本研究透過執行服務設計中的雙鑽石模型的4D流程，分別是：探索(Discover)、定義(Define)、發展(Develop)、傳遞(Deliver)，來完成對手機照片標註服務相關背景的雛型發展與雛型測試，並從中探討人工智慧賦能的使用者經驗。研究過程中發現，在個人照片管理的相關領域，市面上利用人工智慧賦能的相關產品，沒有將其人工智慧賦能融入使用者實際的顧客旅程中，人工智慧的賦能尚未在照片管理中帶給使用者使用行為上的正向影響，加上相關產品彼此間的相仿，致使在個人管理照片為目的沒有強烈的期望與意圖。
在以上前提下，本研究透過使用者調查，描繪出顧客旅程以及人物誌，進行對使用者行為與需求的分析，並且根據結果尋找真實使用者進行服務設計的共創，產出將人工智慧賦能融入手機照片標註服務的各種創意應用，並設計服務藍圖將共創結果包裝成完整的系統雛型，從中測試在人工智慧賦能下手機照片標註服務中，讓使用者感知的服務價值在功能面和情感面對App使用滿意度，甚至是採用意圖的影響。
結果發現，在手機照片標註服務中，人工智慧的賦能必須設計在使用者真實的應用情境中，讓人工智慧根據使用者的命令或行為，合理的支援使用者當下的任務，並讓使用者能掌握人工智慧產出的結果，以確保結果符合需求，最後在以上前提下，若能在服務中透過人工智慧賦能或是其他功能創造趣味點，能更加提升使用者在手機照片標註服務中的體驗。

This study completed the 4D process of the Double Diamond Model in service design, namely, Discover, Define, Develop, and Deliver, to complete prototype development and testing tasks for the mobile photo annotation service, and explore the user experience empowered by artificial intelligence. In the research, we found the related fields of personal photo management using artificial intelligence (AI) in the market did not fully integrate AI into the actual customer journey of the user. There have no positive impacts of the artificial intelligence on users’ behavior identified in the area of applications, such as photo management; thus, it has created a high demand for bringing AI to assist personal photo management.
Under the above premise, this study conducts cultural probe to depict customer journey maps and personas, to analyze user behaviors and needs, and then bring users to the process of co-created service value. We then integrate the artificial intelligence empowerment into various creative applications of mobile photo annotation services, and design service blueprints to package the co-creation results into a complete system prototype, from which to test how the service value functionally and emotionally perceived by the user can affect app usage satisfaction.
We found that in the mobile phone photo annotation service, the artificial intelligence must be designed in a user’s real situation, allowing the artificial intelligence to reasonably support the user's current task according to his/her command or behavior, and let him/her able to grasp the results of artificial intelligence output to ensure that the results meet the needs. Finally, we specify the service through artificial intelligence empowerment or other functions can surely enhance the user's mobile photo annotation service experience.

中文文獻
安德魯．麥克費與艾瑞克．布林優夫森（2017）。機器，平台，群眾（李芳齡，譯）。台北：遠見天下文化出版有限公司。（原著出版於2017年）

布林優夫森與麥克費（2014）。第二次機器時代，智慧科技如何改變人類的工作、經濟與未來（齊若蘭，譯）。台北：遠見天下文化出版有限公司。（原著出版於2014年）

洪小文（2018年6月14日）。HI+AI：電腦是最好的左腦【數位時代】。取自https://www.bnext.com.tw/article/49016/hi-ai--human-machine-collaboration

洪小文（2018年7月27日）。人機協同，賦能未來：機器會產生自我意識嗎？。【數位時代】。2019年7月4日，取自https://www.bnext.com.tw/article/49963/hi-ai-robot-human

薩帝亞‧納德拉（2018）。刷新未來：重新想像AI+HI智能革命下的商業與變革
（謝儀霏，譯）。台北：遠見天下文化出版有限公司。（原著出版於2018年）

英文文獻
Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behaviour.

Babin, B. J., Darden, W. R., & Griffin, M. (1994). Work and/or fun: measuring hedonic and utilitarian shopping value. Journal of consumer research, 20(4), 644-656.

Blomkvist, S. (2002). Persona–an overview. Retrieved November, 22, 2004.

Carte, T. A., & Russell, C. J. (2003). In pursuit of moderation: Nine common errors and their solutions. MIS quarterly, 479-501.

Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003). A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Information systems research, 14(2), 189-217.

Cohen, J. (2013). Statistical power analysis for the behavioral sciences. Routledge.

Council, D. (2005). A study of the design process. Paper presented at the Design Council, UK

Cooper, A. (2004). The inmates are running the asylum:[Why high-tech products drive us crazy and how to restore the sanity](Vol. 2). Indianapolis, IN: Sams.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace 1. Journal of applied social psychology, 22(14), 1111-1132.

Decrop, A. (1999). Triangulation in qualitative tourism research. Tourism management, 20(1), 157-161.

DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information systems research, 3(1), 60-95.

Dishaw, M. T., & Strong, D. M. (1999). Extending the technology acceptance model with task–technology fit constructs. Information & management, 36(1), 9-21.

Ellis, W. T. (2016). Information Scraps in the Smartphone Era(Doctoral dissertation, Virginia Tech).

Gaver, B., Dunne, T., & Pacenti, E. (1999). Design: cultural probes. interactions, 6(1), 21-29.

George, D., & Mallery, P. (2003). Reliability analysis. SPSS for Windows, step by step: a simple guide and reference. Boston: Allyn & Bacon, 222, 232.

Goncalves, A., & Saco, R. (2009). The new wave of innovation: service design. International Journal of Innovation Science, 1(1), 51-59.

Goodhue, D. L., & Thompson, R. L. (1995). Task-technology fit and individual performance. MIS quarterly, 213-236.

Grudin, J. (2006). Why personas work: The psychological evidence. The Persona Lifecycle, 642-663.

Hackman, J. R. (1969). Toward understanding the role of tasks in behavioral research. Acta psychologica, 31, 97-128.

Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis 6th Edition. Pearson Prentice Hall. New Jersey. humans: Critique and reformulation. Journal of Abnormal Psychology, 87, 49-74.

Holmlid, S., & Evenson, S. (2008). Bringing service design to service sciences, management and engineering. In Service science, management and engineering education for the 21st century (pp. 341-345). Springer, Boston, MA.

Hirschman, E. C., & Holbrook, M. B. (1982). Hedonic consumption: emerging concepts, methods and propositions. Journal of marketing, 46(3), 92-101.

Holbrook, M. B., & Hirschman, E. C. (1982). The experiential aspects of consumption: Consumer fantasies, feelings, and fun. Journal of consumer research, 9(2), 132-140.

Hsiao, C. H., Chang, J. J., & Tang, K. Y. (2016). Exploring the influential factors in continuance usage of mobile social Apps: Satisfaction, habit, and customer value perspectives. Telematics and Informatics, 33(2), 342-355.

Idoughi, D., Seffah, A., & Kolski, C. (2012). Adding user experience into the interactive service design loop: a persona-based approach. Behaviour & Information Technology, 31(3), 287-303.

Joaquin, Q. C.(2017, Fed 2). Building scalable systems to understand content [Facebook Code]. Retrieved from https://code.fb.com/ml-applications/building-scalable-systems-to-understand-content/

Kotler, P., & Keller, K. (2003). Marketing Management, (international version).

Likert, R. (1932). A technique for the measurement of attitudes. Archives of psychology.

Nick, B. (2012, Sept 18). For Social Companies, a Battle to Own Photography [The New York Times]. Retrieved from https://bits.blogs.nytimes.com/2012/09/18/for-social-companies-a-battle-to-own-photography/

Nov, O., & Ye, C. (2010). Why do people tag?: motivations for photo tagging. Communications of the ACM, 53(7), 128-131.

Russell, S. J., & Norvig, P. (2016). Artificial intelligence: a modern approach. Malaysia; Pearson Education Limited,.

Richardson, A. (2010). Using customer journey maps to improve customer experience. Harvard Business Review, 15(1), 2-5.

Sandhaus, P., & Boll, S. (2011). Semantic analysis and retrieval in personal and social photo collections. Multimedia Tools and Applications, 51(1), 5-33.

Schreiber, A. T., Dubbeldam, B., Wielemaker, J., & Wielinga, B. (2001). Ontology-based photo annotation. IEEE Intelligent systems, 16(3), 66-74.

Shaw, R. A., Crane, J., Pearce, N., Burgess, C. D., Bremner, P., Woodman, K., & Beasley, R. (1992). Comparison of a video questionnaire* with the IUATLD written questionnaire for measuring asthma prevalence. Clinical & Experimental Allergy, 22(5), 561-568.

Stickdorn, M., & Schneider, J. (2010). This is Service Design Thinking: Basics. Tools, Cases.

Tan, M., & Teo, T. S. (2000). Factors influencing the adoption of Internet banking. Journal of the Association for information Systems, 1(1), 5.

Van der Heijden, H. (2004). User acceptance of hedonic information systems. MIS quarterly, 695-704.

Vargo, S. L., & Lusch, R. F. (2014). Evolving to a new dominant logic for marketing. In The Service-Dominant Logic of Marketing(pp. 21-46). Routledge.

Wold, H. (1989). Introduction to the second generation of multivariate analysis. Theoretical empiricism, 7.

Yen, H. R., Li, E. Y., & Cheng, C. J. (2014). Repurchase in online shopping: contingent effects of utilitarian value and hedonic value.