Publications-Theses
Article View/Open
Publication Export
-
題名 探討三個不同人稱觀點之聊天機器人對改善拖延的影響
Exploring the impact of chatbots with three POVs on reducing procrastination作者 鄒采倪
Tzou, Tsai-Ni貢獻者 鄭霈絨<br>廖峻鋒
Cheng, Pei-Jung<br>Liao, Chun-Feng
鄒采倪
Tzou, Tsai-Ni關鍵詞 人稱觀點
聊天機器人
拖延改善
時間動機理論
Person point of view
Chatbot
Procrastination reduction
Time motivation theory日期 2022 上傳時間 5-Oct-2022 09:26:22 (UTC+8) 摘要 學業拖延已被認定為一種普遍存在的問題,超過六成以上的大學生及研究生拖延,且超過半數已造成困擾。因此,本研究以具有方便性的聊天機器人為載體,探究不同人稱觀點的聊天機器人對拖延的改善是否有差異。本研究透過聊天機器人傳送「第一人稱」、「第二人稱」、「第三人稱」觀點的訊息,以進度追蹤、學習動機等工具了解大學生與研究生的拖延改善效果,並以問卷了解他們對不同人稱觀點的感受。本研究採組內設計形式,每位參與者將分別使用三個不同人稱的聊天機器人,最終參與者共有22名拖延者及4名非拖延者完整參與實驗。研究結果顯示:(1)參與者的進度走勢主要可以歸納為三種類型,其中,與第一人稱對話時的任務完成人數、完成度與主觀有用程度皆高於與第二人稱及第三人稱對話;(2)多數拖延參與者在三個人稱觀點聊天機器人中,會有與其中一個人稱對話的任務完成度優於與其他兩個人稱對話的現象;(3)參與者與三個人稱對話後,會在學習動機的不同的構面上較高分,顯示不同人稱觀點對話確實會在學習動機上有不同的效果;(4)參與者對三個不同人稱觀點聊天機器人的共同感受為理性客觀、自我對話、照顧關愛,與聊天機器人的關係為「監督」、「提醒」、「親友」;(5)參與者認為與第一人稱觀點聊天機器人對話有「放大自己」的特性,可以促進參與者反思,在進度的表現上有較好的影響;他們認為與第二人稱對話最為自然,最像與真人對話,但容易出現較直接、上對下關係的感受;而他們認為與第三人稱對話則較為新奇,但與自身最沒有關係。
Academic procrastination is a common problem, more than 60% of college and graduate students procrastinate, and more than half have caused trouble. This research used chatbots to send messages with "first-person," "second-person," and "third-person" viewpoints respectively and used research tools such as progress tracking and learning motivation questionnaire to understand the differences in procrastination reduction of the subjects. The study applied the within-subject design, all the participants should use chatbots with three point of views (POVs) respectively. Finally, total 22 procrastinators and 4 non-procrastinators were recruited to complete the experiment.The result shows that: (1) The daily progress trend of the participants can be mainly classified into three types. The number of task complete participant, and the degree of completion and subjective usefulness in the dialogue with the first-person are higher than second-person and third-person; (2) Most of the procrastinators have a phenomena, which is they had a better impact on the completion degree with one of the POVs chatbot than with the other two; (3) After the participants had conversations with three POVs chatbots, the study found that they would have higher scores on different aspect of learning motivation, indicating that conversations with a different POV chatbot does have a different effect on learning motivation; (4) The common feelings of the participants to the three POVs chatbots are "rational" and "objective", "self-talk", "caring", and the relationship with the chatbots is "supervision", "reminder", "friend " (5) The participants believed that dialogue with the first-person POV chatbot had the feature of "self-magnified", which can enhance the participants` reflection and have a better impact on the completion degree; they thought that dialogue with the second-person POV chatbot was the most natural, as well as the most similar to chat with a real person, but it is easy to have the feelings of direct and superior-subordinate relationship; while they thought that dialogue with the third-person POV was more novel, but had the least relationship to themselves.參考文獻 中文部分Steel, P. (2011)。不拖延的人生(姬健梅譯)。先覺。(原著出版於2010年)王奕亭(2021)。具體思考對改善拖延行為的成效探討。〔未出版碩士論文〕國立成功大學心理學系。江偉豪(2012)。探討大學生學習與作業拖延、自我調整及正向思考。〔未出版碩士論文〕國立中山大學教育研究所。何雅娟, 葉建宏, 王志美, & 葉貞妮(2020)。人格特質、過度自信預測學術拖延行為、尋求指導頻率與修業學期數之研究。教育科學研究期刊, 65(4), 139-170。林芃薇(2015)。閱讀不同觀點文本對國小學生同理心與霸凌感受影響之實驗研究。〔未出版碩士論文〕國立臺灣師範大學課程與教學研究所。金樹人 (2005)。 心理位移辯證效果之敘事分析。行政院國家科學委員會補助專題研究計畫莊秀敏, & 陳揚學(2016)。大學生自我概念與智慧型手機成癮之相關研究。教育傳播與科技研究(114), 43-60。劉佩雲(2006)。大學生自我調整學習理論之建構與教學效果之研究(E92018)【原始數據】。中央研究院人文社會科學研究中心調查研究專題中心學術調查研究資料庫。賴億華(2020)。閱聽人與金融聊天機器人對話之接收分析 -以銀行場域為例。〔未出版碩士論文〕國立政治大學傳播學院碩士在職專班。濮世禹(2019)。克服拖延症創新購物網站。〔未出版碩士論文〕國立臺北科技大學互動設計系。謝佩錡(2021)。以時間管理為主的線上自我調整訓練改善大學生拖延之成效探討。〔未出版碩士論文〕國立成功大學心理學系。英文部分Abbas, N., Pickard, T., Atwell, E., & Walker, A.. (2021). University Student Surveys Using Chatbots: Artificial Intelligence Conversational Agents. In Lecture Notes in Computer Science (pp. 155–169). Lecture Notes in Computer Science.Adamopoulou, E., & Moussiades, L.. (2020). An Overview of Chatbot Technology. In Information and Knowledge Management in Complex Systems (pp. 373–383). Information and Knowledge Management in Complex Systems.Al-Alami, S. (2019). Point of View in Narrative. Theory and Practice in Language Studies, 9(8), 911-916.Almalki, K., Alharbi, O., Al-Ahmadi, W., & Aljohani, M.. (2020). Anti-procrastination Online Tool for Graduate Students Based on the Pomodoro Technique. In Lecture Notes in Computer Science (pp. 133–144). Lecture Notes in Computer Science.Bellardi, M. (2018). The cinematic mode in fiction. Frontiers of Narrative Studies, 4(s1), s24-s47.Brandtzaeg, P. B., & Følstad, A.. (2017). Why People Use Chatbots. In Lecture Notes in Computer Science (pp. 377–392). Lecture Notes in Computer Science.Braddock, K., & Dillard, J. P.. (2016). Meta-analytic evidence for the persuasive effect of narratives on beliefs, attitudes, intentions, and behaviors. Communication Monographs, 83(4), 446–467.Charness, G., Gneezy, U., & Kuhn, M. A. (2012). Experimental methods: Between-subject and within-subject design. Journal of Economic Behavior & Organization, 81(1), 1-8.Chen, M., & Bell, R. A.. (2021). A meta-analysis of the impact of point of view on narrative processing and persuasion in health messaging. Psychology & Health, 1–18.Christy, K. R.. (2018). I, You, or He: Examining the Impact of Point of View on Narrative Persuasion. Media Psychology, 21(4), 700–718.Chun Chu, A. H., & Choi, J. N.. (2005). Rethinking Procrastination: Positive Effects of "Active" Procrastination Behavior on Attitudes and Performance. The Journal of Social Psychology, 145(3), 245–264.Claessens, B. J. C., Van Eerde, W., Rutte, C. G., & Roe, R. A.. (2010). Things to Do Today...: A Daily Diary Study on Task Completion at Work. Applied Psychology, 59(2), 273–295.Croes, E. A. J., & Antheunis, M. L.. (2021). Can we be friends with Mitsuku? A longitudinal study on the process of relationship formation between humans and a social chatbot. Journal of Social and Personal Relationships, 38(1), 279–300.Cruz, R. E., Leonhardt, J. M., & Pezzuti, T. (2017). Second Person Pronouns Enhance Consumer Involvement and Brand Attitude. Journal of Interactive Marketing, 39, 104-116.Darcy, A., Daniels, J., Salinger, D., Wicks, P., & Robinson, A.. (2021). Evidence of Human-Level Bonds Established With a Digital Conversational Agent: Cross-sectional, Retrospective Observational Study. JMIR Formative Research, 5(5), e27868.Dolcos, S., & Albarracin, D.. (2014). The inner speech of behavioral regulation: Intentions and task performance strengthen when you talk to yourself as a You. European Journal of Social Psychology, 44(6), 636–642.Ferguson, C. J. (2009). An effect size primer: A guide for clinicians and researchers. Professional Psychology: Research and Practice, 40(5), 532–538.Følstad, A., & Brandtzæg, P. B.. (2017). Chatbots and the new world of HCI. Interactions, 24(4), 38–42.Gagnon, J., Dionne, F., Raymond, G., & Grégoire, S. (2019). Pilot study of a Web-based acceptance and commitment therapy intervention for university students to reduce academic procrastination. Journal of American College Health, 67(4), 374-382.Harriott, J., & Ferrari, J. (1996). Prevalence of Procrastination among Samples of Adults. Psychological Reports, 78, 611-616.Hien, H. T., Cuong, P.-N., Nam, L. N. H., Nhung, H. L. T. K., & Thang, L. D.. (2018). Intelligent Assistants in Higher-Education Environments.Hill, J., Randolph Ford, W., & Farreras, I. G. (2015). Real conversations with artificial intelligence: A comparison between human–human online conversations and human–chatbot conversations. Computers in Human Behavior, 49, 245-250.Ho, A., Hancock, J., & Miner, A. S.. (2018). Psychological, Relational, and Emotional Effects of Self-Disclosure After Conversations With a Chatbot. Journal of Communication, 68(4), 712–733.Hussain, S., Ameri Sianaki, O., & Ababneh, N. (2019, March). A survey on conversational agents/chatbots classification and design techniques. In Workshops of the International Conference on Advanced Information Networking and Applications (pp. 946-956). Springer, Cham.Kim, H. K., & Lee, T. K. (2018). Curious or afraid of using study drugs? The effects of self-referent thoughts and identification on anticipated affect. International Journal of Communication, 12, 22.Meta. (2021). General Best Practices. Meta. Retrieved 2021/11/19 from https://developers.facebook.com/docs/messenger-platform/introduction/general-best-practicesNan, X., Futerfas, M., & Ma, Z.. (2017). Role of Narrative Perspective and Modality in the Persuasiveness of Public Service Advertisements Promoting HPV Vaccination. Health Communication, 32(3), 320–328.Nimavat, K., & Champaneria, T. (2017). Chatbots: An overview. Types, Architecture, Tools and Future Possibilities.Nißen, M., Selimi, D., Janssen, A., Cardona, D. R., Breitner, M. H., Kowatsch, T., & von Wangenheim, F. (2022). See you soon again, chatbot? A design taxonomy to characterize user-chatbot relationships with different time horizons. Computers in Human Behavior, 127, 107043.Packard, G., Moore, S. G., & Mcferran, B.. (2018). (I`m) Happy to Help (You): The Impact of Personal Pronoun Use in Customer–Firm Interactions. Journal of Marketing Research, 55(4), 541–555.Perrin, C. J., Miller, N., Haberlin, A. T., Ivy, J. W., Meindl, J. N., & Neef, N. A.. (2011). MEASURING AND REDUCING COLLEGE STUDENTS` PROCRASTINATION. Journal of Applied Behavior Analysis, 44(3), 463–474.Qu, J., Zhou, R., Zou, L., Sun, Y., & Zhao, M.. (2020). The Effect of Personal Pronouns on Users’ Emotional Experience in Voice Interaction. In Lecture Notes in Computer Science (pp. 234–243). Lecture Notes in Computer Science.Rahimi, S., & Hall, N. C.. (2021). Why Are You Waiting? Procrastination on Academic Tasks Among Undergraduate and Graduate Students. Innovative Higher Education, 46(6), 759–776.Roy, R., & Naidoo, V. (2021). Enhancing chatbot effectiveness: The role of anthropomorphic conversational styles and time orientation. Journal of Business Research, 126, 23-34.Scent, C. L., & Boes, S. R. (2014). Acceptance and Commitment Training: A Brief Intervention to Reduce Procrastination Among College Students. Journal of College Student Psychotherapy, 28(2), 144-156.Shen, F., Sheer, V. C., & Li, R.. (2015). Impact of Narratives on Persuasion in Health Communication: A Meta-Analysis. Journal of Advertising, 44(2), 105–113.Skjuve, M., Følstad, A., Fostervold, K. I., & Brandtzaeg, P. B. (2021). My Chatbot Companion - a Study of Human-Chatbot Relationships. International Journal of Human-Computer Studies, 149, 102601.Steel, P. (2007). The nature of procrastination: a meta-analytic and theoretical review of quintessential self-regulatory failure. Psychological bulletin, 133(1), 65–94.Steel, P. (2010). Arousal, avoidant and decisional procrastinators: Do they exist?. Personality and Individual Differences, 48(8), 926–934.Steel, P. & Klingsieck, K. B.. (2016). Academic Procrastination: Psychological Antecedents Revisited. Australian Psychologist, 51(1), 36–46.Steel, P., & König, C. (2006). Integrating Theories of Motivation. Academy of Management Review, 31, 889-913.Svartdal, F., Dahl, T. I., Gamst-Klaussen, T., Koppenborg, M., & Klingsieck, K. B. (2020). How study environments foster academic procrastination: Overview and recommendations. Frontiers in Psychology, 3005.Svartdal, F., & Steel, P. (2017). Irrational Delay Revisited: Examining Five Procrastination Scales in a Global Sample [Original Research]. Frontiers in Psychology, 8.Tu, K. C., Chen, S. S., & Mesler, R. M. (2021). “We” are in This Pandemic, but “You” can get Through This: The Effects of Pronouns on Likelihood to Stay-at-Home During COVID-19. Journal of Language and Social Psychology, 40(5-6), 574-588.Turing, A. M. (1950). I.—COMPUTING MACHINERY AND INTELLIGENCE. Mind, LIX(236), 433-460.Weizenbaum, J.. (1966). ELIZA—a computer program for the study of natural language communication between man and machine. Communications of the ACM, 9(1), 36–45.Wessel, J., Bradley, G. L., & Hood, M. (2019). Comparing effects of active and passive procrastination: A field study of behavioral delay. Personality and Individual Differences, 139, 152-157.Wessel, J., Bradley, G. L., & Hood, M.. (2021). A Low‐Intensity, High‐Frequency Intervention to Reduce Procrastination. Applied Psychology, 70(4), 1669–1690.Xu, Y., Zhang, J., Chi, R., & Deng, G.. (2022). Enhancing customer satisfaction with chatbots: the influence of anthropomorphic communication styles and anthropomorphised roles. Nankai Business Review International, ahead-of-print(ahead-of-print).Zhang, J., Oh, Y. J., Lange, P., Yu, Z., & Fukuoka, Y.. (2020). Artificial Intelligence Chatbot Behavior Change Model for Designing Artificial Intelligence Chatbots to Promote Physical Activity and a Healthy Diet: Viewpoint. Journal of Medical Internet Research, 22(9), e22845.Ziegler, N., & Opdenakker, M.-C.. (2018). The development of academic procrastination in first-year secondary education students: The link with metacognitive self-regulation, self-efficacy, and effort regulation. Learning and Individual Differences, 64, 71–82.Zumstein, D., & Hundertmark, S. (2017). Chatbots: an interactive technology for personalized communication and transaction, TRANSACTIONS AND SERVICES. IADIS International Journal on WWW/Internet, 15(1). 描述 碩士
國立政治大學
數位內容碩士學位學程
109462003資料來源 http://thesis.lib.nccu.edu.tw/record/#G0109462003 資料類型 thesis dc.contributor.advisor 鄭霈絨<br>廖峻鋒 zh_TW dc.contributor.advisor Cheng, Pei-Jung<br>Liao, Chun-Feng en_US dc.contributor.author (Authors) 鄒采倪 zh_TW dc.contributor.author (Authors) Tzou, Tsai-Ni en_US dc.creator (作者) 鄒采倪 zh_TW dc.creator (作者) Tzou, Tsai-Ni en_US dc.date (日期) 2022 en_US dc.date.accessioned 5-Oct-2022 09:26:22 (UTC+8) - dc.date.available 5-Oct-2022 09:26:22 (UTC+8) - dc.date.issued (上傳時間) 5-Oct-2022 09:26:22 (UTC+8) - dc.identifier (Other Identifiers) G0109462003 en_US dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/142170 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 數位內容碩士學位學程 zh_TW dc.description (描述) 109462003 zh_TW dc.description.abstract (摘要) 學業拖延已被認定為一種普遍存在的問題,超過六成以上的大學生及研究生拖延,且超過半數已造成困擾。因此,本研究以具有方便性的聊天機器人為載體,探究不同人稱觀點的聊天機器人對拖延的改善是否有差異。本研究透過聊天機器人傳送「第一人稱」、「第二人稱」、「第三人稱」觀點的訊息,以進度追蹤、學習動機等工具了解大學生與研究生的拖延改善效果,並以問卷了解他們對不同人稱觀點的感受。本研究採組內設計形式,每位參與者將分別使用三個不同人稱的聊天機器人,最終參與者共有22名拖延者及4名非拖延者完整參與實驗。研究結果顯示:(1)參與者的進度走勢主要可以歸納為三種類型,其中,與第一人稱對話時的任務完成人數、完成度與主觀有用程度皆高於與第二人稱及第三人稱對話;(2)多數拖延參與者在三個人稱觀點聊天機器人中,會有與其中一個人稱對話的任務完成度優於與其他兩個人稱對話的現象;(3)參與者與三個人稱對話後,會在學習動機的不同的構面上較高分,顯示不同人稱觀點對話確實會在學習動機上有不同的效果;(4)參與者對三個不同人稱觀點聊天機器人的共同感受為理性客觀、自我對話、照顧關愛,與聊天機器人的關係為「監督」、「提醒」、「親友」;(5)參與者認為與第一人稱觀點聊天機器人對話有「放大自己」的特性,可以促進參與者反思,在進度的表現上有較好的影響;他們認為與第二人稱對話最為自然,最像與真人對話,但容易出現較直接、上對下關係的感受;而他們認為與第三人稱對話則較為新奇,但與自身最沒有關係。 zh_TW dc.description.abstract (摘要) Academic procrastination is a common problem, more than 60% of college and graduate students procrastinate, and more than half have caused trouble. This research used chatbots to send messages with "first-person," "second-person," and "third-person" viewpoints respectively and used research tools such as progress tracking and learning motivation questionnaire to understand the differences in procrastination reduction of the subjects. The study applied the within-subject design, all the participants should use chatbots with three point of views (POVs) respectively. Finally, total 22 procrastinators and 4 non-procrastinators were recruited to complete the experiment.The result shows that: (1) The daily progress trend of the participants can be mainly classified into three types. The number of task complete participant, and the degree of completion and subjective usefulness in the dialogue with the first-person are higher than second-person and third-person; (2) Most of the procrastinators have a phenomena, which is they had a better impact on the completion degree with one of the POVs chatbot than with the other two; (3) After the participants had conversations with three POVs chatbots, the study found that they would have higher scores on different aspect of learning motivation, indicating that conversations with a different POV chatbot does have a different effect on learning motivation; (4) The common feelings of the participants to the three POVs chatbots are "rational" and "objective", "self-talk", "caring", and the relationship with the chatbots is "supervision", "reminder", "friend " (5) The participants believed that dialogue with the first-person POV chatbot had the feature of "self-magnified", which can enhance the participants` reflection and have a better impact on the completion degree; they thought that dialogue with the second-person POV chatbot was the most natural, as well as the most similar to chat with a real person, but it is easy to have the feelings of direct and superior-subordinate relationship; while they thought that dialogue with the third-person POV was more novel, but had the least relationship to themselves. en_US dc.description.tableofcontents 謝辭 I摘要 IIABSTRACT III目次 V表次 VIII圖次 X第一章 緒論 1第一節 研究背景與動機 1第二節 研究目的與問題 3第三節 研究流程與步驟 3第四節 研究範圍與限制 5第二章 文獻探討 6第一節 拖延 6第二節 聊天機器人之特性 12第三節 不同人稱觀點之影響 15第四節 小結 18第三章 研究設計 20第一節 研究變項 20第二節 正式實驗流程 27第三節 資料研究工具 29第四章 研究結果與分析 33第一節 實驗前測結果分析 33第二節 正式實驗參與者資料與研究工具分析 36第三節 拖延改善效果 37第四節 人稱觀點感受 55第五節 綜合討論 63第五章 研究結論與建議 67第一節 研究結論 67第二節 未來研究建議 68參考文獻 70附錄 80附錄一 非理性拖延量表 80附錄二 不同人稱聊天機器人訊息 81附錄三 學業動機量表 85附錄四 聊天機器人實驗後問卷 86附錄五 實驗招募規則及注意事項 89附錄六 參與者任務進度圖 91附錄七 人稱進度圖 100附錄八 主觀拖延改善效果得分及原因 102附錄九 改善拖延實驗結果 106附錄十 聊天機器人關係及原因 107附錄十一 聊天機器人繼續使用意願偏好及原因 111附錄十二 完整實驗過程截圖 112 zh_TW dc.format.extent 12080337 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0109462003 en_US dc.subject (關鍵詞) 人稱觀點 zh_TW dc.subject (關鍵詞) 聊天機器人 zh_TW dc.subject (關鍵詞) 拖延改善 zh_TW dc.subject (關鍵詞) 時間動機理論 zh_TW dc.subject (關鍵詞) Person point of view en_US dc.subject (關鍵詞) Chatbot en_US dc.subject (關鍵詞) Procrastination reduction en_US dc.subject (關鍵詞) Time motivation theory en_US dc.title (題名) 探討三個不同人稱觀點之聊天機器人對改善拖延的影響 zh_TW dc.title (題名) Exploring the impact of chatbots with three POVs on reducing procrastination en_US dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) 中文部分Steel, P. (2011)。不拖延的人生(姬健梅譯)。先覺。(原著出版於2010年)王奕亭(2021)。具體思考對改善拖延行為的成效探討。〔未出版碩士論文〕國立成功大學心理學系。江偉豪(2012)。探討大學生學習與作業拖延、自我調整及正向思考。〔未出版碩士論文〕國立中山大學教育研究所。何雅娟, 葉建宏, 王志美, & 葉貞妮(2020)。人格特質、過度自信預測學術拖延行為、尋求指導頻率與修業學期數之研究。教育科學研究期刊, 65(4), 139-170。林芃薇(2015)。閱讀不同觀點文本對國小學生同理心與霸凌感受影響之實驗研究。〔未出版碩士論文〕國立臺灣師範大學課程與教學研究所。金樹人 (2005)。 心理位移辯證效果之敘事分析。行政院國家科學委員會補助專題研究計畫莊秀敏, & 陳揚學(2016)。大學生自我概念與智慧型手機成癮之相關研究。教育傳播與科技研究(114), 43-60。劉佩雲(2006)。大學生自我調整學習理論之建構與教學效果之研究(E92018)【原始數據】。中央研究院人文社會科學研究中心調查研究專題中心學術調查研究資料庫。賴億華(2020)。閱聽人與金融聊天機器人對話之接收分析 -以銀行場域為例。〔未出版碩士論文〕國立政治大學傳播學院碩士在職專班。濮世禹(2019)。克服拖延症創新購物網站。〔未出版碩士論文〕國立臺北科技大學互動設計系。謝佩錡(2021)。以時間管理為主的線上自我調整訓練改善大學生拖延之成效探討。〔未出版碩士論文〕國立成功大學心理學系。英文部分Abbas, N., Pickard, T., Atwell, E., & Walker, A.. (2021). University Student Surveys Using Chatbots: Artificial Intelligence Conversational Agents. In Lecture Notes in Computer Science (pp. 155–169). Lecture Notes in Computer Science.Adamopoulou, E., & Moussiades, L.. (2020). An Overview of Chatbot Technology. In Information and Knowledge Management in Complex Systems (pp. 373–383). Information and Knowledge Management in Complex Systems.Al-Alami, S. (2019). Point of View in Narrative. Theory and Practice in Language Studies, 9(8), 911-916.Almalki, K., Alharbi, O., Al-Ahmadi, W., & Aljohani, M.. (2020). Anti-procrastination Online Tool for Graduate Students Based on the Pomodoro Technique. In Lecture Notes in Computer Science (pp. 133–144). Lecture Notes in Computer Science.Bellardi, M. (2018). The cinematic mode in fiction. Frontiers of Narrative Studies, 4(s1), s24-s47.Brandtzaeg, P. B., & Følstad, A.. (2017). Why People Use Chatbots. In Lecture Notes in Computer Science (pp. 377–392). Lecture Notes in Computer Science.Braddock, K., & Dillard, J. P.. (2016). Meta-analytic evidence for the persuasive effect of narratives on beliefs, attitudes, intentions, and behaviors. Communication Monographs, 83(4), 446–467.Charness, G., Gneezy, U., & Kuhn, M. A. (2012). Experimental methods: Between-subject and within-subject design. Journal of Economic Behavior & Organization, 81(1), 1-8.Chen, M., & Bell, R. A.. (2021). A meta-analysis of the impact of point of view on narrative processing and persuasion in health messaging. Psychology & Health, 1–18.Christy, K. R.. (2018). I, You, or He: Examining the Impact of Point of View on Narrative Persuasion. Media Psychology, 21(4), 700–718.Chun Chu, A. H., & Choi, J. N.. (2005). Rethinking Procrastination: Positive Effects of "Active" Procrastination Behavior on Attitudes and Performance. The Journal of Social Psychology, 145(3), 245–264.Claessens, B. J. C., Van Eerde, W., Rutte, C. G., & Roe, R. A.. (2010). Things to Do Today...: A Daily Diary Study on Task Completion at Work. Applied Psychology, 59(2), 273–295.Croes, E. A. J., & Antheunis, M. L.. (2021). Can we be friends with Mitsuku? A longitudinal study on the process of relationship formation between humans and a social chatbot. Journal of Social and Personal Relationships, 38(1), 279–300.Cruz, R. E., Leonhardt, J. M., & Pezzuti, T. (2017). Second Person Pronouns Enhance Consumer Involvement and Brand Attitude. Journal of Interactive Marketing, 39, 104-116.Darcy, A., Daniels, J., Salinger, D., Wicks, P., & Robinson, A.. (2021). Evidence of Human-Level Bonds Established With a Digital Conversational Agent: Cross-sectional, Retrospective Observational Study. JMIR Formative Research, 5(5), e27868.Dolcos, S., & Albarracin, D.. (2014). The inner speech of behavioral regulation: Intentions and task performance strengthen when you talk to yourself as a You. European Journal of Social Psychology, 44(6), 636–642.Ferguson, C. J. (2009). An effect size primer: A guide for clinicians and researchers. Professional Psychology: Research and Practice, 40(5), 532–538.Følstad, A., & Brandtzæg, P. B.. (2017). Chatbots and the new world of HCI. Interactions, 24(4), 38–42.Gagnon, J., Dionne, F., Raymond, G., & Grégoire, S. (2019). Pilot study of a Web-based acceptance and commitment therapy intervention for university students to reduce academic procrastination. Journal of American College Health, 67(4), 374-382.Harriott, J., & Ferrari, J. (1996). Prevalence of Procrastination among Samples of Adults. Psychological Reports, 78, 611-616.Hien, H. T., Cuong, P.-N., Nam, L. N. H., Nhung, H. L. T. K., & Thang, L. D.. (2018). Intelligent Assistants in Higher-Education Environments.Hill, J., Randolph Ford, W., & Farreras, I. G. (2015). Real conversations with artificial intelligence: A comparison between human–human online conversations and human–chatbot conversations. Computers in Human Behavior, 49, 245-250.Ho, A., Hancock, J., & Miner, A. S.. (2018). Psychological, Relational, and Emotional Effects of Self-Disclosure After Conversations With a Chatbot. Journal of Communication, 68(4), 712–733.Hussain, S., Ameri Sianaki, O., & Ababneh, N. (2019, March). A survey on conversational agents/chatbots classification and design techniques. In Workshops of the International Conference on Advanced Information Networking and Applications (pp. 946-956). Springer, Cham.Kim, H. K., & Lee, T. K. (2018). Curious or afraid of using study drugs? The effects of self-referent thoughts and identification on anticipated affect. International Journal of Communication, 12, 22.Meta. (2021). General Best Practices. Meta. Retrieved 2021/11/19 from https://developers.facebook.com/docs/messenger-platform/introduction/general-best-practicesNan, X., Futerfas, M., & Ma, Z.. (2017). Role of Narrative Perspective and Modality in the Persuasiveness of Public Service Advertisements Promoting HPV Vaccination. Health Communication, 32(3), 320–328.Nimavat, K., & Champaneria, T. (2017). Chatbots: An overview. Types, Architecture, Tools and Future Possibilities.Nißen, M., Selimi, D., Janssen, A., Cardona, D. R., Breitner, M. H., Kowatsch, T., & von Wangenheim, F. (2022). See you soon again, chatbot? A design taxonomy to characterize user-chatbot relationships with different time horizons. Computers in Human Behavior, 127, 107043.Packard, G., Moore, S. G., & Mcferran, B.. (2018). (I`m) Happy to Help (You): The Impact of Personal Pronoun Use in Customer–Firm Interactions. Journal of Marketing Research, 55(4), 541–555.Perrin, C. J., Miller, N., Haberlin, A. T., Ivy, J. W., Meindl, J. N., & Neef, N. A.. (2011). MEASURING AND REDUCING COLLEGE STUDENTS` PROCRASTINATION. Journal of Applied Behavior Analysis, 44(3), 463–474.Qu, J., Zhou, R., Zou, L., Sun, Y., & Zhao, M.. (2020). The Effect of Personal Pronouns on Users’ Emotional Experience in Voice Interaction. In Lecture Notes in Computer Science (pp. 234–243). Lecture Notes in Computer Science.Rahimi, S., & Hall, N. C.. (2021). Why Are You Waiting? Procrastination on Academic Tasks Among Undergraduate and Graduate Students. Innovative Higher Education, 46(6), 759–776.Roy, R., & Naidoo, V. (2021). Enhancing chatbot effectiveness: The role of anthropomorphic conversational styles and time orientation. Journal of Business Research, 126, 23-34.Scent, C. L., & Boes, S. R. (2014). Acceptance and Commitment Training: A Brief Intervention to Reduce Procrastination Among College Students. Journal of College Student Psychotherapy, 28(2), 144-156.Shen, F., Sheer, V. C., & Li, R.. (2015). Impact of Narratives on Persuasion in Health Communication: A Meta-Analysis. Journal of Advertising, 44(2), 105–113.Skjuve, M., Følstad, A., Fostervold, K. I., & Brandtzaeg, P. B. (2021). My Chatbot Companion - a Study of Human-Chatbot Relationships. International Journal of Human-Computer Studies, 149, 102601.Steel, P. (2007). The nature of procrastination: a meta-analytic and theoretical review of quintessential self-regulatory failure. Psychological bulletin, 133(1), 65–94.Steel, P. (2010). Arousal, avoidant and decisional procrastinators: Do they exist?. Personality and Individual Differences, 48(8), 926–934.Steel, P. & Klingsieck, K. B.. (2016). Academic Procrastination: Psychological Antecedents Revisited. Australian Psychologist, 51(1), 36–46.Steel, P., & König, C. (2006). Integrating Theories of Motivation. Academy of Management Review, 31, 889-913.Svartdal, F., Dahl, T. I., Gamst-Klaussen, T., Koppenborg, M., & Klingsieck, K. B. (2020). How study environments foster academic procrastination: Overview and recommendations. Frontiers in Psychology, 3005.Svartdal, F., & Steel, P. (2017). Irrational Delay Revisited: Examining Five Procrastination Scales in a Global Sample [Original Research]. Frontiers in Psychology, 8.Tu, K. C., Chen, S. S., & Mesler, R. M. (2021). “We” are in This Pandemic, but “You” can get Through This: The Effects of Pronouns on Likelihood to Stay-at-Home During COVID-19. Journal of Language and Social Psychology, 40(5-6), 574-588.Turing, A. M. (1950). I.—COMPUTING MACHINERY AND INTELLIGENCE. Mind, LIX(236), 433-460.Weizenbaum, J.. (1966). ELIZA—a computer program for the study of natural language communication between man and machine. Communications of the ACM, 9(1), 36–45.Wessel, J., Bradley, G. L., & Hood, M. (2019). Comparing effects of active and passive procrastination: A field study of behavioral delay. Personality and Individual Differences, 139, 152-157.Wessel, J., Bradley, G. L., & Hood, M.. (2021). A Low‐Intensity, High‐Frequency Intervention to Reduce Procrastination. Applied Psychology, 70(4), 1669–1690.Xu, Y., Zhang, J., Chi, R., & Deng, G.. (2022). Enhancing customer satisfaction with chatbots: the influence of anthropomorphic communication styles and anthropomorphised roles. Nankai Business Review International, ahead-of-print(ahead-of-print).Zhang, J., Oh, Y. J., Lange, P., Yu, Z., & Fukuoka, Y.. (2020). Artificial Intelligence Chatbot Behavior Change Model for Designing Artificial Intelligence Chatbots to Promote Physical Activity and a Healthy Diet: Viewpoint. Journal of Medical Internet Research, 22(9), e22845.Ziegler, N., & Opdenakker, M.-C.. (2018). The development of academic procrastination in first-year secondary education students: The link with metacognitive self-regulation, self-efficacy, and effort regulation. Learning and Individual Differences, 64, 71–82.Zumstein, D., & Hundertmark, S. (2017). Chatbots: an interactive technology for personalized communication and transaction, TRANSACTIONS AND SERVICES. IADIS International Journal on WWW/Internet, 15(1). zh_TW dc.identifier.doi (DOI) 10.6814/NCCU202201559 en_US