得人們難以輕易解讀，必須經過檢索或標籤化才可以進一步瞭解背後的意涵。本研究著力個人記憶裡繁瑣及週期性的廣泛事件，進行於「情節記憶語意化」以及「何以權衡大眾與個人資訊」兩議題之探討。透過生命記憶平台裡影像標籤自動化功能，我們以時空資訊為索引提出持續性概念重構模型，整合共同知識、個人近況以及個人偏好三項因素，模擬人們對每張照片下標籤時的認知歷程，改善其廣泛事件上註釋困難。在實驗設計上，實作大眾資訊模型、個人資訊模型以及本研究持續性概念重構模型，並招收九位受試者來剖析其認知歷程以及註釋效率。實驗結果顯示持續性概念重構模型解決了上述大眾與個人兩模型上的極限，即舊地重遊、季節性活動、非延續性活動性質以及資訊邊界註釋上的問題，因此本研究達成其個人生命記憶在廣泛事件之語意標籤自動化示範。 / In the digital era, labeling and retrieving are ways to understand the meaning behind a huge amount of lifetime archive. Foucusing on tedious and periodic general events, this study will discuss two issues: (1) the semantics of episodic memory (2) the trade-off between common and personal knowledge. Using the automatic image-tagging technique of lifelong digital archiving system, we propose the Coutinuous Reconceptualization Model which models the cognitive processing of examplar categorization based on temporal-spatial information. Integrating the common knowlegde, current personal life and hobby, the Continuous Reconceptualization Model improves the tagging efficiency. In this experiment, we compare the accuracy of cognitive modeling and tagging efficiency of the three distinct models: the common knowledge model, personal knowledge model and Coutinuous Reconceptualization Model. Nine participants were recruited to label the photos. The results show that the Continous Reconceptualization Model overcomes the limitations inherent in other models, including the auto-tagging problems of modeling certain situations, such as re-visiting places, seasonal activities, noncontinuous activities and information boundary. Consequently, the Continuous Reconceptualization Model demonstrated the efficiency of the automatic image-tagging technique used in the semantic labeling of the general event of personal memory.

生活於手機相機普及的今日，人們逐漸依賴隨手可得的行動裝置記錄生活，影像記錄儼然成為今日人們記錄生活的方式之一。本研究致力於提供使用者個人化之飲食管理系統，讓使用者在利用影像記錄飲食之時，改變自身的多樣性飲食攝取行為，讓個體更為健康。透過健康控制與社會認知理論，我們以影像後設資料的運用，增加自我效能，提供使用者方便的飲食記錄方式、以及更能掌握自身的營養狀況，讓使用者在記錄飲食的同時，還能改變自身飲食攝取行為，更能作為未來回憶飲食狀況之線索。在實驗設計上，我們邀請6位受試者使用本研究所開發的飲食管理系統，利用兩週的時間真實模擬生活中的飲食記錄環境。我們分析使用者實驗前後的自我效能問卷，以及所記錄的飲食記錄作為評估依據。實驗結果顯示，我們的系統能夠提升個體自我效能外，還能夠改變個體的飲食攝取行為。因此本研究有效促進自我效能感協助使用者在記錄生活，讓個體飲食更加健康 / In these days, as the popularity of smart phone grows, people tend to rely on mobile devices to record their lives. Digital photograph has become one of the ways people recording their daily lives. This research is aimed at providing users with personalized dietary management system, allowing users not only use photos to record their life, but also change their behavior to keep users in good health. Based on health control and social cognitive theory, this application utilizes the metadata of the images to enhance self-efficacy, to provide users an easier way to record their dietary and take better control of their own health. Furthermore, the data of the application allows users to recall the dietary and thus improves users’ dietary habits. For the experimental design, 6 subjects were invited to use rthis dietary management application, to record their daily dietary in two weeks. The subjects were asked to use the system, and answer a questionnaire related to the self-efficiency of their adequate dietary after using the application. Experimental results shows that this system not only helps users enhance individual self-efficacy in dietary but also change their dietary habit to achieve the goal of balanced dietary and in good health.