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研究生: Adinda Mutiara Santi
Adinda Mutiara Santi
論文名稱: 智能水產養殖系統用戶介面設計與評估
USER INTERFACE DESIGN AND EVALUATION OF INTELLIGENT AQUACULTURE SYSTEM
指導教授: 許聿靈
Yu-Ling Hsu
口試委員: 王孔政
Kung-Jeng Wang
林久翔
Chiu-Hsiang Lin
學位類別: 碩士
Master
系所名稱: 管理學院 - 工業管理系
Department of Industrial Management
論文出版年: 2022
畢業學年度: 110
語文別: 英文
論文頁數: 77
中文關鍵詞: 使用者介面智慧化水產養殖使用性評估
外文關鍵詞: User Interface, Intelligent Aquaculture, Usability Evaluation
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水產養殖在全球食品工業中扮演著重要的角色。隨著人們對魚類的需求不斷增加,水產養殖產業則滿足人們對於漁獲的需求,而因應科技的快速發展,智慧化水產養殖成為了提高水產養殖產量的全新可能。智慧化水產養殖通過新型技術,做到遠程監控水產養殖的生產過程。對於這項智慧化水產養殖的應用,其中最不可或缺的便是使用者介面 (UI)的建置,它允許用戶遠程監控並同時控制水產養殖的設施。 UI 的設計對於顯示決策的資訊來說非常重要。設計良好的 UI 設計將能夠提升使用者的決策速度並降低人為疏失。本研究旨在為智慧化水產養殖提供一套UI設計,通過對UI 設計的使用性評估,為現行智慧化水產養殖的 UI提出更進一步的開發建議。
本研究中的 UI 設計過程包括 (1) 用戶分析、任務分析和角色創建; (2)介面設計; (3)介面建置; (4) 介面驗證。在介面驗證過程中,進行使用性評估。評估內容包括性能測試、系統使用性量表 (SUS) 和用戶體驗問卷 (UEQ)以及訪談。使用性評估的參與者為臺灣科技大學的20名印尼學生和20名臺灣學生。本研究中創建的 UI 正在與現行的水產養殖 UI 進行比較。最終比對結果顯示,我們新設計的UI更適合只需使用到智慧化養殖基本功能的新手用戶。另外,大多數的參與者更喜歡我們新建置的UI的原因為我們使用了許多圖像提供簡潔的顯示內容,使他們更容易上手。


Aquaculture plays a big part in the global food industry. As the demand for fish is increasing, aquaculture production is expected to take a role in fulfilling this demand. The rapid development of technology has made it possible to improve aquaculture production through intelligent aquaculture. Intelligent aquaculture utilizes modern technologies to control aquaculture production remotely. One of many important components of this product is the User Interface (UI) that allows the user to monitor and control aquaculture facilities remotely. The design of UI is very important in displaying information that is being used to make a decision. UI with a good design will be able to increase human processing speed and reduce human error. This study aims to provide the UI design for intelligent aquaculture. Usability evaluation is conducted to evaluate the UI design and generate recommendations for further development of the intelligent aquaculture UI.
UI design process in this study includes (1) User analysis, task analysis, and persona creation; (2) Interface design; (3) Interface construction; and (4) Interface validation. During the interface validation process, a usability evaluation is conducted. The evaluation includes performance testing, System Usability Scale (SUS) and User Experience Questionnaire (UEQ) questionnaires, and interview. The participants of the usability evaluation are 20 Indonesian students and 20 Taiwanese students at National Taiwan University of Science and Technology. The UI created in this study is being compared to an existing UI. Based on the comparison, the newly designed UI is more suitable for novice users who only need basic functions of intelligent aquaculture. Most of the participants preferred this UI because it uses many icons, provides simple display, and easy to learn.

ABSTRACT ii ACKNOWLEDGEMENTS iii TABLE OF CONTENTS iv LIST OF ABBREVIATIONS vi LIST OF TABLES vii LITS OF FIGURES viii LIST OF EQUATIONS ix CHAPTER 1 INTRODUCTION 1 1.1. Background 1 1.2. Research Problem 2 1.3. Scope 2 1.3.1. Assumptions 2 1.3.2. Delimitations 2 1.4. Research Objectives 2 1.5. Research Benefits 3 1.6. Research Framework 3 CHAPTER 2 LITERATURE STUDY 5 2.1. Intelligent Aquaculture 5 2.2. User Interface (UI) Design 6 2.2.1. UI Design Process 6 2.2.2. UI Design Principles 7 2.2.3. Graphical User Interface (GUI) 9 2.3. Usability Evaluation 9 CHAPTER 3 STUDY METHODOLOGY 11 3.1. Study Object 11 3.2. Study Instruments 11 3.3. Study Stages 11 CHAPTER 4 RESULT AND DISCUSSION 17 4.1. UI Design 17 4.2. Usability Evaluation 23 4.2.1. Participants Demographic 23 4.2.2. Performance Testing Result 24 4.2.3. Questionnaire Result 29 4.2.3. Usability Score Comparison Between User with Different Background 33 4.3. Recommendation for Intelligent Aquaculture UI Design Improvement 39 CHAPTER 5 CONCLUSION 42 5.1. Conclusion 42 5.2. Suggestion for Future Research 42 REFERENCE 43 APPENDIX 47 Appendix A – Questionnaire Items 47 Appendix B - Interview Questions 50 Appendix C - New UI and Old UI Screenshots 51 Appendix D - T-Test Results 52

Alhadad, S. S. J. (2018) ‘Visualizing Data to Support Judgement, Inference, and Decision Making in Learning Analytics: Insights from Cognitive Psychology and Visualization Science’, Journal of Learning Analytics, 5(2), pp. 60–85. doi: 10.18608/jla.2018.52.5.
Bangor, A., Kortum, P. T. and Miller, J. T. (2008) ‘An empirical evaluation of the system usability scale’, Intl. Journal of Human–Computer Interaction. Taylor & Francis, 24(6), pp. 574–594.
Brooke, J. (2013) ‘SUS: a retrospective’, Journal of usability studies. Usability Professionals’ Association Bloomingdale, IL, 8(2), pp. 29–40.
Cahyadi, A. and Prananto, A. (2015) ‘Reflecting design thinking: A case study of the process of designing dashboards’, Journal of Systems and Information Technology, 17(3), pp. 296–306. doi: 10.1108/JSIT-03-2015-0018.
Chasanidou, D., Gasparini, A. A. and Lee, E. (2015) ‘Design Thinking Methods and Tools for Innovation’, Design, user experience, and usability: Design discourse, pp. 12–23. doi: 10.1007/978-3-319-20886-2.
Chen, J. W. and Zhang, J. (2007) ‘Comparing Text-based and Graphic User Interfaces for novice and expert users.’, AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, pp. 125–129.
Darejeh, A. and Singh, D. (2013) ‘A review on user interface design principles to increase software usability for users with less computer literacy’, Journal of Computer Science, 9(11), pp. 1443–1450. doi: 10.3844/jcssp.2013.1443.1450.
Evers, V. and Day, D. (1997) ‘The Role of Culture in Interface Acceptance’, Human-Computer Interaction INTERACT ’97, pp. 260–267. doi: 10.1007/978-0-387-35175-9_44.
Freepik Company S.L. (no date) Flaticon. Available at: https://www.flaticon.com/ (Accessed: 25 April 2022).
Galitz, W. O. (2007) The essential guide to user interface design: an introduction to GUI design principles and techniques. John Wiley & Sons.
Gervas, N. V (no date) ‘Analysis of user interface design methods’, Electronic resource]/NV Gervas, pp. 57–60.
Hinderks, A., Schrepp, M. and Thomaschewski, J. (2018) User Experience Questionnaire (UEQ). Available at: https://www.ueq-online.org/ (Accessed: 15 May 2022).
Ho, C. H. and Hou, K. C. (2015) ‘Exploring the attractive factors of app icons’, KSII Transactions on Internet and Information Systems, 9(6), pp. 2251–2270. doi: 10.3837/tiis.2015.06.016.
Horton, W. K. (1994) The icon book: Visual symbols for computer systems and documentation. John Wiley & Sons, Inc.
Huan, J. et al. (2020) ‘Design of water quality monitoring system for aquaculture ponds based on NB-IoT’, Aquacultural Engineering. Elsevier, 90(July 2019), p. 102088. doi: 10.1016/j.aquaeng.2020.102088.
International Organization for Standardization (2006) ISO 9241-110:2006 Ergonomics of human-system interaction — Part 110: Dialogue principles. Available at: https://www.iso.org/standard/38009.html (Accessed: 1 April 2022).
Jansen, B. J. (1998) ‘The graphical user interface’, ACM SIGCHI Bulletin, 30(2), pp. 22–26. doi: 10.1201/9781003218135-1.
Kinzie, M. et al. (2001) ‘A User-centered Model for Web Site Design ’:, Journal of the American Medical Informatics Association, pp. 320–330. doi: 10.1197/jamia.M0822.s.
Klug, B. (2017) ‘An overview of the system usability scale in library website and system usability testing’, Weave: Journal of Library User Experience. Michigan Publishing, University of Michigan Library, 1(6).
Kumar, G., Engle, C. and Tucker, C. (2018) ‘Factors Driving Aquaculture Technology Adoption’, Journal of the World Aquaculture Society, 49(3), pp. 447–476. doi: 10.1111/jwas.12514.
Lewis, C. and Rieman, J. (1993) ‘Task-centered user interface design’, A practical introduction.
Lewis, J. R. (2018) ‘Measuring perceived usability: The CSUQ, SUS, and UMUX’, International Journal of Human–Computer Interaction. Taylor & Francis, 34(12), pp. 1148–1156.
Li, D. and Li, C. (2020) ‘Intelligent aquaculture’, Journal of the World Aquaculture Society, 51(4), pp. 808–814. doi: 10.1111/jwas.12736.
Luo, H. P. et al. (2015) ‘Real-time remote monitoring system for aquaculture water quality’, International Journal of Agricultural and Biological Engineering, 8(6), pp. 136–143. doi: 10.3965/j.ijabe.20150806.1486.
Mandel, T. (1997) The elements of user interface design. Wiley New York.
Mustapha, U. F. et al. (2021) ‘Sustainable aquaculture development: a review on the roles of cloud computing, internet of things and artificial intelligence (CIA)’, Reviews in Aquaculture, 13(4), pp. 2076–2091. doi: 10.1111/raq.12559.
Othman, N. A. et al. (2020) ‘Automated water quality monitoring system development via LabVIEW for aquaculture industry (Tilapia) in Malaysia’, Indonesian Journal of Electrical Engineering and Computer Science, 20(2), pp. 805–812. doi: 10.11591/ijeecs.v20.i2.pp805-812.
Peres, S. C., Pham, T. and Phillips, R. (2013) ‘Validation of the system usability scale (sus): Sus in the wild’, Proceedings of the Human Factors and Ergonomics Society, (1), pp. 192–196. doi: 10.1177/1541931213571043.
Plattner, H., Meinel, C. and Weinberg, U. (2009) Design-thinking. Springer.
Power, D. J. (2002) Decision Support System: Concepts and Resources for Manager.
Preetham, K. et al. (2019) ‘Aquaculture monitoring and control system: An IoT based approach’, International Journal of Advance Research, Ideas and Innovations in Technology, 5(2), pp. 1167–1170.
Rosaline, N. and Sathyalakshimi, S. (2019) ‘IoT based aquaculture monitoring and control system’, Journal of Physics: Conference Series, 1362(1). doi: 10.1088/1742-6596/1362/1/012071.
Schrepp, M. (2019) ‘User experience questionnaire handbook. All you need to know to apply the UEQ successfully in your project version 8 (31.12. 2019)’.
Schrepp, M., Hinderks, A. and Thomaschewski, J. (2017) ‘Design and evaluation of a short version of the user experience questionnaire (UEQ-S)’, International Journal of Interactive Multimedia and Artificial Intelligence, 4 (6), 103-108. UNIR.
Shareef, Z. and Reddy, S. R. N. (2019) ‘Design and wireless sensor network analysis of water quality monitoring system for aquaculture’, Proceedings of the 3rd International Conference on Computing Methodologies and Communication, ICCMC 2019. IEEE, (Iccmc), pp. 405–408. doi: 10.1109/ICCMC.2019.8819844.
Sharfina, Z. and Santoso, H. B. (2016) ‘An Indonesian adaptation of the system usability scale (SUS)’, in 2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS). IEEE, pp. 145–148.
Sivakumar, S. and Ramya, V. (2021) ‘An Intuitive Remote Monitoring Framework for Water Quality in Fish Pond using Cloud Computing’, IOP Conference Series: Materials Science and Engineering, 1085(1), p. 012037. doi: 10.1088/1757-899x/1085/1/012037.
Sprinkle, T. (2018) What to do with empty big box stores? Turn them into fish farms. Available at: https://www.globalseafood.org/advocate/repurposing-retal-big-box-stores-becoming-fish-farms/ (Accessed: 25 April 2022).
Standardization, I. O. F. (1998) ‘ISO 9241-11: ergonomic requirements for office work with Visual Display Terminals (VDTs): Part 11: Guidance on Usability’. ISO.
Standardization, I. O. F. (2003) ‘International Standard: Ergonomics of Human-System Interaction’, 61010-1 © Iec:2001, 2003, p. 13.
Tacon, A. G. J. (2020) ‘Trends in Global Aquaculture and Aquafeed Production: 2000–2017’, Reviews in Fisheries Science and Aquaculture, 28(1), pp. 43–56. doi: 10.1080/23308249.2019.1649634.
Thies, I. M. (2014) ‘User interface design for low-literate and novice users: Past, present and future’, Foundations and Trends in Human-Computer Interaction, 8(1), pp. 1–72. doi: 10.1561/1100000047.
Tullis, T. S. and Stetson, J. N. (2004) ‘A Comparison of Questionnaires for Assessing Website Usability ABSTRACT : Introduction’, Usability Professional Association Conference, pp. 1–12. Available at: http://home.comcast.net/~tomtullis/publications/UPA2004TullisStetson.pdf.
Wang, Y., Lei, T. and Liu, X. (2020) ‘Chinese System Usability Scale: Translation, Revision, Psychological Measurement’, International Journal of Human-Computer Interaction. Taylor & Francis, 36(10), pp. 953–963. doi: 10.1080/10447318.2019.1700644.
Wiedenbeck, S. (1999) ‘The use of icons and labels in an end user application program: an empirical study of learning and retention’, Behaviour & Information Technology. Taylor & Francis, 18(2), pp. 68–82.

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