臺灣博碩士論文加值系統

According to self-determination theory, achieving self-determination through the achievement of personal pursuits, not only contributes to self-formation but also fulfills a basic psychological need. The problem is, that despite the necessity of this progression, individuals fail to achieve their goals on a regular basis. With an increase in smartphone notifications from media companies that encourage distraction, self-regulation has become even more challenging. Distractions are the loss of mental autonomy, taking us away from our intentional actions. To self-regulate is to be aware of our goals, to see our actions in goal congruency, and adjust accordingly. Thus, this study proposes the "Pursuits App" as a tool for bringing awareness to intentions and providing feedback on self-regulation. In this study, we evaluate how the user's level of notification fatigue affects the desirability of prompt-oriented features according to different demographic factors.
The first step in this study is to gather context information from 34 participants on the actual needs of those affected by this problem space using a user-centered design framework. The findings of a pilot study indicate that 78.8% of participants rate importance as 6/7 or higher for progressing pursuits and that distractions and insufficient energy greatly hinder traction. Eight user interviews with participants were reviewed and summarized into a persona, emphasizing the need for guidance, structure, regular awareness, and sustained traction. After that, we proposed a conceptual, but non-functional, yet visually realistic representation of a functional mobile application. To conclude, 32 participants evaluated the prototype by answering three questions related to functional performance, customer satisfaction, and self-reported importance of the features.
The results of the study indicate that the user profile of full-time workers aged 27-35 and predominantly culturally identifying as East or Southeast Asian is highly relevant to maintaining awareness of traction towards pursuits. There is a positive correlation between the overall features of the product and "attractive" or "performance" qualities, likely reflecting the novelty of the product category and the lack of precedent and user expectations. As notification fatigue increased, the rating importance of weekly prompts declined, while the rating importance of end-of-commitment-cycle prompts remained consistent across all user groups. There is a need for future research to investigate other types of personas, such as those who are not working or aged 23-26 or to expand the respondents beyond those who relate to the persona in order to understand more in-depth what unique characteristics may influence app usage.

According to self-determination theory, achieving self-determination through the achievement of personal pursuits, not only contributes to self-formation but also fulfills a basic psychological need. The problem is, that despite the necessity of this progression, individuals fail to achieve their goals on a regular basis. With an increase in smartphone notifications from media companies that encourage distraction, self-regulation has become even more challenging. Distractions are the loss of mental autonomy, taking us away from our intentional actions. To self-regulate is to be aware of our goals, to see our actions in goal congruency, and adjust accordingly. Thus, this study proposes the "Pursuits App" as a tool for bringing awareness to intentions and providing feedback on self-regulation. In this study, we evaluate how the user's level of notification fatigue affects the desirability of prompt-oriented features according to different demographic factors.
The first step in this study is to gather context information from 34 participants on the actual needs of those affected by this problem space using a user-centered design framework. The findings of a pilot study indicate that 78.8% of participants rate importance as 6/7 or higher for progressing pursuits and that distractions and insufficient energy greatly hinder traction. Eight user interviews with participants were reviewed and summarized into a persona, emphasizing the need for guidance, structure, regular awareness, and sustained traction. After that, we proposed a conceptual, but non-functional, yet visually realistic representation of a functional mobile application. To conclude, 32 participants evaluated the prototype by answering three questions related to functional performance, customer satisfaction, and self-reported importance of the features.
The results of the study indicate that the user profile of full-time workers aged 27-35 and predominantly culturally identifying as East or Southeast Asian is highly relevant to maintaining awareness of traction towards pursuits. There is a positive correlation between the overall features of the product and "attractive" or "performance" qualities, likely reflecting the novelty of the product category and the lack of precedent and user expectations. As notification fatigue increased, the rating importance of weekly prompts declined, while the rating importance of end-of-commitment-cycle prompts remained consistent across all user groups. There is a need for future research to investigate other types of personas, such as those who are not working or aged 23-26 or to expand the respondents beyond those who relate to the persona in order to understand more in-depth what unique characteristics may influence app usage.

ABSTRACT i
Acknowledgements iii
Table of Contents iv
List of Tables vii
List of Figures viii
Chapter 1 Introduction 1
1.1 Research Background & Motivation 1
1.2 Research Objectives & Questions 3
1.3 Research Limitations 3
1.4 Research Contributions 4
1.5 Research Structure Overview 6
Chapter 2 Literature Review 8
2.1 Self-Determination & Well-Being 8
2.2 Challenges of Pursuit Traction 9
2.2.1 New Distractions in the Economy of Attention 9
2.2.2 Distractions & The Loss of Attention 11
2.3 Role of Awareness When Self-Regulating 12
2.3.1 Awareness of Goal-Congruent Behavior 12
2.3.2 Self-Regulated Learning 13
2.3.3 Role & Use of Smartphone Notifications 14
2.4 Summary of Literature Review 15
2.4.1 Behavioral Model Hypothesis 15
Chapter 3 Research Methodology 17
3.1 Research Framework 17
3.2 Analysis of User Context 19
3.2.1 Analysis of Existing Landscape of Tools 20
3.2.2 Pilot Study Questionnaire for Target User Profile 21
3.2.3 Focus Interviews for User Scenario & Needs 23
3.2.4 Establishing A User Scenario & User Needs 27
3.3 Analysis of User Experience 28
3.3.1 User Journey Mapping 29
3.3.2 Service Blueprint Analysis 30
3.3.3 QFD Analysis for Feature Prioritization Method 31
3.4 Conceptual Prototyping 33
3.4.1 Visual Prototyping 33
3.5 Design Evaluation 35
3.5.1 Kano Model Analysis Method 36
Chapter 4 User Research & Analysis Results 42
4.1 User Research Results 43
4.1.1 Pilot Study Questionnaire Results & Insights 43
4.1.2 Focus Interview Study Results 49
4.1.3 User Analysis Results 51
4.1.4 Design Problem Definition 53
4.2 User Experience Analysis 55
4.2.1 Analysis of Existing Experience 55
4.2.2 Analysis of Proposed Experience 57
4.2.3 Service Blueprint Analysis for Target Interactions 58
4.3 Design Requirements 61
4.3.1 Proposed Features 61
4.3.2 QFD Analysis on User Needs vs. Features 62
Chapter 5 Design Evaluation Results 66
5.1 Design Proposal 66
5.1.1 System Task Flow Diagram 66
5.1.2 A: Commitment Setup & Initial Planning 67
5.1.3 B: Weekly Planning 69
5.1.4 C: Daily Execution & Logging 70
5.1.5 D: Commitment Reflections 72
5.2 Kano Analysis Results on Proposed Features 74
5.2.1 Respondents Demographics 74
5.2.2 Overall Continuous Analysis 75
5.2.3 Continuous Analysis of Demographics 78
5.2.4 Specific Feature vs. Response 81
5.2.5 Kano Results vs. QFD Analysis 86
5.3 Discussions 87
5.3.1 Relevance of UCD Generated Customer Segment 88
5.3.2 Demographic Attributes & Feature Attraction 89
5.3.3 Notification Fatigue & Prompt-Oriented Features 91
5.3.4 Desirable Feature Implementation 92
Chapter 6 Conclusion & Future Studies 94
References 97
Appendix A: Pilot Study Full List of Questions 101
Appendix B: User Interview Direct Quotes 102

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