參考文獻 |
英文文獻
Aaker, J. L. (1997). Dimensions of Brand Personality. SSRN Electronic Journal.
Ahn, T., Ryu, S., & Han, I. (2007). The impact of Web quality and playfulness on user acceptance of online retailing. Information & management, 44(3), 263-275.
Bailey, J. E., & Pearson, S. W. (1983). Development of a tool for measuring and analyzing computer user satisfaction. Management science, 29(5), 530-545.
Bauer, R. A. (1960). Consumer behavior as risk taking. Chicago, IL, 384-398.
Burbach, L., Halbach, P., Plettenberg, N., Nakayama, J., Ziefle, M., & Valdez, A. C. (2019). "Hey, Siri", "Ok, Google", "Alexa". Acceptance-Relevant Factors of Virtual Voice-Assistants. 2019 IEEE International Professional Communication Conference (ProComm).
Cardozo, R. N. (1965). An experimental study of customer effort, expectation, and satisfaction. Journal of marketing research, 2(3), 244-249.
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern methods for business research, 295(2), 295-336.
Chin, W. W., & Newsted, P. R. (1999). Structural equation modeling analysis with small samples using partial least squares. Statistical strategies for small sample research, 1(1), 307-341.
Chung, H., Iorga, M., Voas, J., & Lee, S. (2017). “Alexa, Can I Trust You?” Computer, 50(9), 100–104.
Cote, J. A., & Buckley, M. R. (1988). Measurement error and theory testing in consumer research: An illustration of the importance of construct validation. Journal of Consumer Research, 14(4), 579-582.
Crampton, S. M., & Wagner III, J. A. (1994). Percept-percept inflation in microorganizational research: An investigation of prevalence and effect. Journal of applied psychology, 79(1), 67.
Dasgupta, R. (2018). Voice User Interface Design Moving from Gui to Mixed Modal Interaction. New York: Apress.
Davis, F. D. (1985). A Technology Acceptance Model for Empirically Testing New End-User Information Systems.
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace 1. Journal of applied social psychology, 22(14), 1111-1132.
Davison, A. C., & Hinkley, D. V. (1997). Bootstrap methods and their application (Vol. 1). Cambridge university press.
Deutsch, M. (1962). Cooperation and trust: Some theoretical notes. In M. R. Jones (Ed.), Nebraska Symposium on Motivation, 1962 (p. 275–320). Univer. Nebraska Press.
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.
Dirks, K. T. (1999). The effects of interpersonal trust on work group performance. Journal of Applied Psychology, 84(3), 445–455.
Dwyer, C., Hiltz, S., & Passerini, K. (2007). Trust and privacy concern within social networking sites: A comparison of Facebook and MySpace. AMCIS 2007 proceedings, 339.
Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: a perceived risk facets perspective. International journal of human-computer studies, 59(4), 451-474.
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of marketing research, 382-388.
Funder, David Charles. The Personality Puzzle. W. W. Norton & Company, 2019.
Garcia, D. M. P., Lopez, S. S., & Donis, H. (2018). Everybody is talking about Virtual Assistants, but how are people really using them?
Garcia, D. M. P., Lopez, S. S., & Donis, H. (2018). Voice Activated Virtual Assistants Personality Perceptions and Desires: Comparing Personality Evaluation Frameworks.
Garcia, M. P., & Lopez, S. S. (2018). Building Trust Between Users and Telecommunications Data Driven Virtual Assistants. IFIP Advances in Information and Communication Technology Artificial Intelligence Applications and Innovations, 628–637.
Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Sage publications.
Hair, J. F., Anderson, R. E., Babin, B. J., & Black, W. C. (2010). Multivariate data analysis: A global perspective (Vol. 7).
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice, 19(2), 139-152.
Hansen, J. M., Saridakis, G., & Benson, V. (2018). Risk, trust, and the interaction of perceived ease of use and behavioral control in predicting consumers’ use of social media for transactions. Computers in Human Behavior, 80, 197–206.
Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: updated guidelines. Industrial management & data systems, 116(10), 2-20
Henseler, J., Ringle, C. M., & Sarstedt, M. (2012). Using partial least squares path modeling in advertising research: basic concepts and recent issues. In Handbook of research on international advertising. Edward Elgar Publishing.
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.
Hui, B. S., & Wold, H. (1982). Consistency and consistency at large of partial least squares estimates. Systems under indirect observation, part II, 119-130.
Ives, B., Olson, M. H., & Baroudi, J. J. (1983). The measurement of user information satisfaction. Communications of the ACM, 26(10), 785-793.
Jacoby, J., & Kaplan, L. B. (1972). The components of perceived risk. ACR Special Volumes.
Joreskog, K. G. (1982). The ML and PLS techniques for modeling with latent variables: historical and comparative aspects. Systems under indirect observation, part I, 263-270.
Kinsella, B. & Mutchler, A. (2018). Voice Assistant Consumer Adoption Report 2018. Washington, DC: Voicebot.ai.
Lee, M. C. (2009). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic commerce research and applications, 8(3), 130-141.
Lee, M. K., Cheung, C. M., & Chen, Z. (2005). Acceptance of Internet-based learning medium: the role of extrinsic and intrinsic motivation. Information & management, 42(8), 1095-1104.
Lee, Y. W., Strong, D. M., Kahn, B. K., & Wang, R. Y. (2002). AIMQ: a methodology for information quality assessment. Information & management, 40(2), 133-146.
Lewis, J. R., & Hardzinski, M. L. (2015). Investigating the psychometric properties of the Speech User Interface Service Quality questionnaire. International Journal of Speech Technology, 18(3), 479-487.
McKay, E. (2017) Delightful user experience: How to design UIs that are polite and forgiving, and have a great personality. Conference Interaction South America, Floripa, Brazil, November 9-11 2017.
Metzger, M. J. (2004). Privacy, trust, and disclosure: Exploring barriers to electronic commerce. Journal of computer-mediated communication, 9(4), JCMC942.
Nelson, R. R., Todd, P. A., & Wixom, B. H. (2005). Antecedents of information and system quality: an empirical examination within the context of data warehousing. Journal of management information systems, 21(4), 199-235.
Nguyen, Q. N., Ta, A., & Prybutok, V. (2018). An Integrated Model of Voice-User Interface Continuance Intention: The Gender Effect. International Journal of Human–Computer Interaction, 35(15), 1362–1377.
Normark, C. J. (2015). Design and Evaluation of a Touch-Based Personalizable In-Vehicle User Interface. International Journal of Human-Computer Interaction, 31(11), 731–745.
Nunnally, J. C., & Bernstein, I. H. (1994). Psychological theory.
Podsakoff, P. M., & Organ, D. W. (1986). Self-reports in organizational research: Problems and prospects. Journal of management, 12(4), 531-544.
Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of applied psychology, 88(5), 879.
Reilly, W. (1996) Believable Social and Emotional Agents (PhD Thesis). School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania.
Reinartz, W., Haenlein, M., & Henseler, J. (2009). An empirical comparison of the efficacy of covariance-based and variance-based SEM. International Journal of research in Marketing, 26(4), 332-344.
Saarinen, T. (1996). An expanded instrument for evaluating information system success. Information & management, 31(2), 103-118.
Scherer, K. R. (1978). Personality inference from voice quality: The loud voice of extroversion. European Journal of Social Psychology, 8(4), 467–487.
Taylor, S., & Todd, P. A. (1995). Understanding Information Technology Usage: A Test of Competing Models. Information Systems Research, 6(2), 144–176.
The DeLone and McLean Model of Information Systems Success: A Ten-Year Update. (2003). Journal of Management Information Systems, 19(4), 9–30.
Tulshan, A. S., & Dhage, S. N. (2019). Survey on Virtual Assistant: Google Assistant, Siri, Cortana, Alexa. Communications in Computer and Information Science Advances in Signal Processing and Intelligent Recognition Systems, 190–201.
Van der Heijden, H. (2004). User acceptance of hedonic information systems. MIS quarterly, 695-704.
Vance, A., Elie-Dit-Cosaque, C., & Straub, D. W. (2008). Examining Trust in Information Technology Artifacts: The Effects of System Quality and Culture. Journal of Management Information Systems, 24(4), 73–100.
Wang, J., & Wang, X. (2012). Structural equation modeling: Methods and applications. Wiley.
Wang, R. Y., & Strong, D. M. (1996). Beyond accuracy: What data quality means to data consumers. Journal of management information systems, 12(4), 5-33.
Wixom, B. H., & Todd, P. A. (2005). A Theoretical Integration of User Satisfaction and Technology Acceptance. Information Systems Research, 16(1), 85–102.
Xu, H., & Gupta, S. (2009). The effects of privacy concerns and personal innovativeness on potential and experienced customers’ adoption of location-based services. Electronic Markets, 19(2-3), 137-149.
Xu, J., Benbasat, I., & Cenfetelli, R. T. (2013). Integrating service quality with system and information quality: an empirical test in the e-service context. MIS quarterly, 777-794.
Yang, X., Aurisicchio, M., & Baxter, W. (2019). Understanding Affective Experiences with Conversational Agents. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems - CHI 19.
中文文獻
湯家偉(2016)。結構方程模式:偏最小平方法PLS-SEM。台北市:高等教育。
網路文獻
Griffin, A. (2017). Google is quietly recording everything you say. Here′s how to hear it. Retrieved March 3, 2020, from https://www.independent.co.uk/life-style/gadgets-and-tech/news/google-voice-search-records-stores-conversation-people-have-around-their-phones-but-files-can-be-a7059376.html
Johnson, K. (2017). People, not tech companies, should pick their AI assistant′s personality. Retrieved March 3, 2020, from https://venturebeat.com/2017/10/02/tech-giants-should-let-people-pick-their-ai-assistants-personality
Olmstead, K. (2017). Nearly half of Americans use digital voice assis- tants, mostly on their smartphones. Retrieved March 3, 2020, from https://www.pewresearch.org/fact-tank/2017/12/12/nearly-half-of-americans-use-digital-voice-assistants-mostly-on-their-smartphones/
Siegel, B., & Siegel, B. (2016). How voice recognition will affect privacy in the Internet of Things. Retrieved March 3, 2020, from https://www.csoonline.com/article/3140633/how-voice-recognition-will-affect-privacy-and-the-internet-of-things.html
科技新報 (2019)。微軟為什麼要「殺死」Cortana?。2020年3月20日,取自https://technews.tw/2019/12/27/why-microsoft-kill-cortana/。 |