臺灣博碩士論文加值系統

先前關於可中斷性的研究主要集中在為使用者識別處理通知的適當時刻或可中斷性。但是，沒有太多研究關於如果使用者在看注通知之前就知道通知的信息，將如何管理通知。為了實現這一目標，本研究首度嘗試了根據不同的通知種類更改提示音（鈴聲或振動）。首先，我們舉辦了一個共同設計研討會，以了解使用者希望馬上知道的通知以及他們想要如何收到提醒。我們知道了使用者想馬上看的六類通知。然後我們開發了一個Android的應用程式：NotiSpeculae，它會根據使用者定義的類別用自定義提示音來替換原來的提示音。接著我們讓37名研究參與者安裝了NotiSpeculate並進行為期3週的ESM 研究發現：首先，提示音的特徵、使用者定義類別的關鍵字設置、感知干擾、猜測和通知的選擇性參與會相互影響。其次，該研究提出了使用者可能知道通知來源的時刻。最後，我們針對旨在提高通知猜測或選擇性參與的系統或應用程序提出了一些設計建議。

Prior studies on interruptibility have concentrated on identifying opportune moments or interruptibles for users to deal with notifications. However, there hasn't been much study about how notifications would be managed if users know the information of them before attending to them. In order to reach this goal, this study outlines the first research effort to change the alert (ringtone or vibration) that brings information about an arriving notification. First, a co-design workshop was conducted to identify the notifications users wanted to know right away and how they wanted to be reminded. We knew six categories of notifications that users wanted to know about immediately. Then we developed NotiSpeculae, which was developed in Android and replaces the original alert with a customized alert depending on user-defined categories. A 3-week ESM study with 37 users who used NotiSpeculate demonstrates that, first, alerts' characteristics, keyword setting of user-defined categories, perceived disturbance, speculation and selective attendance on notifications would effect each other. Second, the moments that users would probably know the source of notifications. Finally, some design recommendations for systems or apps that aim at improving notification speculation or attentiveness were made.

摘要 i
Abstract ii
Acknowledgement iii
Table of Contents iv
List of Figures vi
List of Tables viii
1 Introduction 1
2 Related work 4
3 Methodology 6
3.1 Co-Design Workshop 6
3.1.1 Six categories that participants would like to see immediately 9
3.1.2 Thoughts on Ringtone and Vibration 9
3.2 Vibration And Ringtone Design 9
3.2.1 Designing of vibration 9
3.2.2 Designing of ringtone 10
3.3 Participant Recruitment 11
3.4 Preset of the second experiment 12
3.4.1 Self-defined notification’s categories and their corresponding keyword
setting 12
3.4.2 ringtone setting 13
3.4.3 vibration setting 14
3.4.4 preset schedule 15
3.5 Experience Sampling Study 15
3.6 Study Procedure and Data Collection 16
3.7 Data Cleaning and Analysis 18

4 Results 22
4.1 How participants set their categories 22
4.1.1 keywords setting and their triggering rate 22
4.1.2 categories and keywords setting basis 23
4.1.3 Keyword is not easy to set 24
4.1.4 Selection basis on ringtone/vibration 24
4.2 NotiSpeculate did help speculating the source of the notification 25
4.2.1 Customized alert did help speculating notification’s source 25
4.2.2 Correctness of speculation were relate to what trigger the notification’s
category 26
4.3 NotiSpeculate improve the effectiveness of selective attendance partially 30
4.3.1 Customized alerts help participants decide to attend to notifications 30
4.3.2 Decide not to attend but seems the decision was unhelpful 31
4.4 Condition Context Aware help speculating in partial 32
4.5 NotiSpeculate did not cause additional disturbance 35

5 DISCUSSION 38
5.1 Alert’s impact on speculation and attendance 38
5.2 Keyword setting’s impact on speculation and attendance 39
5.3 Confidence on selective attendance 40
5.4 trade off between alerts and disturbance 40
6 Research Limitation 43
7 Conclusion 45
References 46

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