Responsive image
博碩士論文 etd-0618122-233059 詳細資訊
Title page for etd-0618122-233059
論文名稱
Title
「聊」進「擬」心裡—聊天機器人不同對話風格對購買意圖之影響:以性別與表情符號作為干擾變數
「Talk to Your Heart」— The Effect of Different Conversation Styles on Purchase Intentions in a Chatbot: The Moderating Effect of Gender and Emoji
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
133
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2022-06-20
繳交日期
Date of Submission
2022-07-18
關鍵字
Keywords
聊天機器人、社會判斷維度、性別、表情符號、對話風格、擬人化感知、社會臨場感
Chatbot, Dimensions of social judgment, Gender, Emoji, Conversation Style on Chatbot, Anthropomorphic Perceptions, Social Presence
統計
Statistics
本論文已被瀏覽 323 次,被下載 138
The thesis/dissertation has been browsed 323 times, has been downloaded 138 times.
中文摘要
近幾年來,不論是品牌或電商平台皆已開始使用聊天機器人作為業者與消費者之間的溝通橋樑。除了可以降低銷售成本、提高銷售額外,還可以減少消費者等待回覆的時間,以提升消費體驗。然而,仍有許多消費者因為聊天機器人不夠人性化而抗拒它,從而降低購買意圖,故如何使聊天機器人具有更人性化的感覺甚為重要。因此,本研究欲以擬人化線索中的對話線索為基礎,探討聊天機器人不同對話風格如何透過擬人化感知及社會臨場感,對推薦產品的購買意圖產生不同影響。同時,本研究也納入可能影響對話風格的因素—聊天機器人性別及表情符號進行更深入的探究。
本研究於實驗一使用2種聊天機器人對話風格(溫暖維度 vs. 能力維度)之單因子組間設計;實驗二為2(對話風格:溫暖維度 vs. 能力維度) X 2(聊天機器人性別:男 vs. 女) X 2(表情符號:有 vs. 無)之三因子組間設計。透過實驗了解聊天機器人對話風格、性別及表情符號之間的適配,會如何影響消費者的擬人化感知,以及中間透過擬人化感知及社會臨場感影響購買意圖所產生的效果。研究結果發現,相較於能力維度,溫暖維度的對話風格會有較高的擬人化感知,且當消費者產生的擬人化感知越高,對於聊天機器人所推薦之產品的購買意圖就越好。再者,聊天機器人性別及表情符號會干擾消費者因不同對話風格所引發的擬人化感知,當聊天機器人性別為女性時,相較於能力維度,對話風格為溫暖維度會引起較高的擬人化感知;但當聊天機器人性別為男性時,則無顯著影響;當有使用表情符號時,除了增強聊天機器人為女性且對話風格為溫暖維度的擬人化感知外,也會增強為男性且對話風格為能力維度時,對擬人化感知的效果。最後,擬人化感知及社會臨場感確實為聊天機器人對話風格影響購買意圖的重要中介變數。
Abstract
In recent years, both brands and e-commerce platforms have started to use chatbots to communicate. In addition to reducing costs and increasing sales, also reduce the time for consumers to wait for a reply to enhance the experience. However, there are still many consumers who resist chatbots because chatbots aren’t humanized enough, thus reducing their purchase intention. So how to make chatbots more humanized is very important. Based on the dialogue cues, this study aims to explore how different conversation styles of chatbots influences on the purchase intention differently through anthropomorphic perception and social presence. This study also added the factors like gender and emoji of chatbots which may affect the conversation style.
Experiment 1 is a one-factor inter-group design of two chatbot conversation styles (warmth vs. competence). Experiment 2 is a three-factor inter-group design of 2 (conversation styles: warmth vs. competence) X2 (chatbots gender: male vs. female) X2 (emoji: yes vs. no). We can find out how the adaptation of chatbot's conversation style, gender and emoji will affect anthropomorphic perception, and the effect of anthropomorphic perception and social presence on purchase intention. The results show that, compared with the competence, the warmth conversation style has a higher anthropomorphic perception, and better purchase intention of products recommended by chatbots. And gender and emoji of chatbots will interfere with anthropomorphic perception caused by conversation styles. When the gender of chatbots is female, compared with the competence, the warmth conversation style will cause higher anthropomorphic perception; However, when the chatbot’s gender is male, it has no significant effect. When emoji is used, it can’t only enhance anthropomorphic perception that the chatbot is female and conversation style is warmth, but also enhance when the chatbot is male and conversation style is competence. Finally, anthropomorphic perception and social presence are indeed important intermediary variables of chatbot's conversation style affecting purchase intention.
目次 Table of Contents
論文審定書 i
誌謝 ii
摘要 iii
第壹章 緒論 1
第一節 研究背景 1
第二節 研究動機 4
第三節 研究目的 9
第貳章 文獻探討 10
第一節 聊天機器人(Chatbot) 10
第二節 聊天機器人對話風格(Conversation Style on Chatbot) 13
第三節 社會判斷維度(Dimensions of social judgment) 16
第四節 性別(Gender) 18
第五節 表情符號(Emoji) 22
第六節 擬人化感知(Anthropomorphic Perceptions) 25
第七節 社會臨場感(Social Presence) 27
第八節 購買意圖(Purchase Intention) 30
第參章 研究架構與研究假說 31
第一節 研究架構 31
第二節 假說推論 31
第肆章 研究方法 41
第一節 實驗前測 41
第二節 實驗一 43
第三節 實驗二 49
第伍章、研究結果 57
第一節、實驗一之分析結果 57
第二節、實驗二之分析結果 65
第陸章、結論與建議 78
第一節 主要研究發現與討論 78
第二節 理論貢獻 81
第三節 實務貢獻 82
第四節 研究限制與未來方向 84
參考文獻 86
附錄一、前測問卷 107
附錄二、正式實驗問卷 110
參考文獻 References
李美枝. (1984). 性別角色與兩性差異. 心理學 (271-292). 台北: 空中大學.
凱絡媒體週報. (2019). 媒體專題:橘色商機無限!誰說年輕人才會網購?. https://twncarat.wordpress.com/2019/08/01/媒體專題:橘色商機無限!誰說年輕人才會網購?/
黄玄鳳, 宋海, & 榮氣. (2008). 性別角色與主觀幸福感的關係模型: 基於中國大學生的檢驗. 心理學報, 4, 474-486.
戴子良. (2014). 員工性別角色在離職意願與服務態度表現之探討—以公關顧問公司產業為例. 中山大學傳播管理研究所學位論文, 1-90.
Aaker, D. A., Stayman, D. M., & Hagerty, M. R. (1986). Warmth in advertising: Measurement, impact, and sequence effects. Journal of Consumer Research, 12(4), 365-381.
Aaker, J., Fournier, S., & Brasel, S. A. (2004). When good brands do bad. Journal of Consumer Research, 31(1), 1-16.
Aaker, J., Vohs, K. D., & Mogilner, C. (2010). Nonprofits are seen as warm and for-profits as competent: Firm stereotypes matter. Journal of Consumer Research, 37(2), 224-237.
Aaker, J. L., Garbinsky, E. N., & Vohs, K. D. (2012). Cultivating admiration in brands: Warmth, competence, and landing in the “golden quadrant”. Journal of Consumer Psychology, 22(2), 191-194.
Abele, A. E. (2003). The dynamics of masculine-agentic and feminine-communal traits: findings from a prospective study. Journal of personality and social psychology, 85(4), 768.
Abele, A. E., Cuddy, A. J., Judd, C. M., & Yzerbyt, V. Y. (2008). Fundamental dimensions of social judgment. In: John Wiley & Sons, Ltd. Chichester, UK.
Abele, A. E., & Wojciszke, B. (2007). Agency and communion from the perspective of self versus others. Journal of personality and social psychology, 93(5), 751.
Adam, M., Wessel, M., & Benlian, A. (2020). AI-based chatbots in customer service and their effects on user compliance. Electronic Markets, 9(2), 204.
Aggarwal, P., & McGill, A. L. (2007). Is that car smiling at me? Schema congruity as a basis for evaluating anthropomorphized products. Journal of Consumer Research, 34(4), 468-479.
Aggarwal, P., & McGill, A. L. (2012). When brands seem human, do humans act like brands? Automatic behavioral priming effects of brand anthropomorphism. Journal of Consumer Research, 39(2), 307-323.
Akerlof, G. A., & Dickens, W. T. (1982). The economic consequences of cognitive dissonance. The American economic review, 72(3), 307-319.
Aldunate, N., & González-Ibáñez, R. (2017). An integrated review of emoticons in computer-mediated communication. Frontiers in psychology, 7, 2061.
Algharabat, R., Rana, N. P., Dwivedi, Y. K., Alalwan, A. A., & Qasem, Z. (2018). The effect of telepresence, social presence and involvement on consumer brand engagement: An empirical study of non-profit organizations. Journal of Retailing and Consumer Services, 40, 139-149.
Allport, G. W., Clark, K., & Pettigrew, T. (1954). The nature of prejudice.
Alshenqeeti, H. (2016). Are emojis creating a new or old visual language for new generations? A socio-semiotic study. Advances in Language and Literary Studies, 7(6).
Araujo, T. (2018). Living up to the chatbot hype: The influence of anthropomorphic design cues and communicative agency framing on conversational agent and company perceptions. Computers in human behavior, 85, 183-189.
Argyle, M., & Dean, J. (1965). Eye-contact, distance and affiliation. Sociometry, 289-304.
Argyris, C. (1985). Interventions for improving leadership effectiveness. Journal of Management Development.
Ashforth, B. E., & Humphrey, R. H. (1995). Emotion in the workplace: A reappraisal. Human relations, 48(2), 97-125.
Ashmore, R. D., & Del Boca, F. K. (1981). Conceptual approaches to stereotypes and stereotyping. Cognitive processes in stereotyping and intergroup behavior, 1, 35.
Baker, M. J., & Churchill Jr, G. A. (1977). The impact of physically attractive models on advertising evaluations. Journal of marketing research, 14(4), 538-555.
Basfirinci, C., Cilingir,Zuhal. (2015). Anthropomorphism and advertising effectiveness: Moderating roles of product involvement and the type of consumer need. Journal of Social and Administrative Sciences, 2(3), 108-131.
Baylor, A. L., & Kim, Y. (2004). Pedagogical agent design: The impact of agent realism, gender, ethnicity, and instructional role. International conference on intelligent tutoring systems,
Beattie, A., Edwards, A. P., & Edwards, C. (2020). A bot and a smile: Interpersonal impressions of chatbots and humans using emoji in computer-mediated communication. Communication Studies, 71(3), 409-427.
Beldad, A., De Jong, M., & Steehouder, M. (2010). How shall I trust the faceless and the intangible? A literature review on the antecedents of online trust. Computers in human behavior, 26(5), 857-869.
Benbasat, I., & Wang, W. (2005). Trust in and adoption of online recommendation agents. Journal of the association for information systems, 6(3), 4.
Bente, G., Rüggenberg, S., Krämer, N. C., & Eschenburg, F. (2008). Avatar-mediated networking: Increasing social presence and interpersonal trust in net-based collaborations. Human communication research, 34(2), 287-318.
Bertacchini, F., Bilotta, E., & Pantano, P. (2017). Shopping with a robotic companion. Computers in human behavior, 77, 382-395.
Bickmore, T., & Cassell, J. (2001). Relational agents: a model and implementation of building user trust. Proceedings of the SIGCHI conference on Human factors in computing systems,
Biocca, F., Burgoon, J., Harms, C., & Stoner, M. (2001). Criteria and scope conditions for a theory and measure of social presence. Presence: Teleoperators and virtual environments.
Bittman, M., England, P., Sayer, L., Folbre, N., & Matheson, G. (2003). When does gender trump money? Bargaining and time in household work. American Journal of sociology, 109(1), 186-214.
Blackstone, A. M. (2003). Gender roles and society.
Blau, P. M. (2017). Exchange and power in social life. Routledge.
Bordalo, P., Coffman, K., Gennaioli, N., & Shleifer, A. (2016). Stereotypes. The Quarterly Journal of Economics, 131(4), 1753-1794.
Brambilla, M., Sacchi, S., Castellini, F., & Riva, P. (2010). The effects of status on perceived warmth and competence. Social Psychology.
Brandtzaeg, P. B., & Følstad, A. (2017). Why people use chatbots. International conference on internet science,
Brandtzaeg, P. B., & Følstad, A. (2018). Chatbots: changing user needs and motivations. Interactions, 25(5), 38-43.
Bridges, J. S., Etaugh, C., & Barnes‐Farrell, J. (2002). Trait judgments of stay‐at‐home and employed parents: A function of social role and/or shifting standards? Psychology of Women Quarterly, 26(2), 140-150.
Broverman, I. K., Vogel, S. R., Broverman, D. M., Clarkson, F. E., & Rosenkrantz, P. S. (1972). Sex‐Role Stereotypes: A Current Appraisal 1. Journal of social issues, 28(2), 59-78.
Burgoon, J. K., Buller, D. B., Hale, J. L., & de Turck, M. A. (1984). Relational messages associated with nonverbal behaviors. Human communication research, 10(3), 351-378.
Burke, K., & Chidambaram, L. (1999). How much bandwidth is enough? A longitudinal examination of media characteristics and group outcomes. MIS quarterly, 557-579.
Cath, C., Wachter, S., Mittelstadt, B., Taddeo, M., & Floridi, L. (2018). Artificial intelligence and the ‘good society’: the US, EU, and UK approach. Science and engineering ethics, 24(2), 505-528.
Chairunnisa, S., & Benedictus, A. (2017). Analysis of emoji and emoticon usage in interpersonal communication of Blackberry messenger and WhatsApp application user. International Journal of Social Sciences and Management, 4(2), 120-126.
Chalabaev, A., Sarrazin, P., Fontayne, P., Boiché, J., & Clément-Guillotin, C. (2013). The influence of sex stereotypes and gender roles on participation and performance in sport and exercise: Review and future directions. Psychology of sport and exercise, 14(2), 136-144.
Chandler, J., & Schwarz, N. (2010). Use does not wear ragged the fabric of friendship: Thinking of objects as alive makes people less willing to replace them. Journal of Consumer Psychology, 20(2), 138-145.
Chattaraman, V., Kwon, W.-S., Gilbert, J. E., & Ross, K. (2019). Should AI-Based, conversational digital assistants employ social-or task-oriented interaction style? A task-competency and reciprocity perspective for older adults. Computers in human behavior, 90, 315-330.
Chen, J. V., Su, B.-c., & Widjaja, A. E. (2016). Facebook C2C social commerce: A study of online impulse buying. Decision Support Systems, 83, 57-69.
Chen, X., & Siu, K. W. M. (2017). Exploring user behaviour of emoticon use among Chinese youth. Behaviour & Information Technology, 36(6), 637-649.
Chen, Z., Lu, X., Ai, W., Li, H., Mei, Q., & Liu, X. (2018). Through a gender lens: learning usage patterns of emojis from large-scale Android users. Proceedings of the 2018 World Wide Web Conference,
Chou, H.-Y., & Chiu, Y.-C. (2019). 吃硬不吃軟: 食品口感文字描述對熱量預估之影響. 管理學報, 36(1), 53-82.
Chung, M., Ko, E., Joung, H., & Kim, S. J. (2020). Chatbot e-service and customer satisfaction regarding luxury brands. Journal of Business Research, 117, 587-595.
Cialdini, R. B. (2001). The science of persuasion. Scientific American, 284(2), 76-81.
Ciechanowski, L., Przegalinska, A., Magnuski, M., & Gloor, P. (2019). In the shades of the uncanny valley: An experimental study of human–chatbot interaction. Future Generation Computer Systems, 92, 539-548.
Cikara, M., & Fiske, S. T. (2009). Warmth, competence, and ambivalent sexism: Vertical assault and collateral damage. American Psychological Association.
Corritore, C. L., Kracher, B., & Wiedenbeck, S. (2003). On-line trust: concepts, evolving themes, a model. International Journal of Human-Computer Studies, 58(6), 737-758.
Cyr, D., Hassanein, K., Head, M., & Ivanov, A. (2007). The role of social presence in establishing loyalty in e-service environments. Interacting with computers, 19(1), 43-56.
Cyr, D., Head, M., Larios, H., & Pan, B. (2009). Exploring human images in website design: a multi-method approach. MIS quarterly, 539-566.
Das, G., Wiener, H. J., & Kareklas, I. (2019). To emoji or not to emoji? Examining the influence of emoji on consumer reactions to advertising. Journal of Business Research, 96, 147-156.
De Cicco, R., e Silva, S. C., & Alparone, F. R. (2020). Millennials' attitude toward chatbots: an experimental study in a social relationship perspective. International Journal of Retail & Distribution Management.
De Cicco, R., Silva, S. C. L. d. C. e., & Alparone, F. R. (2021). “It’s on its way”: Chatbots applied for online food delivery services, social or task-oriented interaction style? Journal of Foodservice Business Research, 24(2), 140-164.
De Meulenaer, S., Dens, N., De Pelsmacker, P., & Eisend, M. (2018). How consumers' values influence responses to male and female gender role stereotyping in advertising. International Journal of Advertising, 37(6), 893-913.
Delbaere, M., McQuarrie, E. F., & Phillips, B. J. (2011). Personification in advertising. Journal of Advertising, 40(1), 121-130.
Derks, D., Bos, A. E., & Von Grumbkow, J. (2007). Emoticons and social interaction on the Internet: the importance of social context. Computers in human behavior, 23(1), 842-849.
Derks, D., Fischer, A. H., & Bos, A. E. (2008). The role of emotion in computer-mediated communication: A review. Computers in human behavior, 24(3), 766-785.
Derry, R. (1999). Feminist theory and business ethics. A companion to business ethics, 81-87.
Diekman, A. B., & Eagly, A. H. (2000). Stereotypes as dynamic constructs: Women and men of the past, present, and future. Personality and social psychology bulletin, 26(10), 1171-1188.
Diekman, A. B., & Goodfriend, W. (2006). Rolling with the changes: A role congruity perspective on gender norms. Psychology of Women Quarterly, 30(4), 369-383.
Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand, and store information on buyers’ product evaluations. Journal of marketing research, 28(3), 307-319.
Donath, J. (2007). Signals in social supernets. Journal of Computer-Mediated Communication, 13(1), 231-251.
Dresner, E., & Herring, S. C. (2010). Functions of the nonverbal in CMC: Emoticons and illocutionary force. Communication theory, 20(3), 249-268.
Dunlap, J. C., Bose, D., Lowenthal, P. R., York, C. S., Atkinson, M., & Murtagh, J. (2016). What sunshine is to flowers: A literature review on the use of emoticons to support online learning. Emotions, technology, design, and learning, 163-182.
Eagly, A. H., & Karau, S. J. (2002). Role congruity theory of prejudice toward female leaders. Psychological review, 109(3), 573.
Eagly, A. H., & Mladinic, A. (1994). Are people prejudiced against women? Some answers from research on attitudes, gender stereotypes, and judgments of competence. European review of social psychology, 5(1), 1-35.
Eckes, T. (2002). Paternalistic and envious gender stereotypes: Testing predictions from the stereotype content model. Sex roles, 47(3), 99-114.
Edwards, C., Edwards, A., Spence, P. R., & Westerman, D. (2016). Initial interaction expectations with robots: Testing the human-to-human interaction script. Communication Studies, 67(2), 227-238.
Ellemers, N. (2018). Gender stereotypes. Annual review of psychology, 69, 275-298.
Elsholz, E., Chamberlain, J., & Kruschwitz, U. (2019). Exploring language style in chatbots to increase perceived product value and user engagement. Proceedings of the 2019 Conference on Human Information Interaction and Retrieval,
Epley, N., Waytz, A., & Cacioppo, J. T. (2007). On seeing human: a three-factor theory of anthropomorphism. Psychological review, 114(4), 864.
Etaugh, C., & Poertner, P. (1992). Perceptions of women: Influence of performance, marital and parental variables. Sex roles, 26(7), 311-321.
Etemad-Sajadi, R. (2016). The impact of online real-time interactivity on patronage intention: The use of avatars. Computers in human behavior, 61, 227-232.
Festinger, L. (1957). A theory of cognitive dissonance (Vol. 2). Stanford university press.
Fischer, J., & Anderson, V. N. (2012). Gender role attitudes and characteristics of stay-at-home and employed fathers. Psychology of Men & Masculinity, 13(1), 16.
Fiske, S. T., Cuddy, A. J., & Glick, P. (2007). Universal dimensions of social cognition: Warmth and competence. Trends in cognitive sciences, 11(2), 77-83.
Fiske, S. T., Cuddy, A. J., Glick, P., & Xu, J. (2002). A model of (often mixed) stereotype content: competence and warmth respectively follow from perceived status and competition. Journal of personality and social psychology, 82(6), 878.
Fitzpatrick, K. K., Darcy, A., & Vierhile, M. (2017). Delivering cognitive behavior therapy to young adults with symptoms of depression and anxiety using a fully automated conversational agent (Woebot): a randomized controlled trial. JMIR mental health, 4(2), e7785.
Folbre, N. (2012). Should women care less? Intrinsic motivation and gender inequality. British Journal of Industrial Relations, 50(4), 597-619.
Følstad, A., Nordheim, C. B., & Bjørkli, C. A. (2018). What makes users trust a chatbot for customer service? An exploratory interview study. International conference on internet science,
Forbes. (2019). AI Stats News: Chatbots Increase Sales By 67% But 87% Of Consumers Prefer Humans. https://www.forbes.com/sites/gilpress/2019/11/25/ai-stats-news-chatbots-increase-sales-by-67-but-87-of-consumers-prefer-humans/?sh=11002cbc48a3
Forbes. (2021). The Massive Marketing World Shift To Quality (And Performance) Over Quantity. Forbes. Retrieved 10/26 from https://www.forbes.com/sites/forbestechcouncil/2021/10/26/the-massive-marketing-world-shift-to-quality-and-performance-over-quantity/?sh=600b915fbb09
Fournier, S. (1998). Consumers and their brands: Developing relationship theory in consumer research. Journal of Consumer Research, 24(4), 343-373.
Fournier, S., & Avery, J. (2011). The uninvited brand. Business horizons, 54(3), 193-207.
Fryer, L. K., Ainley, M., Thompson, A., Gibson, A., & Sherlock, Z. (2017). Stimulating and sustaining interest in a language course: An experimental comparison of Chatbot and Human task partners. Computers in human behavior, 75, 461-468.
Fryer, L. K., Nakao, K., & Thompson, A. (2019). Chatbot learning partners: Connecting learning experiences, interest and competence. Computers in human behavior, 93, 279-289.
Fullwood, C., & Martino, O. I. (2007). Emoticons and impression formation. Applied Semiotics, 19(7), 4-14.
Gadi Benmark, D. S. (2012). Turn Customer Care into “Social Care” to Break Away from the Competition. Harvard Business Review. https://hbr.org/2012/12/turn-customer-care-into-social
Ganguly, B., Dash, S. B., Cyr, D., & Head, M. (2010). The effects of website design on purchase intention in online shopping: the mediating role of trust and the moderating role of culture. International Journal of Electronic Business, 8(4-5), 302-330.
Ge, J. (2019). Emoji sequence use in enacting personal identity. Companion proceedings of the 2019 world wide web conference,
Gefen, D., & Straub, D. (2003). Managing user trust in B2C e-services. e-Service, 2(2), 7-24.
Gefen, D., & Straub, D. W. (2004). Consumer trust in B2C e-Commerce and the importance of social presence: experiments in e-Products and e-Services. Omega, 32(6), 407-424.
Ghose, S., & Barua, J. J. (2013). Toward the implementation of a topic specific dialogue based natural language chatbot as an undergraduate advisor. 2013 international conference on informatics, electronics and vision (ICIEV),
Gibson, W., Huang, P., & Yu, Q. (2018). Emoji and communicative action: The semiotics, sequence and gestural actions of ‘face covering hand’. Discourse, Context & Media, 26, 91-99.
Go, E., & Sundar, S. S. (2019). Humanizing chatbots: The effects of visual, identity and conversational cues on humanness perceptions. Computers in human behavior, 97, 304-316.
Godes, D., Mayzlin, D., Chen, Y., Das, S., Dellarocas, C., Pfeiffer, B., Libai, B., Sen, S., Shi, M., & Verlegh, P. (2005). The firm's management of social interactions. Marketing letters, 16(3), 415-428.
Golossenko, A., Pillai, K. G., & Aroean, L. (2020). Seeing brands as humans: Development and validation of a brand anthropomorphism scale. International Journal of Research in Marketing, 37(4), 737-755.
Gonzalez-Jimenez, H. (2018). Taking the fiction out of science fiction:(Self-aware) robots and what they mean for society, retailers and marketers. Futures, 98, 49-56.
GOSKY. (2019). 拯救購物車!汽車配件電商使用Chatbot獲利達ROAS 9.99. https://goskyai.com/tw/blog/casestudy/3d-mats/
Grunspan, D. Z., Eddy, S. L., Brownell, S. E., Wiggins, B. L., Crowe, A. J., & Goodreau, S. M. (2016). Males under-estimate academic performance of their female peers in undergraduate biology classrooms. PloS one, 11(2), e0148405.
Gunawardena, C. N., Nolla, A. C., Wilson, P. L., Lopez‐Islas, J. R., Ramirez‐Angel, N., & Megchun‐Alpizar, R. M. (2001). A cross‐cultural study of group process and development in online conferences. Distance Education, 22(1), 85-121.
Gunawardena, C. N., & Zittle, F. J. (1997). Social presence as a predictor of satisfaction within a computer‐mediated conferencing environment. American journal of distance education, 11(3), 8-26.
Haberstroh, S. (2010). College counselors' use of informal language online: Student perceptions of expertness, trustworthiness, and attractiveness. Cyberpsychology, Behavior, and Social Networking, 13(4), 455-459.
Hall, J. A., & Pennington, N. (2013). Self-monitoring, honesty, and cue use on Facebook: The relationship with user extraversion and conscientiousness. Computers in human behavior, 29(4), 1556-1564.
Han, M. C. (2021). The impact of anthropomorphism on consumers’ purchase decision in chatbot commerce. Journal of Internet Commerce, 20(1), 46-65.
Hassanein, K., & Head, M. (2007). Manipulating perceived social presence through the web interface and its impact on attitude towards online shopping. International Journal of Human-Computer Studies, 65(8), 689-708.
Heerink, M., Kröse, B., Evers, V., & Wielinga, B. (2010). Relating conversational expressiveness to social presence and acceptance of an assistive social robot. Virtual reality, 14(1), 77-84.
Heider, F., & Simmel, M. (1944). An experimental study of apparent behavior. The American journal of psychology, 57(2), 243-259.
Heilman, M. E. (2012). Gender stereotypes and workplace bias. Research in organizational Behavior, 32, 113-135.
Hess, A. C., & Melnyk, V. (2016). Pink or blue? The impact of gender cues on brand perceptions. European Journal of Marketing.
Hill, J., Ford, W. R., & 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.
Hilton, J. L., & Von Hippel, W. (1996). Stereotypes. Annual review of psychology, 47(1), 237-271.
Hogenboom, A., Bal, D., Frasincar, F., Bal, M., de Jong, F., & Kaymak, U. (2013). Exploiting emoticons in sentiment analysis. Proceedings of the 28th annual ACM symposium on applied computing,
Holtgraves, T., Ross, S. J., Weywadt, C., & Han, T. (2007). Perceiving artificial social agents. Computers in human behavior, 23(5), 2163-2174.
Holzwarth, M., Janiszewski, C., & Neumann, M. M. (2006). The influence of avatars on online consumer shopping behavior. Journal of marketing, 70(4), 19-36.
Hu, T., Guo, H., Sun, H., Nguyen, T.-v., & Luo, J. (2017). Spice up your chat: the intentions and sentiment effects of using emojis. Proceedings of the International AAAI Conference on Web and Social Media,
Huang, M.-H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49(1), 30-50.
IJzerman, H., & Semin, G. R. (2009). The thermometer of social relations: Mapping social proximity on temperature. Psychological science, 20(10), 1214-1220.
Ivens, B. S., Leischnig, A., Muller, B., & Valta, K. (2015). On the role of brand stereotypes in shaping consumer response toward brands: An empirical examination of direct and mediating effects of warmth and competence. Psychology & Marketing, 32(8), 808-820.
Jack, R. E., Blais, C., Scheepers, C., Schyns, P. G., & Caldara, R. (2009). Cultural confusions show that facial expressions are not universal. Current biology, 19(18), 1543-1548.
Jaeger, S. R., Roigard, C. M., Jin, D., Vidal, L., & Ares, G. (2019). Valence, arousal and sentiment meanings of 33 facial emoji: Insights for the use of emoji in consumer research. Food research international, 119, 895-907.
Jaffe, L. J., & Berger, P. D. (1994). The effect of modern female sex role portrayals on advertising effectiveness. Journal of Advertising Research, 34(4), 32-42.
Jarvenpaa, S. L., Tractinsky, N., & Vitale, M. (2000). Consumer trust in an Internet store. Information technology and management, 1(1), 45-71.
Jenkins, M.-C., Churchill, R., Cox, S., & Smith, D. (2007). Analysis of user interaction with service oriented chatbot systems. International Conference on Human-Computer Interaction,
Jeong, S. G., Hur, H. J., & Choo, H. J. (2020). The Effect of Fashion Shopping Chatbot Characteristics on Service Acceptance Intention-Focusing on Anthropomorphism and Personalization. Journal of the Korean Society of Clothing and Textiles, 44(4), 573-593.
Jiang, C., Rashid, R. M., & Wang, J. (2019). Investigating the role of social presence dimensions and information support on consumers’ trust and shopping intentions. Journal of Retailing and Consumer Services, 51, 263-270.
Jibril, T. A., & Abdullah, M. H. (2013). Relevance of emoticons in computer-mediated communication contexts: An overview. Asian Social Science, 9(4), 201.
Jin, S.-A. A. (2010). The effects of incorporating a virtual agent in a computer-aided test designed for stress management education: The mediating role of enjoyment. Computers in human behavior, 26(3), 443-451.
Jin, S. V., & Youn, S. (2021). Why do consumers with social phobia prefer anthropomorphic customer service chatbots? Evolutionary explanations of the moderating roles of social phobia. Telematics and Informatics, 62, 101644.
Jones, E. E. (1990). Interpersonal perception. WH Freeman/Times Books/Henry Holt & Co.
Jovic, D. (2020). The future is now–37 fascinating chatbot statistics. In: Smallbizgenius. https://www. smallbizgenius. net/by-the-numbers ….
Judd, C. M., James-Hawkins, L., Yzerbyt, V., & Kashima, Y. (2005). Fundamental dimensions of social judgment: understanding the relations between judgments of competence and warmth. Journal of personality and social psychology, 89(6), 899.
Judd, C. M., & Park, B. (1993). Definition and assessment of accuracy in social stereotypes. Psychological review, 100(1), 109.
Juniper. (2021). Conversational Commerce Statistics. https://www.juniperresearch.com/infographics/conversational-commerce-statistics
Jussim, L. (1991). Social perception and social reality: A reflection-construction model. Psychological review, 98(1), 54.
Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of Social Media. Business horizons, 53(1), 59-68.
Kassarjian, H. H., & Cohen, J. B. (1965). Cognitive dissonance and consumer behavior. California Management Review, 8(1), 55-64.
Katz, D., & Braly, K. (1933). Racial stereotypes of one hundred college students. The Journal of Abnormal and Social Psychology, 28(3), 280.
Kaye, L. K., Malone, S. A., & Wall, H. J. (2017). Emojis: Insights, affordances, and possibilities for psychological science. Trends in cognitive sciences, 21(2), 66-68.
Kaye, L. K., Rodriguez-Cuadrado, S., Malone, S. A., Wall, H. J., Gaunt, E., Mulvey, A. L., & Graham, C. (2021). How emotional are emoji?: Exploring the effect of emotional valence on the processing of emoji stimuli. Computers in human behavior, 116, 106648.
Keeling, K., McGoldrick, P., & Beatty, S. (2010). Avatars as salespeople: Communication style, trust, and intentions. Journal of Business Research, 63(8), 793-800.
Kelleher, T., & Miller, B. M. (2006). Organizational blogs and the human voice: Relational strategies and relational outcomes. Journal of Computer-Mediated Communication, 11(2), 395-414.
Kelly, R., & Watts, L. (2015). Characterising the inventive appropriation of emoji as relationally meaningful in mediated close personal relationships. Experiences of technology appropriation: Unanticipated users, usage, circumstances, and design, 2.
Kim, S., Lee, J., & Gweon, G. (2019). Comparing data from chatbot and web surveys: Effects of platform and conversational style on survey response quality. Proceedings of the 2019 CHI conference on human factors in computing systems,
Kim, S., & McGill, A. L. (2011). Gaming with Mr. Slot or gaming the slot machine? Power, anthropomorphism, and risk perception. Journal of Consumer Research, 38(1), 94-107.
Kim, Y., & Sundar, S. S. (2012). Anthropomorphism of computers: Is it mindful or mindless? Computers in human behavior, 28(1), 241-250.
Knoll, S., Eisend, M., & Steinhagen, J. (2011). Gender roles in advertising: Measuring and comparing gender stereotyping on public and private TV channels in Germany. International Journal of Advertising, 30(5), 867-888.
Kull, A. J., Romero, M., & Monahan, L. (2021). How may I help you? Driving brand engagement through the warmth of an initial chatbot message. Journal of Business Research, 135, 840-850.
Kumar, V., Ramachandran, D., & Kumar, B. (2021). Influence of new-age technologies on marketing: A research agenda. Journal of Business Research, 125, 864-877.
Laflen, A., & Fiorenza, B. (2012). “Okay, My Rant is Over”: The Language of Emotion in Computer-Mediated Communication. Computers and Composition, 29(4), 296-308.
Laksmidewi, D., Susianto, H., & Afiff, A. Z. (2017). ANTHROPOMORPHISM IN ADVERTISING: THE EFFECT OF ANTHROPOMORPHIC PRODUCT DEMONSTRATION ON CONSUMER PURCHASE INTENTION. Asian Academy of Management Journal, 22(1).
Leanplum. (2018). Un Engagement & Growth With Emojis. http://go.leanplum.com/rs/959-TQV-890/images/Unlocking_Engagement_and_Growth_With_Emojis.pdf?_ga=2.30476604.2087462333.1531843959-256163564.1531843959
LeCompte, T., & Chen, J. (2017). Sentiment analysis of tweets including emoji data. 2017 International Conference on Computational Science and Computational Intelligence (CSCI),
Lee, C. T., & Hsieh, S. H. (2019). Engaging consumers in mobile instant messaging: the role of cute branded emoticons. Journal of Product & Brand Management.
Lee, J., Park, D. H., & Han, I. (2011). The different effects of online consumer reviews on consumers' purchase intentions depending on trust in online shopping malls: An advertising perspective. Internet research.
Lee, K. M., Peng, W., Jin, S.-A., & Yan, C. (2006). Can robots manifest personality?: An empirical test of personality recognition, social responses, and social presence in human–robot interaction. Journal of communication, 56(4), 754-772.
Lee, S., Lee, N., & Sah, Y. J. (2020). Perceiving a mind in a Chatbot: effect of mind perception and social cues on co-presence, closeness, and intention to use. International Journal of Human–Computer Interaction, 36(10), 930-940.
Lee, V., & Wagner, H. (2002). The effect of social presence on the facial and verbal expression of emotion and the interrelationships among emotion components. Journal of Nonverbal Behavior, 26(1), 3-25.
Lerner, R. M., & Shea, J. A. (1982). Social behavior in adolescence. Handbook of developmental psychology, 503-525.
Leslie, S.-J., Cimpian, A., Meyer, M., & Freeland, E. (2015). Expectations of brilliance underlie gender distributions across academic disciplines. Science, 347(6219), 262-265.
Lewontin, R. C. (1983). Gene, organism and environment. Evolution from molecules to men, 273, 285.
Li, M., & Mao, J. (2015). Hedonic or utilitarian? Exploring the impact of communication style alignment on user's perception of virtual health advisory services. International Journal of Information Management, 35(2), 229-243.
Li, X., Chan, K. W., & Kim, S. (2019). Service with emoticons: How customers interpret employee use of emoticons in online service encounters. Journal of Consumer Research, 45(5), 973-987.
Li, X., & Sung, Y. (2021). Anthropomorphism brings us closer: The mediating role of psychological distance in User–AI assistant interactions. Computers in human behavior, 118, 106680.
Liebrecht, C., Sander, L., & Van Hooijdonk, C. (2020). Too informal? How a chatbot’s communication style affects brand attitude and quality of interaction. International Workshop on Chatbot Research and Design,
Lippmann, W. (1922). Stereotypes.
Liu, B., & Sundar, S. S. (2018). Should machines express sympathy and empathy? Experiments with a health advice chatbot. Cyberpsychology, Behavior, and Social Networking, 21(10), 625-636.
Liu, C., Fang, F., Lin, X., Cai, T., Tan, X., Liu, J., & Lu, X. (2021). Improving sentiment analysis accuracy with emoji embedding. Journal of Safety Science and Resilience.
LivePerson. (2021). Conversational AI is brilliant for business: 2021 Consumer Preferences Survey. https://www.liveperson.com/resources-reports/2021-conversational-commerce
Lo, S.-K. (2008). The nonverbal communication functions of emoticons in computer-mediated communication. Cyberpsychology & behavior, 11(5), 595-597.
Lohmann, K., Pyka, S. S., & Zanger, C. (2017). The effects of smileys on receivers’ emotions. Journal of Consumer Marketing.
Lu, B., Fan, W., & Zhou, M. (2016). Social presence, trust, and social commerce purchase intention: An empirical research. Computers in human behavior, 56, 225-237.
Luangrath, A. W., Peck, J., & Barger, V. A. (2017). Textual paralanguage and its implications for marketing communications. Journal of Consumer Psychology, 27(1), 98-107.
Lucas, G. M., Gratch, J., King, A., & Morency, L.-P. (2014). It’s only a computer: Virtual humans increase willingness to disclose. Computers in human behavior, 37, 94-100.
Luo, X., Tong, S., Fang, Z., & Qu, Z. (2019). Frontiers: Machines vs. humans: The impact of artificial intelligence chatbot disclosure on customer purchases. Marketing Science, 38(6), 937-947.
Ma, X. (2016). From Internet memes to emoticon engineering: Insights from the Baozou comic phenomenon in China. International Conference on Human-Computer Interaction,
MacKenzie, S. B., Lutz, R. J., & Belch, G. E. (1986). The role of attitude toward the ad as a mediator of advertising effectiveness: A test of competing explanations. Journal of marketing research, 23(2), 130-143.
Madon, S., Guyll, M., Aboufadel, K., Montiel, E., Smith, A., Palumbo, P., & Jussim, L. (2001). Ethnic and national stereotypes: The Princeton trilogy revisited and revised. Personality and social psychology bulletin, 27(8), 996-1010.
Manganari, E. E., & Dimara, E. (2017). Enhancing the impact of online hotel reviews through the use of emoticons. Behaviour & Information Technology, 36(7), 674-686.
ManyChat. (2021). The 15 Best Chatbot Examples in 2021. https://manychat.com/blog/chatbot-examples/#emirates-vacations-chatbot-example
Margolis, M. F. (2016). Cognitive dissonance, elections, and religion: How partisanship and the political landscape shape religious behaviors. Public Opinion Quarterly, 80(3), 717-740.
May, F., & Monga, A. (2014). When time has a will of its own, the powerless don't have the will to wait: Anthropomorphism of time can decrease patience. Journal of Consumer Research, 40(5), 924-942.
McArthur, T., Lam-McArthur, J., & Fontaine, L. (2018). Oxford companion to the English language. Oxford University Press.
McDonnell, M., & Baxter, D. (2019). Chatbots and gender stereotyping. Interacting with computers, 31(2), 116-121.
Mimoun, M. S. B., Poncin, I., & Garnier, M. (2017). Animated conversational agents and e-consumer productivity: The roles of agents and individual characteristics. Information & Management, 54(5), 545-559.
Miranda, S. M., & Saunders, C. S. (2003). The social construction of meaning: An alternative perspective on information sharing. Information systems research, 14(1), 87-106.
Mockel, P., & Makala, B. (2019). Artificial Intelligence and 5G Mobile Technology Can Drive Investment Opportunities in Emerging Markets.
Monroy, J., Ruiz-Sarmiento, J.-R., Moreno, F.-A., Melendez-Fernandez, F., Galindo, C., & Gonzalez-Jimenez, J. (2018). A semantic-based gas source localization with a mobile robot combining vision and chemical sensing. Sensors, 18(12), 4174.
Moon, J. H., Kim, E., Choi, S. M., & Sung, Y. (2013). Keep the social in social media: The role of social interaction in avatar-based virtual shopping. Journal of Interactive Advertising, 13(1), 14-26.
Morton, C. R., Williams, S., & Morris, J. (2020). The effects of nostalgia cues in sexual health advertising. Health Marketing Quarterly, 37(3), 207-221.
Moss-Racusin, C. A., Dovidio, J. F., Brescoll, V. L., Graham, M. J., & Handelsman, J. (2012). Science faculty’s subtle gender biases favor male students. Proceedings of the National Academy of Sciences, 109(41), 16474-16479.
Mou, Y., & Xu, K. (2017). The media inequality: Comparing the initial human-human and human-AI social interactions. Computers in human behavior, 72, 432-440.
Nass, C., & Moon, Y. (2000). Machines and mindlessness: Social responses to computers. Journal of social issues, 56(1), 81-103.
Nass, C., Moon, Y., & Green, N. (1997). Are machines gender neutral? Gender‐stereotypic responses to computers with voices. Journal of applied social psychology, 27(10), 864-876.
Ng, M., Coopamootoo, K. P., Toreini, E., Aitken, M., Elliot, K., & van Moorsel, A. (2020). Simulating the effects of social presence on trust, privacy concerns & usage intentions in automated bots for finance. 2020 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW),
Nowak, K. L., & McGloin, R. (2014). The influence of peer reviews on source credibility and purchase intention. Societies, 4(4), 689-705.
Oakley, A. (2016). Sex, gender and society. Routledge.
Orth, U. R., & Holancova, D. (2004). Men's and women's responses to sex role portrayals in advertisements. International Journal of Research in Marketing, 21(1), 77-88.
Osei-Frimpong, K., & McLean, G. (2018). Examining online social brand engagement: A social presence theory perspective. Technological Forecasting and Social Change, 128, 10-21.
Paek, H.-J., Nelson, M. R., & Vilela, A. M. (2011). Examination of gender-role portrayals in television advertising across seven countries. Sex roles, 64(3), 192-207.
Park, H., & Lee, H. (2013). Show us you are real: The effect of human-versus-organizational presence on online relationship building through social networking sites. Cyberpsychology, Behavior, and Social Networking, 16(4), 265-271.
Pavlou, P. A., Liang, H., & Xue, Y. (2007). Understanding and mitigating uncertainty in online exchange relationships: A principal-agent perspective. MIS quarterly, 105-136.
Pavone, G., Meyer-Waarden, L., & Munzel, A. (2019). The effect of communication styles on customer attitudes: a comparison of human-chatbot versus human-human interactions. Paper presented at the 48th Annual EMAC Conference,
Pelet, J. É., & Papadopoulou, P. (2013). The effect of E-commerce websites’ colors on customer trust. In Mobile Applications and Knowledge Advancements in E-Business (pp. 167-185). IGI Global.
Peter, C., & Ponzi, M. (2018). The risk of omitting warmth or competence information in ads: Advertising strategies for hedonic and utilitarian brand types. Journal of Advertising Research, 58(4), 423-432.
Petra, K. N., Jasmina, S., Borut, S., Igor, M., & Matjaz, P. (2015). Sentiment of emojis. PloS one, 10, e0144296.
Pinto, V. R. A., Teixeira, C. G., Lima, T. S., Prata, E. R. B. D. A., Vidigal, M. C. T. R., Martins, E., Perrone, Í. T., & de Carvalho, A. F. (2020). Health beliefs towards kefir correlate with emotion and attitude: A study using an emoji scale in Brazil. Food research international, 129, 108833.
Powers, A., & Kiesler, S. (2006). The advisor robot: tracing people's mental model from a robot's physical attributes. Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction,
Prada, M., Rodrigues, D. L., Garrido, M. V., Lopes, D., Cavalheiro, B., & Gaspar, R. (2018). Motives, frequency and attitudes toward emoji and emoticon use. Telematics and Informatics, 35(7), 1925-1934.
Pradhan, D., Duraipandian, I., & Sethi, D. (2016). Celebrity endorsement: How celebrity–brand–user personality congruence affects brand attitude and purchase intention. Journal of Marketing Communications, 22(5), 456-473.
Putrevu, S. (2004). Communicating with the sexes: male and female responses to print advertisements. Journal of Advertising, 33(3), 51-62.
Putrevu, S. (2008). Consumer responses toward sexual and nonsexual appeals: The influence of involvement, need for cognition (NFC), and gender. Journal of Advertising, 37(2), 57-70.
Putrevu, S., & Lord, K. R. (1994). Comparative and noncomparative advertising: Attitudinal effects under cognitive and affective involvement conditions. Journal of Advertising, 23(2), 77-91.
Puzakova, M., Kwak, H., & Rocereto, J. (2009). Pushing the envelope of brand and personality: Antecedents and moderators of anthropomorphized brands. ACR North American Advances.
Reeves, B., & Nass, C. (1996). The media equation: How people treat computers, television, and new media like real people. Cambridge university press Cambridge, United Kingdom.
Rice, R. E., & Case, D. (1983). Electronic message systems in the university: A description of use and utility. Journal of communication.
Richardson, J. C., Maeda, Y., Lv, J., & Caskurlu, S. (2017). Social presence in relation to students' satisfaction and learning in the online environment: A meta-analysis. Computers in human behavior, 71, 402-417.
Riggs, J. M. (1997). Mandates for mothers and fathers: Perceptions of breadwinners and care givers. Sex roles, 37(7), 565-580.
Riordan, M. A. (2017). The communicative role of non-face emojis: Affect and disambiguation. Computers in human behavior, 76, 75-86.
Riordan, M. A., & Kreuz, R. J. (2010). Emotion encoding and interpretation in computer-mediated communication: Reasons for use. Computers in human behavior, 26(6), 1667-1673.
Rodrigues, D., Lopes, D., Prada, M., Thompson, D., & Garrido, M. V. (2017). A frown emoji can be worth a thousand words: Perceptions of emoji use in text messages exchanged between romantic partners. Telematics and Informatics, 34(8), 1532-1543.
Rourke, L., Anderson, T., Garrison, D. R., & Archer, W. (1999). Assessing social presence in asynchronous text-based computer conferencing. The Journal of Distance Education/Revue de l'ducation Distance, 14(2), 50-71.
Roy, R., & Naidoo, V. (2021). Enhancing chatbot effectiveness: The role of anthropomorphic conversational styles and time orientation. Journal of Business Research, 126, 23-34.
Rudman, L. A., Glick, P., & Phelan, J. E. (2008). From the laboratory to the bench: Gender stereotyping research in the courtroom. Beyond common sense: Psychological science in the courtroom, 83-102.
Sakai, N. (2013). The role of sentence closing as an emotional marker: A case of Japanese mobile phone e-mail. Discourse, Context & Media, 2(3), 149-155.
Sands, S., Ferraro, C., Campbell, C., & Tsao, H.-Y. (2020). Managing the human–chatbot divide: how service scripts influence service experience. Journal of Service Management.
Shen, J. (2012). Social comparison, social presence, and enjoyment in the acceptance of social shopping websites. Journal of Electronic Commerce Research, 13(3), 198.
Shen, K. N., Yu, A. Y., & Khalifa, M. (2010). Knowledge contribution in virtual communities: accounting for multiple dimensions of social presence through social identity. Behaviour & Information Technology, 29(4), 337-348.
Short, J., Williams, E., & Christie, B. (1976). The social psychology of telecommunications. Toronto; London; New York: Wiley.
Skalski, P., & Tamborini, R. (2007). The role of social presence in interactive agent-based persuasion. Media psychology, 10(3), 385-413.
Sodikin, M. (2018). Emoticon symbols applied for traffic signs.
Statista. (2021). Customer wait time when using live chat worldwide in 2020, by industry. https://www.statista.com/statistics/818698/customer-wait-time-when-using-live-chat-worldwide-by-industry/
Stroebe, W., & Insko, C. A. (1989). Stereotype, prejudice, and discrimination: Changing conceptions in theory and research. In Stereotyping and prejudice (pp. 3-34). Springer.
Sugiyama, S. (2015). Kawaii meiru and Maroyaka neko: Mobile emoji for relationship maintenance and aesthetic expressions among Japanese teens. First Monday.
Sundar, S. S. (2008). The MAIN model: A heuristic approach to understanding technology effects on credibility. MacArthur Foundation Digital Media and Learning Initiative.
Swan, K. (2003). Developing social presence in online course discussions. In Learning and teaching with technology (pp. 151-168). Routledge.
Swan, K., & Shih, L. F. (2005). On the nature and development of social presence in online course discussions. Journal of Asynchronous learning networks, 9(3), 115-136.
Swim, J. K. (1994). Perceived versus meta-analytic effect sizes: An assessment of the accuracy of gender stereotypes. Journal of personality and social psychology, 66(1), 21.
Tajfel, H. (1969). Cognitive aspects of prejudice. Journal of biosocial science, 1(S1), 173-191.
Tam, K.-P., Lee, S.-L., & Chao, M. M. (2013). Saving Mr. Nature: Anthropomorphism enhances connectedness to and protectiveness toward nature. Journal of Experimental Social Psychology, 49(3), 514-521.
Tanford, S., & Montgomery, R. (2015). The effects of social influence and cognitive dissonance on travel purchase decisions. Journal of Travel Research, 54(5), 596-610.
Tannen, D. (2005). Conversational style: Analyzing talk among friends. Oxford University Press.
Tariq, M. I., Nawaz, M. R., Nawaz, M. M., & Butt, H. A. (2013). Customer perceptions about branding and purchase intention: a study of FMCG in an emerging market. Journal of Basic and Applied Scientific Research, 3(2), 340-347.
Thomas, J. S., & Thomas, S. (2018). Chatbot Using Gated End-to-End Memory Networks. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395, 56.
Toader, D.-C., Boca, G., Toader, R., Măcelaru, M., Toader, C., Ighian, D., & Rădulescu, A. T. (2020). The effect of social presence and chatbot errors on trust. Sustainability, 12(1), 256.
Tractinsky, N., Jarvenpaa, S., Vitale, M., & Saarinen, L. (1999). Consumer Trust in an Internet Store: a cross-cultural validation. Journal of Computer-Mediated Communication, 5(2), 1-5.
Treviño, L. J., Balkin, D. B., & Gomez-Mejia, L. R. (2017). How “doing gender” leads to gender imbalances in the higher ranks in colleges of business [and how to “undo gender”]. Academy of Management Learning & Education, 16(3), 439-453.
Urumutta Hewage, G., Wang, Z., & Liu, Y. (2018). Effects of Facial Asymmetry on Emoji Evaluation and Product Preference. ACR European Advances.
Van den Broeck, E., Zarouali, B., & Poels, K. (2019). Chatbot advertising effectiveness: When does the message get through? Computers in human behavior, 98, 150-157.
Van Dolen, W. M., Dabholkar, P. A., & De Ruyter, K. (2007). Satisfaction with online commercial group chat: the influence of perceived technology attributes, chat group characteristics, and advisor communication style. Journal of retailing, 83(3), 339-358.
Van Doorn, J., Mende, M., Noble, S. M., Hulland, J., Ostrom, A. L., Grewal, D., & Petersen, J. A. (2017). Domo arigato Mr. Roboto: Emergence of automated social presence in organizational frontlines and customers’ service experiences. Journal of service research, 20(1), 43-58.
van Hooijdonk, C. (2021). Chatbots in the tourism industry: the effects of communication style and brand familiarity on social presence and brand attitude. Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization,
Venkatesh, V., & Johnson, P. (2002). Telecommuting technology implementations: a within‐and between‐subjects longitudinal field study. Personnel psychology, 55(3), 661-687.
Verhagen, T., Van Nes, J., Feldberg, F., & Van Dolen, W. (2014). Virtual customer service agents: Using social presence and personalization to shape online service encounters. Journal of Computer-Mediated Communication, 19(3), 529-545.
Voss, K. E., Spangenberg, E. R., & Grohmann, B. (2003). Measuring the hedonic and utilitarian dimensions of consumer attitude. Journal of marketing research, 40(3), 310-320.
Walther, J. B. (1992). Interpersonal effects in computer-mediated interaction: A relational perspective. Communication research, 19(1), 52-90.
Walther, J. B. (2011). Theories of computer-mediated communication and interpersonal relations. The handbook of interpersonal communication, 4, 443-479.
Walther, J. B., & D’addario, K. P. (2001). The impacts of emoticons on message interpretation in computer-mediated communication. Social science computer review, 19(3), 324-347.
Walther, J. B., & Parks, M. R. (2002). Cues filtered out, cues filtered in: Computer-mediated communication and relationships. Handbook of interpersonal communication, 3, 529-563.
Wang, L. C., Baker, J., Wagner, J. A., & Wakefield, K. (2007). Can a retail web site be social? Journal of marketing, 71(3), 143-157.
Whiteman, J. A. M. (2002). Interpersonal Communication in Computer Mediated Learning.
Wiener, M., & Mehrabian, A. (1968). Language within language: Immediacy, a channel in verbal communication. Ardent Media.
Williams, K. E., Sng, O., & Neuberg, S. L. (2016). Ecology-driven stereotypes override race stereotypes. Proceedings of the National Academy of Sciences, 113(2), 310-315.
Wirtz, J., Patterson, P. G., Kunz, W. H., Gruber, T., Lu, V. N., Paluch, S., & Martins, A. (2018). Brave new world: service robots in the frontline. Journal of Service Management.
Wojcieszek, K., & Górski, T. (1998). Strategia rozwoju Elektrowni'Rybnik'SA. Energetyka, 8-10.
Wolf, A. (2000). Emotional expression online: Gender differences in emoticon use. Cyberpsychology & behavior, 3(5), 827-833.
Wölfl, S., Feste, J. M., & Peters, L. D. K. (2019). Is Somebody There? Anthropomorphic Website Design and Intention to Purchase from Online Stores.
Xu, K., & Lombard, M. (2017). Persuasive computing: Feeling peer pressure from multiple computer agents. Computers in human behavior, 74, 152-162.
Ybarra, O., Chan, E., & Park, D. (2001). Young and old adults' concerns about morality and competence. Motivation and Emotion, 25(2), 85-100.
Yee, N., Bailenson, J. N., & Rickertsen, K. (2007). A meta-analysis of the impact of the inclusion and realism of human-like faces on user experiences in interfaces. Proceedings of the SIGCHI conference on Human factors in computing systems,
Yen, C., & Chiang, M.-C. (2020). Trust me, if you can: a study on the factors that influence consumers’ purchase intention triggered by chatbots based on brain image evidence and self-reported assessments. Behaviour & Information Technology, 1-18.
Zarouali, B., Van den Broeck, E., Walrave, M., & Poels, K. (2018). Predicting consumer responses to a chatbot on Facebook. Cyberpsychology, Behavior, and Social Networking, 21(8), 491-497.
Zhang, L., Erickson, L. B., & Webb, H. C. (2011). Effects of “emotional text” on online customer service chat.
Zhou, R., Hentschel, J., & Kumar, N. (2017). Goodbye text, hello emoji: Mobile communication on WeChat in China. Proceedings of the 2017 CHI conference on human factors in computing systems,
Zhou, X., Kim, S., & Wang, L. (2019). Money helps when money feels: Money anthropomorphism increases charitable giving. Journal of Consumer Research, 45(5), 953-972.
Zierau, N., Flock, K., Janson, A., Söllner, M., & Leimeister, J. M. (2021). The Influence of AI-Based Chatbots and Their Design on Users’ Trust and Information Sharing in Online Loan Applications.
Zumstein, D., & Hundertmark, S. (2017). CHATBOTS--AN INTERACTIVE TECHNOLOGY FOR PERSONALIZED COMMUNICATION, TRANSACTIONS AND SERVICES. IADIS International Journal on WWW/Internet, 15(1).
電子全文 Fulltext
本電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。
論文使用權限 Thesis access permission:校內校外完全公開 unrestricted
開放時間 Available:
校內 Campus: 已公開 available
校外 Off-campus: 已公開 available


紙本論文 Printed copies
紙本論文的公開資訊在102學年度以後相對較為完整。如果需要查詢101學年度以前的紙本論文公開資訊,請聯繫圖資處紙本論文服務櫃台。如有不便之處敬請見諒。
開放時間 available 已公開 available

QR Code