集體決策自古以來一直是人類發展中很重要的一項活動。隨著通訊技術的進步，集體決策的活動已經漸漸地從當面決策、語音決策，發展至透過通訊平台做決策。這篇論文旨在了解人們在通訊平台上集體決策的行為，而為了這個目的，本篇論文也提出了一個全新的投票服務、全新的使用經驗，稱為Q-Sticker，並且透過一個樣本數為15人的質化研究，以及一個樣本數為213人的量化研究來對使用者投票行為進行一個完整的觀察及記錄，順便根據在研究中的發現來推測未來在投票的使用經驗上有什麼樣的可能性。在第四章以及第五章的結果分析當中，我們列出了很多使用者在訪談及測試的過程中，所提出的想法及回饋。另外在第六章的討論當中，我們對使用者所提出的意見做了一個總整理，將使用者的投票行為之影響因素歸納成三大項：使用情境、使用者本身的特徵以及使用者在使用經驗上的痛點。在這些發現跟討論當中，除了對使用者的投票行為有更深的了解之外，本篇論文也證明了Q-Sticker在未來所引領出的一個全新的使用經驗之可能性。對於未來想要開發決策平台的開發者，本篇論文會是對於使用經驗、使用者分群以及點子發想，一個很好的參考。

Decision making has been an activity of human beings all the time. As a result of the rapid evolution of social technology, this activity has been transferred gradually into social network services. This paper is aimed to work on the issue of decision making among a group of people through a proposed technology: Q-Sticker. We tried to understand users’ behavior of voting online by conducting both qualitative and quantitative study which involved over 200 participants in total and during these studies, we proposed Q-Sticker to our participants as to observe users’ voting behavior from a different point of view and to foresee new voting experiences in the future. We listed many opinions and feedbacks from our users’ point of view in the result section of our studies, and we had an overall discussion about these findings which can be inducted into three main points: users’ voting behaviors may be influenced by user scenario, users’ identity and users’ current pain points. Beside to the deeper understanding of user’s voting behaviors, the findings and discussions in this thesis has also proved that Q-Sticker can be a new user experience in the future, and it can be a reference to the developers that are working on technology toward decision making.

Abstract I
中文摘要 III
Table of Contents IV
List of Figures VI
List of Tables VII
Chapter 1 Introduction 1
Chapter 2 Related Works 4
2.1 The Social Media Ecology 4
2.2 Chat Bots and Social Media 5
2.3 Non-textual Communication in Mobile Instant Messengers 5
Chapter 3 Q-Sticker Design and Implementation 7
3.1 User Flow Design 7
3.2 Back-end Server Design 11
3.2.1 Database Design 11
3.2.2 BOT Messages Handling Rules Design 13
3.3 Front-end User Interface Design 14
3.3.1 Web Server Environment 14
3.3.2 Web User Interface Environment and Design 15
3.3.3 Line BOT User Interface Design 17
Chapter 4 Qualitative Study: In-person Interview 20
4.1 Experimental Design 20
4.1.1 Participants 21
4.1.2 Procedure 21
4.1.3 Material 22
User Stories Gathering 22
High-Fidelity Prototype Present and User Testing 22
Discussions and Feedbacks 23
4.2 Results 24
4.2.1 Daily Voting Behaviors 24
4.2.2 Findings from Q-Sticker Testing 25
4.2.3 Discussion about Future Technology 28
Chapter 5 Quantitative Study: Online Study 31
5.1 Experimental Design 31
5.1.1 Participants 31
5.1.2 Material 32
User Stories Gathering 32
Video Prototype Present 33
Discussions and Feedbacks 33
5.2 Results 34
Chapter 6 Discussion 39
User Scenario 39
User Identity 40
User’s Current Pain Points 42
Chapter 7 Conclusion and Future Works 43
References 44

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