博碩士論文 110421013 詳細資訊




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姓名 朱昱(Yu Chu)  查詢紙本館藏   畢業系所 企業管理學系
論文名稱 「直播」跟你想的不一樣? VTuber X 真人:以媒體享樂感三方模型解鎖直播世界的「享樂感」秘技
(Is "Live Streaming" Not What You Expected? VTuber vs. Real-Person: Unlocking The "Enjoyment" Secrets of The Live Streaming World with The Media Enjoyment Tripartite Model.)
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摘要(中) 近年來,網路直播的發展越來越迅速,直播內容也越趨多元。而在這種媒體變革的背景下, VTuber在平台上將自己轉化為虛擬形象,與觀眾進行即時互動和表演,逐漸吸引了大量觀眾,已然成為一個引人矚目的社交媒體趨勢。然而,目前針對觀眾對 VTuber 與真人直播的態度卻少有研究。故本研究採用媒體享樂感三方模型,將享樂感視為一種觀眾對直播主及直播內容的態度,探討觀眾觀看直播時或直播後的一系列情感、認知和行為反應與享樂感之間的關係,並進一步檢視享樂感是否引起觀眾的觀看意圖。本研究另外發展研究一:探討了VTuber自我揭露是否對觀眾的享樂感產生影響及研究二:比較觀眾觀看VTuber和真人直播時的感知和體驗的差異。本研究採用實驗法,透過設計一個全新的VTuber進行直播實驗,並同步進行真人直播,以問卷方式收集資料同時在問卷中進行VTuber自我揭露,以達成本研究之研究目的。共回收703份有效問卷,利用統計軟體進行本研究之假設驗證。研究結果顯示:(1)VTuber和真人直播觀眾的正向情感、感知的外貌吸引力與自我一致性、與直播主的擬社會互動對於享樂感有正向影響(2)VTuber的自我揭露對於負向情感和外貌吸引力與享樂感間的關係具有調節效果(3)VTuber與真人直播觀眾的正負向情感、外貌吸引力、感知真實性、擬社會互動、享樂感與觀看意圖存在顯著差異。本研究之研究貢獻如下:(1)基於媒體享樂感三方模型理解VTuber觀眾享樂體驗的過程,填補了該領域的知識空白(2)將自我揭露作為調節變數,自我揭露對VTuber觀眾享樂感的影響及理論拓展(3)將VTuber與真人直播進行比較,理解觀眾對不同直播形式的觀看體驗(4)創造全新的VTuber進行直播實驗,發展VTuber研究的新方法。
摘要(英) In recent years, the development of online live streaming has been rapidly growing, and the content of live broadcasts has become increasingly diverse. Against this backdrop of media transformation, VTubers, who transform themselves into virtual avatars and engage in real-time interaction and performance with their audiences on platforms, have gradually become a prominent trend in social media.
However, there is currently limited research on the attitudes of audiences towards VTubers compared to real-life live streamers. Therefore, this study employs the Tripartite Model of Media Enjoyment to examine enjoyment as an attitude of audiences towards both live streamers and live content. It explores the relationships between the affective, cognition, and behavioral reactions of audiences during or after live streaming and their enjoyment, as well as whether enjoyment influences their viewing intentions. Additionally, this study further extends its research in two additional aspects: First, it examines whether VTuber self-disclosure affects audience enjoyment (Research One). Second, it compares the differences in audience perception and experience when watching VTubers versus real-life streamers (Research Two).
A experimental approach is employed, designing a novel VTuber for a live streaming experiment, simultaneously conducting a real-life live stream, and collecting data through questionnaires, including VTuber self-disclosure. A total of 703 valid questionnaires were collected, and statistical analysis was performed to test the research hypotheses.
The findings reveal that:(1)Positive emotions, perceived physical attractiveness, self-consistency, and parasocial interaction with both VTubers and real-life live streamers have a positive impact on enjoyment.(2)VTuber self-disclosure has a moderating effect on the relationship between negative emotions, perceived physical attractiveness, and enjoyment.(3)Significant differences exist in positive and negative emotions, perceived physical attractiveness, perceived authenticity, parasocial interaction, enjoyment, and viewing intentions between VTuber and real-life live stream audiences.
This study contributes to the field in the following ways:(1)It advances our understanding of the process of VTuber audience enjoyment based on the Tripartite Model of Media Enjoyment, filling a knowledge gap in this area.(2)It extends the theoretical understanding of how self-disclosure functions as a moderating variable in affecting VTuber audience enjoyment.(3)It provides insights into audience experiences with different live streaming formats by comparing VTubers and real-life live streamers.(4)It introduces a new method for VTuber research by creating a novel VTuber for a live streaming experiment.
關鍵字(中) ★ VTuber
★ 直播
★ 正負向情感
★ 外貌吸引力
★ 感知真實性
★ 自我一致性
★ 擬社會互動
★ 享樂感
★ 觀看意圖
★ 自我揭露
關鍵字(英) ★ VTuber
★ Live streaming
★ Positive and negative affect
★ Perceived physical attractiveness
★ Perceived realism
★ Self-congruity
★ Parasocial interaction
★ Enjoyment
★ Viewing intentions
★ Self-disclosure
論文目次 目錄
摘要.................................................................................................................................i
Abstract..........................................................................................................................ii
致謝辭...........................................................................................................................iv
目錄................................................................................................................................v
圖目錄........................................................................................................................ viii
表目錄...........................................................................................................................ix
一、緒論........................................................................................................................1
1-1 研究背景 ........................................................................................................1
1-2 研究目的 ........................................................................................................3
1-3 預期貢獻 ........................................................................................................8
二、文獻探討..............................................................................................................12
2-1 理性行為理論 ..............................................................................................12
2-2 媒體享樂感三方模型 ..................................................................................13
2-3 享樂感 ..........................................................................................................15
2-3-1 享樂感-情感反應..............................................................................16
2-3-2 享樂感-認知反應..............................................................................18
2-3-3 享樂感-行為反應..............................................................................23
2-4 觀看意圖 ......................................................................................................26
2-5 自我揭露的調節作用 ..................................................................................27
2-6 VTuber & 真人直播之差異.........................................................................33
三、 研究方法............................................................................................................38
3-1 VTuber 直播主挑選.....................................................................................38
3-2 VTuber 之人設撰寫.....................................................................................39
3-3 VTuber 之造型設計.....................................................................................40
3-4 VTuber 直播過程與軟體及設備要求..........................................................42
3-5 研究對象與抽樣方式 ..................................................................................44
3-6 實驗設計 ......................................................................................................47
3-6-1 問卷設計...........................................................................................54
3-7 變數衡量方式 ..............................................................................................54
3-7-1 情感反應-正向與負向情感..............................................................55
3-7-2 認知反應-外貌吸引力......................................................................56
3-7-3 認知反應-自我一致性......................................................................57
3-7-4 認知反應-感知真實性......................................................................58
vi
3-7-5 行為反應-擬社會互動......................................................................59
3-7-6 享樂感...............................................................................................60
3-7-7 觀看意圖...........................................................................................61
3-7-8 自我揭露...........................................................................................62
3-7-9 控制變數...........................................................................................63
3-8 資料分析法 ..................................................................................................64
3-8-1 信度分析...........................................................................................64
3-8-2 效度分析...........................................................................................64
3-8-3 相關分析...........................................................................................65
3-8-4 實驗設計之內、外在效度...............................................................65
3-8-5 敘述性統計分析...............................................................................66
3-8-6 結構方程模型...................................................................................66
3-8-7 多變量變異數分析...........................................................................67
3-8-8 多群組比較.......................................................................................67
3-8-9 路徑分析...........................................................................................67
四、資料分析與研究結果..........................................................................................69
4-1 敘述性統計分析 ..........................................................................................69
4-2 變數之敘述性統計分析 ..............................................................................71
4-3 相關分析 ......................................................................................................71
4-4 信度分析 ......................................................................................................73
4-5 建構效度分析 ..............................................................................................73
4-5-1 收斂效度...........................................................................................73
4-5-2 區別效度...........................................................................................76
4-6 結構方程模型分析 ......................................................................................80
4-6-1 結構模式擬合度...............................................................................80
4-6-2 路徑係數分析...................................................................................82
4-7 研究一-自我揭露之調節效果評估.............................................................87
4-7-1 多群組比較.......................................................................................88
4-7-2 多變量變異數分析...........................................................................88
4-7-3 自我揭露調節與中介效果分析.......................................................90
4-8 研究二-VTuber 直播和真人直播之差異....................................................92
4-8-1 多變量變異數分析...........................................................................93
4-8-2 多群組比較.......................................................................................99
五、結論與建議........................................................................................................101
5-1 研究結果 ....................................................................................................102
5-1-1 正向情感與享樂感.........................................................................102
5-1-2 負向情感與享樂感.........................................................................103
5-1-3 外貌吸引力與享樂感.....................................................................104
vii
5-1-4 自我一致性與享樂感.....................................................................104
5-1-5 感知真實性與享樂感.....................................................................105
5-1-6 擬社會互動與享樂感.....................................................................106
5-1-7 享樂感與觀看意圖.........................................................................107
5-1-8 研究一-自我揭露的調節效果........................................................107
5-1-9 研究二-VTuber & 真人直播之差異.............................................113
5-2 研究貢獻 ....................................................................................................118
5-2-1 深入理解 VTuber 觀眾享樂體驗的過程.......................................118
5-2-2 自我揭露對 VTuber 觀眾享樂感的影響及理論拓展...................119
5-2-3 理解觀眾對不同直播形式的觀看體驗.........................................120
5-2-4 VTuber 研究的新方法.....................................................................121
5-3 實務意涵 ....................................................................................................121
5-4 研究限制與後續研究建議 ........................................................................123
參考文獻....................................................................................................................126
一、英文文獻....................................................................................................126
二、中文文獻....................................................................................................137
三、日文文獻....................................................................................................137
四、網路資料....................................................................................................138
附錄、........................................................................................................................140
附錄一 直播歌曲歌詞......................................................................................140
附錄二 研究問卷..............................................................................................142
參考文獻 一、英文文獻
Agarwal, R., & Karahanna, E. (2000). Time flies when you′re having fun: Cognitive absorption and beliefs about information technology usage. MIS quarterly, 24(4), 665-694.
Ajzen, I. (1980). Understanding attitudes and predictiing social behavior. Englewood cliffs.
Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In Action control: From cognition to behavior (pp. 11-39). Berlin, Heidelberg: Springer Berlin Heidelberg.
Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.
Almawati, D. E. (2021). Self Disclosure Pada Pertemanan Dunia Maya Melalui Media Sosial Twitter (Doctoral dissertation, Universitas Islam Riau).
Altman, I., & Taylor, D. A. (1973). Social penetration: The development of interpersonal relationships. Holt, Rinehart & Winston.
Ang, T., Wei, S., & Anaza, N. A. (2018). Livestreaming vs pre-recorded: How social viewing strategies impact consumers’ viewing experiences and behavioral intentions. European Journal of Marketing, 52(9/10), 2075-2104.
Baruh, L., & Cemalcılar, Z. (2018). When more is more? The impact of breadth and depth of information disclosure on attributional confidence about and interpersonal attraction to a social network site profile owner. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 12(1), article 1.
Baumeister, R. F., & Leary, M. R. (2017). The need to belong: Desire for interpersonal attachments as a fundamental human motivation. Interpersonal development, 117(3), 57-89.
Berscheid, E., & Hatfield, E. (1969). Interpersonal attraction (Vol. 69, pp. 113-114). Reading, MA: Addison-Wesley.
Bilandzic, H., & Busselle, R. W. (2011). Enjoyment of films as a function of narrative experience, perceived realism and transportability. Communications, 36 (2011), 29-50.
Black, D. (2012). The virtual idol: Producing and consuming digital femininity. Idols and celebrity in Japanese media culture, 209-228.
Blumler, J. G., & Katz, E. (1974). The Uses of Mass Communications: Current Perspectives on Gratifications Research. Sage Annual Reviews of Communication Research Volume III.
Boonchutima, S., & Surakanon, A. (2023). The Impact of VTubers and Streamers on the Purchase Intention of Otaku and Non-Otaku Respondents: A Comparative Study. Basic and Applied Social Psychology, 45(2-3), 63-79.
Brodie, Z. P., & Ingram, J. (2021). The dark triad of personality and hero/villain status as predictors of parasocial relationships with comic book characters. Psychology of popular media, 10(2), 230.
Bryant, J., Comisky, P., & Zillmann, D. (1981). The appeal of rough‐and‐tumble play in televised professional football. Communication Quarterly, 29(4), 256-262.
Busselle, R., & Bilandzic, H. (2008). Fictionality and perceived realism in experiencing stories: A model of narrative comprehension and engagement. Communication theory, 18(2), 255-280.
Busselle, R. W., & Greenberg, B. S. (2000). The nature of television realism judgments: A reevaluation of their conceptualization and measurement. Mass Communication & Society, 3(2-3), 249-268.
Caroux, L., Isbister, K., Le Bigot, L., & Vibert, N. (2015). Player–video game interaction: A systematic review of current concepts. Computers in Human Behavior, 48, 366-381.
Chapple, C., & Cownie, F. (2017). An investigation into viewers’ trust in and response towards disclosed paid-for endorsements by YouTube lifestyle Vloggers. Journal of Promotional Communications, 5(2), 19-28.
Cho, H., Shen, L., & Wilson, K. (2014). Perceived realism: Dimensions and roles in narrative persuasion. Communication Research, 41(6), 828-851.
Chung, S., & Cho, H. (2017). Fostering parasocial relationships with celebrities on social media: Implications for celebrity endorsement. Psychology & Marketing, 34(4), 481-495.
Collins, N. L., & Miller, L. C. (1994). Self-disclosure and liking: a meta-analytic review. Psychological Bulletin, 116(3), 457-475.
Copeland, L. R., & Zhao, L. (2020). Instagram and theory of reasoned action: US consumers influence of peers online and purchase intention. International Journal of Fashion Design, Technology and Education, 13(3), 265-279.
Coulson, M., Barnett, J., Ferguson, C. J., & Gould, R. L. (2012). Real feelings for virtual people: Emotional attachments and interpersonal attraction in video games. Psychology of Popular Media Culture, 1(3), 176.
Cozby, P. C. (1972). Self-disclosure, reciprocity and liking. Sociometry, 151-160.
Daneels, R., Malliet, S., Koeman, J., & Ribbens, W. (2018). The enjoyment of shooting games: Exploring the role of perceived realism. Computers in Human Behavior, 86, 330-336.
De Wit, J., Van der Kraan, A., & Theeuwes, J. (2020). Live streams on twitch help viewers cope with difficult periods in life. Frontiers in Psychology, 11, 586975.
Dickinger, A., Arami, M., & Meyer, D. (2008). The role of perceived enjoyment and social norm in the adoption of technology with network externalities. European Journal of Information Systems, 17(1), 4-11.
Diwanji, V., Reed, A., Ferchaud, A., Seibert, J., Weinbrecht, V., & Sellers, N. (2020). Don′t just watch, join in: Exploring information behavior and copresence on Twitch. Computers in Human Behavior, 105, 106221.
Doll, W. J., Xia, W., & Torkzadeh, G. (1994). A confirmatory factor analysis of the end-user computing satisfaction instrument. MIS Quarterly, 18(4), 453-461.
Eagly, A. H., & Chaiken, S. (1993). The psychology of attitudes. Harcourt brace Jovanovich College Publishers.
Feng, X., Chan, S., Brzezinski, J., & Nair, C. (2008). Measuring enjoyment of computer game play. Proceedings of the Fourteenth Americas Conference on Information Systems, 1-10.
Ferchaud, A., Grzeslo, J., Orme, S., & LaGroue, J. (2018). Parasocial attributes and YouTube personalities: Exploring content trends across the most subscribed YouTube channels. Computers in Human Behavior, 80, 88-96.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research, MA: Addison-Wesley ,1-52.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
Gerbner, G., Gross, L., Morgan, M., & Signorielli, N. (1986). Living with television: The dynamics of the cultivation process. Perspectives on Media Effects, 1986, 17-40.
Guo, J., & Fussell, S. R. (2020). A preliminary study of emotional contagion in live streaming. Conference Companion Publication of the 2020 on Computer Supported Cooperative Work and Social Computing, 263-268.
Hadjistavropoulos, T., & Genest, M. (1994). The underestimation of the role of physical attractiveness in dating preferences: Ignorance or taboo? Canadian Journal of Behavioural Science/Revue canadienne des sciences du comportement, 26(2), 298.
Haimson, O. L., & Tang, J. C. (2017). What makes live events engaging on Facebook Live, Periscope, and Snapchat. Proceedings of the 2017 CHI conference on human factors in computing systems, 48-60.
Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis. englewood cliff. New jersey, USA, 5(3), 207-2019.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis 6th Edition, Upper Saddle River, NJ: Pearson Prentice Hall.
Hamilton, W. A., Garretson, O., & Kerne, A. (2014). Streaming on twitch: fostering participatory communities of play within live mixed media. Proceedings of the SIGCHI conference on human factors in computing systems, 1315-1324.
Hansen, T., Jensen, J. M., & Solgaard, H. S. (2004). Predicting online grocery buying intention: a comparison of the theory of reasoned action and the theory of planned behavior. International Journal of Information Management, 24(6), 539-550.
Hartmann, T., & Goldhoorn, C. (2011). Horton and Wohl revisited: Exploring viewers′ experience of parasocial interaction. Journal of Communication, 61(6), 1104-1121.
Hartmann, T., & Vorderer, P. (2010). It′s okay to shoot a character: Moral disengagement in violent video games. Journal of Communication, 60(1), 94-119.
Hatfield, E., & Sprecher, S. (1986). Measuring passionate love in intimate relationships. Journal of Adolescence, 9(4), 383-410.
Hemschemeyer, N. A. (2020). Beyond the Game: An Exploratory Study of Virtual Communication, Self-Disclosure, and Social Support on Live Streaming Platforms The University of Wisconsin-Milwaukee.
Henseler, J., & Chin, W. W. (2010). A comparison of approaches for the analysis of interaction effects between latent variables using partial least squares path modeling. Structural equation modeling, 17(1), 82-109.
Hilvert-Bruce, Z., Neill, J. T., Sjöblom, M., & Hamari, J. (2018). Social motivations of live-streaming viewer engagement on Twitch. Computers in Human Behavior, 84, 58-67.
Horton, D., & Richard Wohl, R. (1956). Mass communication and para-social interaction: Observations on intimacy at a distance. Psychiatry, 19(3), 215-229.
Hosek, A. M., & Presley, R. (2018). College student perceptions of the (in) appropriateness and functions of teacher disclosure. College Teaching, 66(2), 63-72.
Hosoda, M., Stone‐Romero, E. F., & Coats, G. (2003). The effects of physical attractiveness on job‐related outcomes: A meta‐analysis of experimental studies. Personnel Psychology, 56(2), 431-462.
Hu, L. t., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural equation modeling: A multidisciplinary journal, 6(1), 1-55.
Hu, M., Zhang, M., & Wang, Y. (2017). Why do audiences choose to keep watching on live video streaming platforms? An explanation of dual identification framework. Computers in Human Behavior, 75, 594-606.
Huang, J., & Jung, Y. (2022). Perceived authenticity of virtual characters makes the difference. Frontiers in Virtual Reality, 3, 1033709.
Huang, Q.-Q., Qu, H.-J., & Li, P. (2022). The Influence of Virtual Idol Characteristics on Consumers’ Clothing Purchase Intention. Sustainability, 14(14), 8964.
Jiang, L., John, L. K., Boghrati, R., & Kouchaki, M. (2022). Fostering perceptions of authenticity via sensitive self-disclosure. Journal of Experimental Psychology: Applied, 28(4), 898.
Johnson, B. K., Bradshaw, A. S., Davis, J., Diegue, V., Frost, L., Hinds, J., Lin, T., Mizell, C., Quintana, D., & Wang, R. (2021). Credible influencers: Sponsored YouTube personalities and effects of warranting cues. Journal of Media Psychology: Theories, Methods, and Applications, 34(4), 236–248.
Jourard, S. M. (1971). The transparent self. (No Title).
Karandashev, V., & Fata, B. (2014). Change in physical attraction in early romantic relationships. Interpersona: An International Journal on Personal Relationships, 8(2), 257-267.
Katz, E., Haas, H., & Gurevitch, M. (1973). On the use of the mass media for important things. American sociological review, 38(2), 164-181.
Kaytoue, M., Silva, A., Cerf, L., Meira Jr, W., & Raïssi, C. (2012). Watch me playing, i am a professional: a first study on video game live streaming. Proceedings of the 21st international conference on world wide web, 1181-1188.
Keselman, H. J., Huberty, C. J., Lix, L. M., Olejnik, S., Cribbie, R. A., Donahue, B., Kowalchuk, R. K., Lowman, L. L., Petoskey, M. D., & Keselman, J. C. (1998). Statistical practices of educational researchers: An analysis of their ANOVA, MANOVA, and ANCOVA analyses. Review of Educational Research, 68(3), 350-386.
King, O. (2015). The effect of self-disclosure in celebrity tweets on message processing, parasocial relationships, attitudes, and behavioral intentions, University of Missouri-Columbia.
Kinnally, W., & Bolduc, H. (2020). Integrating the theory of planned behavior and uses and gratifications to understand music streaming intentions and behavior. Atlantic Journal of Communication, 28(3), 165-179.
Knobloch-Westerwick, S., David, P., Eastin, M. S., Tamborini, R., & Greenwood, D. (2009). Sports spectators′ suspense: Affect and uncertainty in sports entertainment. Journal of Communication, 59(4), 750-767.
Koo, W. (2023). Ways to Implement Effective Product Placement on YouTube. International Journal of E-Business Research (IJEBR), 19(1), 1-15.
Kressmann, F., Sirgy, M. J., Herrmann, A., Huber, F., Huber, S., & Lee, D.-J. (2006). Direct and indirect effects of self-image congruence on brand loyalty. Journal of Business Research, 59(9), 955-964.
Kurtin, K. S., O′Brien, N., Roy, D., & Dam, L. (2018). The development of parasocial interaction relationships on YouTube. The Journal of Social Media in Society, 7(1), 233-252.
Kwak, K. T., Choi, S. K., & Lee, B. G. (2014). SNS flow, SNS self-disclosure and post hoc interpersonal relations change: Focused on Korean Facebook user. Computers in Human Behavior, 31, 294-304.
Lafferty, B. A., Goldsmith, R. E., & Newell, S. J. (2002). The dual credibility model: The influence of corporate and endorser credibility on attitudes and purchase intentions. Journal of Marketing Theory and Practice, 10(3), 1-11.
Leary, M. R., & Baumeister, R. (1995). The need to belong. Psychological Bulletin, 117(3), 497-529.
Lee, J., Ham, C.-D., & Kim, M. (2013). Why people pass along online video advertising: From the perspectives of the interpersonal communication motives scale and the theory of reasoned action. Journal of Interactive Advertising, 13(1), 1-13.
Lee, S. S., & Johnson, B. K. (2022). Are they being authentic? The effects of self-disclosure and message sidedness on sponsored post effectiveness. International Journal of Advertising, 41(1), 30-53.
Lee, Y.-P., Tsai, H.-y., & Wu, J.-S. (2020). Exploring the impact of user personality and self-disclosure on the continuous use of social media. Journal of Economics and Business, 3(4), 1324-1343.
Leite, F. P., & Baptista, P. d. P. (2022). The effects of social media influencers’ self-disclosure on behavioral intentions: The role of source credibility, parasocial relationships, and brand trust. Journal of Marketing Theory and Practice, 30(3), 295-311.
Leite, F. P., Pontes, N., & de Paula Baptista, P. (2022). Oops, I′ve overshared! When social media influencers′ self-disclosure damage perceptions of source credibility. Computers in Human Behavior, 133, 107274.
Lenz, K. (2022). The presentation of self in everyday life. In Goffman-Handbuch: Leben–Werk–Wirkung (pp. 267-274). Springer.
Lestari, I., Nasib, S. C., Azzahra, A. S., & Effendi, I. (2019). Trust identification and smartphone purchase decisions (Structural equation modeling approach). International Journal of Civil Engineering and Technology (IJCIET), 10(2), 1020-1032.
Lin, A., Gregor, S., & Ewing, M. (2008). Developing a scale to measure the enjoyment of web experiences. Journal of Interactive Marketing, 22(4), 40-57.
Lou, C., Kiew, S. T. J., Chen, T., Lee, T. Y. M., Ong, J. E. C., & Phua, Z. (2023). Authentically fake? How consumers respond to the influence of virtual influencers. Journal of Advertising, 52(4), 540-557.
Lu, Z., Shen, C., Li, J., Shen, H., & Wigdor, D. (2021). More kawaii than a real-person live streamer: understanding how the otaku community engages with and perceives virtual YouTubers. Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, 1-14.
Lu, Z., Xia, H., Heo, S., & Wigdor, D. (2018). You watch, you give, and you engage: a study of live streaming practices in China. Proceedings of the 2018 CHI conference on human factors in computing systems, 1-13.
Luo, M. (2021). What Makes Live Streaming Enjoyable? Understanding the Impacts of Live Streaming Affordances on Hedonic Media Experiences. Stanford University.
Luo, M., Hsu, T. W., Park, J. S., & Hancock, J. T. (2020). Emotional amplification during live-streaming: Evidence from comments during and after news events. Proceedings of the ACM on human-computer interaction, 4(CSCW1), 1-19.
MacCallum, R. C., & Hong, S. (1997). Power analysis in covariance structure modeling using GFI and AGFI. Multivariate Behavioral Research, 32(2), 193-210.
Marwick, A., & Boyd, D. (2011). To see and be seen: Celebrity practice on Twitter. Convergence, 17(2), 139-158.
McCroskey, J. C., & McCain, T. A. (1974). The measurement of interpersonal attraction.
McLaughlin, C., & Wohn, D. Y. (2021). Predictors of parasocial interaction and relationships in live streaming. Convergence, 27(6), 1714-1734.
Meisner, C., & Ledbetter, A. M. (2022). Participatory branding on social media: The affordances of live streaming for creative labor. New Media & Society, 24(5), 1179-1195.
Mekler, E. D., Bopp, J. A., Tuch, A. N., & Opwis, K. (2014). A systematic review of quantitative studies on the enjoyment of digital entertainment games. Proceedings of the SIGCHI conference on human factors in computing systems, 927-936.
Morrow, P. C. (1990). Physical attractiveness and selection decision making. Journal of Management, 16(1), 45-60.
Morton, T. L. (1978). Intimacy and reciprocity of exchange: A comparison of spouses and strangers. Journal of Personality and Social Psychology, 36(1), 72-81.
Nabi, R. L., & Krcmar, M. (2004). Conceptualizing media enjoyment as attitude: Implications for mass media effects research. Communication Theory, 14(4), 288-310.
Nabi, R. L., Stitt, C. R., Halford, J., & Finnerty, K. L. (2006). Emotional and cognitive predictors of the enjoyment of reality-based and fictional television programming: An elaboration of the uses and gratifications perspective. Media Psychology, 8(4), 421-447.
Nunnally, J. C. (1967). Assessment of reliability. Psychometric Theory, 206-235.
Ohanian, R. (1990). Construction and validation of a scale to measure celebrity endorsers′ perceived expertise, trustworthiness, and attractiveness. Journal of Advertising, 19(3), 39-52.
Oliver, M. B. (1993). Exploring the paradox of the enjoyment of sad films. Human Communication Research, 19(3), 315-342.
Palmgreen, P. (1984). Uses and gratifications: A theoretical perspective. Annals of the International Communication Association, 8(1), 20-55.
Pearce, W. B., & Sharp, S. M. (1973). Self-disclosing communication. Journal of Communication, 23(4), 409-425.
Pentina, I., Zhang, L., & Basmanova, O. (2013). Antecedents and consequences of trust in a social media brand: A cross-cultural study of Twitter. Computers in Human Behavior, 29(4), 1546-1555.
Perse, E. M., & Rubin, R. B. (1989). Attribution in social and parasocial relationships. Communication Research, 16(1), 59-77.
Peterson, E. M., & Raney, A. A. (2008). Reconceptualizing and reexamining suspense as a predictor of mediated sports enjoyment. Journal of Broadcasting & Electronic Media, 52(4), 544-562.
Pires, K., & Simon, G. (2015). YouTube live and Twitch: a tour of user-generated live streaming systems. Proceedings of the 6th ACM multimedia systems conference, 225-230.
Pratt, M. A., & Sparks, B. (2014). Predicting wine tourism intention: Destination image and self-congruity. Journal of Travel & Tourism Marketing, 31(4), 443-460.
Praveena, K., & Thomas, S. (2014). Continuance intention to use Facebook: A study of perceived enjoyment and TAM. Bonfring International Journal of Industrial Engineering and Management Science, 4(1), 24-29.
Ramadhan, F., Hurriyati, R., & Hendrayati, H. (2021). The Effect of Content Quality and Perceived Enjoyment on Subscribe Intention in YouTube Channel. 5th Global Conference on Business, Management and Entrepreneurship, 302-305.
Ramasubramanian, S., & Kornfield, S. (2012). Japanese anime heroines as role models for US youth: Wishful identification, parasocial interaction, and intercultural entertainment effects. Journal of International and Intercultural Communication, 5(3), 189-207.
Raney, A. A. (2002). Moral judgment as a predictor of enjoyment of crime drama. Media Psychology, 4(4), 305-322.
Raney, A. A. (2003). Disposition-based theories of enjoyment. In Communication and emotion (pp. 61-84). Routledge.
Raney, A. A., & Bryant, J. (2002). Moral judgment and crime drama: An integrated theory of enjoyment. Journal of Communication, 52(2), 402-415.
Ribbens, W., Malliet, S., Van Eck, R., & Larkin, D. (2016). Perceived realism in shooting games: Towards scale validation. Computers in Human Behavior, 64, 308-318.
Rosaen, S. F., & Dibble, J. L. (2017). The impact of viewer perceptions of media personae and viewer characteristics on the strength, enjoyment, and satisfaction of parasocial relationships. Communication Studies, 68(1), 1-21.
Rubin, A. M. (1981). An examination of television viewing motivations. Communication Research, 8(2), 141-165.
Rubin, A. M., Perse, E. M., & Powell, R. A. (1985). Loneliness, parasocial interaction, and local television news viewing. Human Communication Research, 12(2), 155-180.
Ryan, R. M. (1982). Control and information in the intrapersonal sphere: An extension of cognitive evaluation theory. Journal of Personality and Social Psychology, 43(3), 450.
Schlenker, B. R. (2003). Self-presentation. Handbook of self and identity, 2, 542-570.
Shah, R., & Goldstein, S. M. (2006). Use of structural equation modeling in operations management research: Looking back and forward. Journal of Operations Management, 24(2), 148-169.
Shamma, D. A., Churchill, E. F., Bobb, N., & Fukuda, M. (2009). Spinning online: a case study of internet broadcasting by DJs. Proceedings of the fourth international conference on Communities and technologies, 175-184.
Sheppard, B. H., Hartwick, J., & Warshaw, P. R. (1988). The theory of reasoned action: A meta-analysis of past research with recommendations for modifications and future research. Journal of Consumer Research, 15(3), 325-343.
Singh, S., Singh, N., Kalinić, Z., & Liébana-Cabanillas, F. J. (2021). Assessing determinants influencing continued use of live streaming services: An extended perceived value theory of streaming addiction. Expert Systems with Applications, 168, 114241.
Sirgy, M. J. (1982). Self-concept in consumer behavior: A critical review. Journal of Consumer Research, 9(3), 287-300.
Sjöblom, M., & Hamari, J. (2017). Why do people watch others play video games? An empirical study on the motivations of Twitch users. Computers in Human Behavior, 75, 985-996.
Sjöblom, M., Törhönen, M., Hamari, J., & Macey, J. (2017). Content structure is king: An empirical study on gratifications, game genres and content type on Twitch. Computers in Human Behavior, 73, 161-171.
Smith, T., Obrist, M., & Wright, P. (2013). Live-streaming changes the (video) game. Proceedings of the 11th european conference on Interactive TV and video, 131-138.
Sprecher, S., Treger, S., & Wondra, J. D. (2013). Effects of self-disclosure role on liking, closeness, and other impressions in get-acquainted interactions. Journal of Social and Personal Relationships, 30(4), 497-514.
Sprecher, S., Treger, S., Wondra, J. D., Hilaire, N., & Wallpe, K. (2013). Taking turns: Reciprocal self-disclosure promotes liking in initial interactions. Journal of Experimental Social Psychology, 49(5), 860-866.
Stage, F. K., Carter, H. C., & Nora, A. (2004). Path analysis: An introduction and analysis of a decade of research. The Journal of Educational Research, 98(1), 5-13.
Stein, J.-P., Linda Breves, P., & Anders, N. (2022). Parasocial interactions with real and virtual influencers: The role of perceived similarity and human-likeness. New Media & Society, 0(0), 1-21.
Su, B.-C., Wu, L.-W., & Wu, J.-P. (2022). Exploring the Characteristics of YouTubers and Their Influence on Viewers’ Purchase Intention: A Viewers’ Pseudo-Social Interaction Perspective. Sustainability, 15(1), 550-579.
Sykownik, P., Maloney, D., Freeman, G., & Masuch, M. (2022). Something personal from the metaverse: goals, topics, and contextual factors of self-disclosure in commercial social VR. Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, 1-17.
Tal-Or, N. (2016). How co-viewing affects attitudes: The mediating roles of transportation and identification. Media Psychology, 19(3), 381-405.
Tal-Or, N. (2019). The relationship between viewing environment, narrative environment, and involvement with narratives: The case of temperature. Human Communication Research, 45(4), 395-426.
Tal-Or, N., & Hershman-Shitrit, M. (2015). Self-disclosure and the liking of participants in reality TV. Human Communication Research, 41(2), 245-267.
Tamborini, R., Bowman, N. D., Eden, A., Grizzard, M., & Organ, A. (2010). Defining media enjoyment as the satisfaction of intrinsic needs. Journal of Communication, 60(4), 758-777.
Tang, J. C., Venolia, G., & Inkpen, K. M. (2016). Meerkat and periscope: I stream, you stream, apps stream for live streams. Proceedings of the 2016 CHI conference on human factors in computing systems, 4770-4780.
Taylor, D. A., Wheeler, L., & Altman, I. (1973). Self-disclosure in isolated groups. Journal of Personality and Social Psychology, 26(1), 39.
Thomson, M. (2006). Human brands: Investigating antecedents to consumers’ strong attachments to celebrities. Journal of Marketing, 70(3), 104-119.
Torkzadeh, G., Koufteros, X., & Pflughoeft, K. (2003). Confirmatory analysis of computer self-efficacy. Structural Equation Modeling, 10(2), 263-275.
Truax, C. B. (1971). Self‐disclosure, genuineness, and the interpersonal relationship. Counselor Education and Supervision, 10(4), 351-354.
Tsay-Vogel, M., & Nabi, R. L. (2015). The power of positive action: Exploring the role of participatory behaviors through the lens of the tripartite model of media enjoyment. Journal of Broadcasting & Electronic Media, 59(4), 658-678.
Tsay-Vogel, M., & Schwartz, M. L. (2014). Theorizing parasocial interactions based on authenticity: The development of a media figure classification scheme. Psychology of Popular Media Culture, 3(2), 66.
Turner, A. B. (2022). Streaming as a virtual being: The complex relationship between VTubers and identity. [Ph.D. Dissertation Online]. Available: http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-53529.
Ullman, J. (2001). Structural equation modeling. Using multivariate statistics. Understanding multivariate statistics, 653-771.
Van Gorp, T., & Adams, E. (2012). Design for emotion. Elsevier.
Vittengl, J. R., & Holt, C. S. (2000). Getting acquainted: The relationship of self-disclosure and social attraction to positive affect. Journal of Social and Personal Relationships, 17(1), 53-66.
Walster, E., Aronson, V., Abrahams, D., & Rottman, L. (1966). Importance of physical attractiveness in dating behavior. Journal of Personality and Social Psychology, 4(5), 508-516.
Wan, Q., & Lu, Z. (2023). Investigating VTubing as a Reconstruction of Streamer Self-Presentation: Identity, Performance, and Gender. arXiv preprint arXiv:2307.11025.
Wang, S.-J., Hsu, C.-P., Huang, H.-C., & Chen, C.-L. (2015). How readers’ perceived self-congruity and functional congruity affect bloggers’ informational influence: Perceived interactivity as a moderator. Online Information Review, 39(4), 537-555.
Warner, R. (1980). Enjoyment. The philosophical review, 89(4), 507-526.
Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: the PANAS scales. Journal of Personality and Social Psychology, 54(6), 1063-1070.
Wheeless, L. R., & Grotz, J. (1976). Conceptualization and measurement of reported self‐disclosure. Human Communication Research, 2(4), 338-346.
Wohn, D. Y., Freeman, G., & McLaughlin, C. (2018). Explaining viewers′ emotional, instrumental, and financial support provision for live streamers. Proceedings of the 2018 CHI conference on human factors in computing systems, 1-13.
Wu, J., & Liu, D. (2007). The effects of trust and enjoyment on intention to play online games. Journal of Electronic Commerce Research, 8(2), 128-140.
Wu, Y., Li, Y., & Gui, X. (2022). " I Am Concerned, But...": Streamers′ Privacy Concerns and Strategies In Live Streaming Information Disclosure. Proceedings of the ACM on human-computer interaction, 6(CSCW2), 1-31.
Wulf, T., Schneider, F. M., & Beckert, S. (2020). Watching players: An exploration of media enjoyment on Twitch. Games and Culture, 15(3), 328-346.
Wulf, T., Schneider, F. M., & Queck, J. (2021). Exploring viewers′ experiences of parasocial interactions with videogame streamers on twitch. Cyberpsychology, Behavior, and Social Networking, 24(10), 648-653.
Xiao, M. (2020). Factors influencing eSports viewership: An approach based on the theory of reasoned action. Communication & Sport, 8(1), 92-122.
Yang, K.-C., Huang, C.-H., Yang, C., & Yang, S. Y. (2017). Consumer attitudes toward online video advertisement: YouTube as a platform. Kybernetes, 46(5), 840-853.
Zanna, M. P., & Rempel, J. K. (2008). Attitudes: A new look at an old concept, Psychology Press, 7-15.
Zhao, Z. (2022). The Live Commerce of VTuber. 2022 5th International Conference on Humanities Education and Social Sciences, 324-331.
Zhou, X. (2020). Virtual youtuber kizuna ai: co-creating human-non-human interaction and celebrity-audience relationship, MSc in Media and Communication.
Zillman, D., & Cantor, J. R. (1977). Affective responses to the emotions of a protagonist. Journal of Experimental Social Psychology, 13(2), 155-165.
Zillmann, D. (2000). Basal morality in drama appreciation; Moving images, culture, and the mind, Luton University Press, 53-63.
二、中文文獻
Lo, W.-T., & Tao, C.-C. (2015)。 輸球也快樂? 以情緒階段模式探討運動賽事享樂感. 資訊社會研究(29), 99-126.
張偉豪, & 統計學(2011)。 SEM 論文寫作不求人. 三星統計發行.
游易霖, & 方彩欣(2014)。 由情感模式探究消費者對虛擬角色認同感的重要性. 設計研究學報(7), 97-111.
黃芳銘(2015)。 結構方程模式-理論與應用. 台灣五南圖書出版股份有限公司.

三、日文文獻
横田健治(2019)。 バーチャル YouTuber の提供価値の分析. 電子情報通信学会誌= The journal of the Institute of Electronics, Information and Communication Engineers, 102(7), 654-659.
四、網路資料
《OpView社群口碑資料庫》(2021年7月22日)。 疫情下火紅的互動模式:直播平台網路聲量分析。《OpView社群口碑資料庫》。https://www.opview.com.tw/social_watch
BusinessDigestEditorial (2022年1月21日)。 【行銷有辦法】品牌吉祥物行銷古老但很有效!好處到底在哪?。 https://businessdigest.io/%E5%95%86%E6%A5%AD%E6%99%BA%E6%85%A7/%E8%A1%8C%E9%8A%B7%E6%9C%89%E8%BE%A6%E6%B3%95-%E5%93%81%E7%89%8C%E5%90%89%E7%A5%A5%E7%89%A9%E8%A1%8C%E9%8A%B7%E5%8F%A4%E8%80%81%E4%BD%86%E5%BE%88%E6%9C%89%E6%95%88-%E5%A5%BD%E8%99%95%E5%88%B0%E5%BA%95%E5%9C%A8%E5%93%AA
HypeAuditor (2021年12月7日). The Top Virtual Instagram Influencers in 2021. https://hypeauditor.com/blog/the-top-instagram-virtual-influencers-in-2021/
KOL Rader(2022年3月24日)。 VTuber 是什麼?AI 虛擬網紅會取代一般網 紅嗎?
https://www.kolradar.com/blog/trend-sharing/vtuber-marketing-trend/
National Geographic of Azeroth Forum (2020). National Geographic of Azeroth Forum: VTuber Discussion Board.
https://bbs.nga.cn/thread.php?fd=-60204499.
PLAYBOARD(2021). 2021 Most Super Chatted.
https://playboard.co/en/youtube-ranking/most-superchatted-all-channels-in-worldwide-yearly?period=1609459200
PLAYBOARD(2022). 2022 Most Super Chatted.
https://playboard.co/en/youtube-ranking/most-superchatted-all-channels-in-worldwide-yearly?period=1609459200
UserLocal(2020). バーチャルYouTuber、本日1万3千人を突破(ユーザーローカル調べ).
https://www.userlocal.jp/press/20201109vi/
UserLocal(2022). VTuber(バーチャルYouTuber)、ついに2万人を突破(ユーザーローカル調べ).
https://www.userlocal.jp/press/20221129vt/
VIVE後浪潮(2021年9月24日)。 逐漸模糊的界線,比真人更真實的虛擬偶像.
https://www.vivepostwave.com/3633/alter-ego/
WENKMEDIA(2021年11月12日)。 二次元虛擬Youtuber當道!VTuber製作流程大公開。
https://blog.wenk-media.com/?p=1316
今周刊(2021年7月13日)。 「VTuber」浪潮襲來! 大學生創業、開直播 盼把台灣推向世界。https://www.businesstoday.com.tw/article/category/80392/post/202107130034/
王國川(2000)。內在效度的威脅。教育大辭書https://pedia.cloud.edu.tw/Entry/Detail/?title=%E5%85%A7%E5%9C%A8%E6%95%88%E5%BA%A6%E7%9A%84%E5%A8%81%E8%84%85
王國川(2000)。外在效度的威脅。教育大辭書
https://pedia.cloud.edu.tw/Entry/Detail/?title=%E5%A4%96%E5%9C%A8% E6%95%88%E5%BA%A6%E7%9A%84%E5%A8%81%E8%84%85
株 式 会 社 ユ ザ ロ カ ル(2020).
https://virtual-youtuber.userlocal.jp/document/ranking
烽燧視覺/FSVP(2023年7月7日)。 虛擬人發展趨勢:VTuber 商業應用。 https://vocus.cc/article/64a78f14fd897800014ff36f
遊戲角落(2021年4月3日)。 好好看台不行嗎?Vtuber最受不了的觀眾行為大蒐集.
https://game.udn.com/game/story/122090/5362110
指導教授 李憶萱(Yi-Hsuan Lee) 審核日期 2023-10-17
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