Do people intend to use AI Voice Assistants? An empirical study in Vietnam

References

• Appel, J., Pütten, A. V. D., Krämer, N. C., & Gratch, J. (2012). Does humanity matter? Analyzing the importance of social cues and perceived agency of a computer system for the emergence of social reactions during human-computer interaction. Advances in Human-Computer Interaction, 2012. Article 13. https://doi.org/10.1155/2012/324694
   Google Scholar
• Apthorpe, N., Reisman, D., & Feamster, N. (2017). A smart home is no castle: Privacy vulnerabilities of encrypted iot traffic. arXiv preprint arXiv:1705.06805.
   Google Scholar
• 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. https://doi.org/10.1016/j.chb.2018.03.051
   Web of Science ®Google Scholar
• Baylor, A., & Kim, Y. (2003). The role of gender and ethnicity in pedagogical agent perception. Paper presented at the E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, Phoenix, Arizona, USA. Association for the Advancement of Computing in Education (AACE).
   Google Scholar
• Bellur, S., & Sundar, S. S. (2017). Talking health with a machine: How does message interactivity affect attitudes and cognitions? Human Communication Research, 43(1), 25–53. https://doi.org/10.1111/hcre.12094
   Web of Science ®Google Scholar
• 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. https://doi.org/10.1111/j.1468-2958.2008.00322.x
   Web of Science ®Google Scholar
• Bernier, E. P., & Scassellati, B. (2010). The similarity-attraction effect in human-robot interaction. Paper presented at the 2010 IEEE 9th International Conference on Development and Learning, Ann Arbor, MI, USA. IEEE.
   Google Scholar
• Broder, A. (2018). A call to arms: Embrace assistive AI systems! Paper presented at the Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, New York, USA. Association for Computing Machinery.
   Google Scholar
• Callejas, Z., López-Cózar, R., Ábalos, N., & Griol, D. (2011). Affective conversational agents: The role of personality and emotion in spoken interactions. In G. Angelova, R. Calvo & D. Cristea (Eds.), Conversational agents and natural language interaction: Techniques and effective practices (pp. 203–222). IGI Global.
   Google Scholar
• Chopra, S., & Chivukula, S. (2017). My phone assistant should know I am an Indian: Influencing factors for adoption of assistive agents. Paper presented at the Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services, Vienna, Austria. Association for Computing Machinery.
   Google Scholar
• Chuan-Chuan Lin, J., & Lu, H. (2000). Towards an understanding of the behavioural intention to use a web site. International Journal of Information Management, 20(3), 197–208. https://doi.org/10.1016/S0268-4012(00)00005-0
   Web of Science ®Google Scholar
• Chung, H., Iorga, M., Voas, J., & Lee, S. (2017). Alexa, can I trust you? Computer, 50(9), 100–104. https://doi.org/10.1109/MC.2017.3571053
   PubMed Web of Science ®Google Scholar
• Chuttur, M. (2009). Overview of the technology acceptance model: Origins, developments and future directions. Sprouts: Working Papers on Information Systems, 9(37). http://sprouts.aisnet.org/9-37
   Google Scholar
• Clark, M., Dutta, P., & Newman, M. W. (2016). Towards a natural language programming interface for smart homes. Paper presented at the Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct. Heidelberg, Germany. Association for Computing Machinery.
   Google Scholar
• Cortina, J. M. (1993). What is coefficient alpha? An examination of theory and applications. Journal of Applied Psychology, 78(1), 98–104. https://doi.org/10.1037/0021-9010.78.1.98
   Web of Science ®Google Scholar
• Cowan, B. R., Branigan, H. P., Obregón, M., Bugis, E., & Beale, R. (2015). Voice anthropomorphism, interlocutor modelling and alignment effects on syntactic choices in human− computer dialogue. International Journal of Human-Computer Studies, 83, 27–42. https://doi.org/10.1016/j.ijhcs.2015.05.008
   Web of Science ®Google Scholar
• Dabholkar, P. A., & Bagozzi, R. P. (2002). An attitudinal model of technology-based self-service: Moderating effects of consumer traits and situational factors. Journal of the Academy of Marketing Science, 30(3), 184–201. https://doi.org/10.1177/0092070302303001
   Web of Science ®Google Scholar
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
   Web of Science ®Google Scholar
• Davis, F. D. (1993). User acceptance of information technology: System characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies, 38(3), 475–487. https://doi.org/10.1006/imms.1993.1022
   Google Scholar
• de Graaf, M. M. A., & Ben Allouch, S. (2013). Exploring influencing variables for the acceptance of social robots. Robotics and Autonomous Systems, 61(12), 1476–1486. https://doi.org/10.1016/j.robot.2013.07.007
   Web of Science ®Google Scholar
• Enez Darcin, A., Kose, S., Noyan, C. O., Nurmedov, S., Yılmaz, O., & Dilbaz, N. (2016). Smartphone addiction and its relationship with social anxiety and loneliness. Behaviour & Information Technology, 35(7), 520–525. https://doi.org/10.1080/0144929X.2016.1158319
   Web of Science ®Google Scholar
• Epley, N., Waytz, A., & Cacioppo, J. T. (2007). On seeing human: A three-factor theory of anthropomorphism. Psychological Review, 114(4), 864. https://doi.org/10.1037/0033-295X.114.4.864
   PubMed Web of Science ®Google Scholar
• Eyssel, F., De Ruiter, L., Kuchenbrandt, D., Bobinger, S., & Hegel, F. (2012). ‘If you sound like me, you must be more human’: On the interplay of robot and user features on human-robot acceptance and anthropomorphism. Paper presented at the 2012 7th ACM/IEEE International Conference on Human-Robot Interaction (HRI), Boston, MA, USA. IEEE.
   Google Scholar
• Fogg, B. J., Danielson, D., & Cuellar, G. (2007). Motivating, influencing, and persuading users. L. Erlbaum Associates Inc.
   Google Scholar
• Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3), 382–388. https://doi.org/10.2307/3150980
   Web of Science ®Google Scholar
• Fridin, M., & Belokopytov, M. (2014). Acceptance of socially assistive humanoid robot by preschool and elementary school teachers. Computers in Human Behavior, 33(4), 23–31. https://doi.org/10.1016/j.chb.2013.12.016
   Google Scholar
• Gong, L., & Nass, C. (2007). When a talking-face computer agent is half-human and half-humanoid: Human identity and consistency preference. Human Communication Research, 33(2), 163–193. https://doi.org/10.1111/j.1468-2958.2007.00295.x
   Web of Science ®Google Scholar
• Goudey, A., & Bonnin, G. (2016). Must smart objects look human? Study of the impact of anthropomorphism on the acceptance of companion robots. Recherche Et Applications En Marketing (English Edition), 31(2), 2–20. https://doi.org/10.1177/2051570716643961
   Google Scholar
• Heerink, M., Kröse, B., Evers, V., & Wielinga, B. (2009). Influence of social presence on acceptance of an assistive social robot and screen agent by elderly users. Advanced Robotics, 23(14), 1909–1923. https://doi.org/10.1163/016918609X12518783330289
   Web of Science ®Google Scholar
• Heerink, M., Krose, 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. https://doi.org/10.1007/s10055-009-0142-1
   Web of Science ®Google Scholar
• Hess, T. J., Fuller, M. A., & Campbell, D. E. (2009). Designing interfaces with social presence: Using vividness and extraversion to create social recommendation agents. Journal of the Association for Information Systems, 10(12), 1. doi:10.17705/1jais.00216.
   Web of Science ®Google Scholar
• Hirschberg, J., & Manning, C. D. (2015). Advances in natural language processing. Science, 349(6245), 261–266. https://doi.org/10.1126/science.aaa8685
   PubMed Web of Science ®Google Scholar
• Horstmann, A. C., Bock, N., Linhuber, E., Szczuka, J. M., Straßmann, C., Krämer, N. C., & Kjellström, H. (2018). Do a robot’s social skills and its objection discourage interactants from switching the robot off? PloS one, 13(7), e0201581. https://doi.org/10.1371/journal.pone.0201581
   PubMed Web of Science ®Google Scholar
• Hoy, M. B. (2018). Alexa, Siri, Cortana, and more: An introduction to voice assistants. Medical Reference Services Quarterly, 37(1), 81–88. https://doi.org/10.1080/02763869.2018.1404391
   PubMedGoogle Scholar
• Jeffs, M. (2018). Ok google, siri, alexa, cortana; can you tell me some stats on voice search. The Editr Blog. Online; posted 8th-Jan-2018.
   Google Scholar
• Jensen, C., Farnham, S., Drucker, S., & Kollock, P. (2000). The effect of communication modality on cooperation in online environments. Conference on Human Factors in Computing Systems - Proceedings. https://doi.org/10.1145/332040.332478
   Google Scholar
• Kent, M. L., & Taylor, M. (2002). Toward a dialogic theory of public relations. Public Relations Review, 28(1), 21–37. https://doi.org/10.1016/S0363-8111(02)00108-X
   Web of Science ®Google Scholar
• Kiesler, S., Powers, A., Fussell, S., & Torrey, C. (2008). Anthropomorphic interactions with a robot and robot–like agent. Social Cognition - SOC COGNITION, 26(2), 169–181. https://doi.org/10.1521/soco.2008.26.2.169
   Web of Science ®Google Scholar
• Kim, C., Mirusmonov, M., & Lee, I. (2010). An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior, 26(3), 310–322. https://doi.org/10.1016/j.chb.2009.10.013
   Web of Science ®Google Scholar
• Kim, Y., & Sundar, S. S. (2012). Anthropomorphism of computers: Is it mindful or mindless? Computers in Human Behavior, 28(1), 241–250. https://doi.org/10.1016/j.chb.2011.09.006
   Web of Science ®Google Scholar
• Kim, K. J. (2014). Can smartphones be specialists? Effects of specialization in mobile advertising. Telematics and Informatics, 31(4), 640–647. https://doi.org/10.1016/j.tele.2013.12.003
   Web of Science ®Google Scholar
• Kim, K. J. (2016). Interacting socially with the Internet of Things (IoT): Effects of source attribution and specialization in human–IoT interaction. Journal of Computer-Mediated Communication, 21(6), 420–435. https://doi.org/10.1111/jcc4.12177
   Web of Science ®Google Scholar
• Koh, Y. J., & Sundar, S. S. (2010). Heuristic versus systematic processing of specialist versus generalist sources in online media. Human Communication Research, 36(2), 103–124. https://doi.org/10.1111/j.1468-2958.2010.01370.x
   Web of Science ®Google Scholar
• Kopp, S., Gesellensetter, L., Krämer, N. C., & Wachsmuth, I. (2005). A conversational agent as museum guide–design and evaluation of a real-world application. Paper presented at the International workshop on intelligent virtual agents, Kos, Greece. Berlin, Heidelberg: Springer.
   Google Scholar
• Lee, J.-G., Kim, K. J., Lee, S., & Shin, D.-H. (2015). Can autonomous vehicles be safe and trustworthy? Effects of appearance and autonomy of unmanned driving systems. International Journal of Human–Computer Interaction, 31(10), 682–691. https://doi.org/10.1080/10447318.2015.1070547
   Web of Science ®Google Scholar
• Lee, S., & Choi, J. (2017). Enhancing user experience with conversational agent for movie recommendation: Effects of self-disclosure and reciprocity. International Journal of human-computer Studies, 103(C), 95–105. https://doi.org/10.1016/j.ijhcs.2017.02.005
   Google Scholar
• Lester, J. C., Converse, S. A., Kahler, S. E., Barlow, S. T., Stone, B. A., & Bhogal, R. S. (1997). The persona effect: Affective impact of animated pedagogical agents. Paper presented at the Proceedings of the ACM SIGCHI Conference on Human factors in computing systems, Atlanta, Georgia, USA. Association for Computing Machinery. https://doi.org/10.1145/258549.258797
   Google Scholar
• Lindell, M. K., & Whitney, D. J. (2001). Accounting for common method variance in cross-sectional research designs. Journal of Applied Psychology, 86(1), 114–121. https://doi.org/10.1037/0021-9010.86.1.114
   PubMed Web of Science ®Google Scholar
• López, G., Quesada, L., & Guerrero, L. A. (2017). Alexa vs. Siri vs. Cortana vs. Google Assistant: A comparison of speech-based natural user interfaces. Paper presented at the International conference on applied human factors and ergonomics, Los Angeles, California, USA. Cham: Springer.
   Google Scholar
• Lu, B., Fan, W., & Zhou, M. (2016). Social presence, trust, and social commerce purchase intention: An empirical research. Computers in Human Behavior, 56(C), 225–237. https://doi.org/10.1016/j.chb.2015.11.057
   Google Scholar
• Luger, E., & Sellen, A. (2016). “Like Having a Really Bad PA” The Gulf between User Expectation and Experience of Conversational Agents. Paper presented at the Proceedings of the 2016 CHI conference on human factors in computing systems, California, San Jose, USA. Association for Computing Machinery.
   Google Scholar
• Moore, R. K. (2014). Spoken language processing: Time to look outside? Cham: Springer.
   Google Scholar
• Morrissey, K., & Kirakowski, J. (2013). ‘Realness’ in Chatbots: Establishing quantifiable criteria. Berlin, Heidelberg: Springer.
   Google Scholar
• Nass, C., Steuer, J., & Tauber, E. R. (1994). Computers are social actors. Paper presented at the Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Boston, Massachusetts, USA. Association for Computing Machinery. https://doi.org/10.1145/191666.191703
   Google Scholar
• Nowak, K. L., & Biocca, F. (2003). The effect of the agency and anthropomorphism on users’ sense of telepresence, copresence, and social presence in virtual environments. Presence: Teleoperators and Virtual Environments, 12(5), 481–494. doi:10.1162/105474603322761289
   Web of Science ®Google Scholar
• Nowak, K. L. (2004). The influence of anthropomorphism and agency on social judgment in virtual environments. Journal of Computer-Mediated Communication, 9(2). https://doi.org/10.1111/j.1083-6101.2004.tb00284.x
   Google Scholar
• Nowak, K. L., & Rauh, C. (2005). The influence of the avatar on online perceptions of anthropomorphism, androgyny, credibility, homophily, and attraction. Journal of Computer-Mediated Communication, 11(1), 153–178. https://doi.org/10.1111/j.1083-6101.2006.tb00308.x
   Web of Science ®Google Scholar
• Picard, R. W. (2003). Affective computing: Challenges. International Journal of human-computer Studies, 59(1–2), 55–64. https://doi.org/10.1016/S1071-5819(03)00052-1
   Web of Science ®Google Scholar
• Podsakoff, P. M., & Organ, D. W. (1986). Self-Reports in organizational research: problems and prospects. Journal of Management, 12(4), 531–544. https://doi.org/10.1177/014920638601200408
   Web of Science ®Google Scholar
• Purington, A., Taft, J. G., Sannon, S., Bazarova, N. N., & Taylor, S. H. (2017). “Alexa is my new BFF” social roles, user satisfaction, and personification of the Amazon Echo. Paper presented at the Proceedings of the 2017 CHI conference extended abstracts on human factors in computing systems, Colorado, Denver. Association for Computing Machinery.
   Google Scholar
• Qiu, L., & Benbasat, I. (2009). Evaluating anthropomorphic product recommendation agents: A social relationship perspective to designing information systems. Journal of Management Information Systems, 25(4), 145–182. https://doi.org/10.2753/MIS0742-1222250405
   Web of Science ®Google Scholar
• Riek, L. D., Rabinowitch, T.-C., Chakrabarti, B., & Robinson, P. (2009). How anthropomorphism affects empathy toward robots. Paper presented at the Proceedings of the 4th ACM/IEEE international conference on Human robot interaction, California, La Jolla. Association for Computing Machinery.
   Google Scholar
• Schalkwyk, J., Beeferman, D., Beaufays, F., Byrne, B., Chelba, C., Cohen, M., and Strope, B. (2010). “Your word is my command”: Google search by voice: A case study. In A. Neustein (Ed.), Advances in speech recognition (pp. 61–90). Springer.
   Google Scholar
• Seeger, A.-M., Pfeiffer, J., & Heinzl, A. (2017). When do we need a human? Anthropomorphic design and trustworthiness of conversational agents. Paper presented at the Proceedings of the Sixteenth Annual Pre-ICIS Workshop on HCI Research in MIS, AISeL, Seoul, Korea. AISeL.
   Google Scholar
• Seltzer, T., & Mitrook, M. A. (2007). The dialogic potential of weblogs in relationship building. Public Relations Review, 33(2), 227–229. https://doi.org/10.1016/j.pubrev.2007.02.011
   Web of Science ®Google Scholar
• Short, J., Williams, E., & Christie, B. A. (1976). The social psychology of telecommunications. Wiley.
   Google Scholar
• Sundar, S. S., Go, E., Kim, H.-S., & Zhang, B. (2015). Communicating art, virtually! Psychological effects of technological affordances in a virtual museum. International Journal of Human–Computer Interaction, 31(6), 385–401. https://doi.org/10.1080/10447318.2015.1033912
   Web of Science ®Google Scholar
• Sundar, S. S., Bellur, S., Oh, J., Jia, H., & Kim, H.-S. (2016). Theoretical importance of contingency in human-computer interaction: Effects of message interactivity on user engagement. Communication Research, 43(5), 595–625. https://doi.org/10.1177/0093650214534962
   Web of Science ®Google Scholar
• Tadeusiewicz, R. (2010). Speech in human system interaction. Paper presented at the 3rd international conference on human system interaction, Bangalore, India. Association for Computing Machinery.
   Google Scholar
• Tu, C.-H. (2000). An examination of social presence to increase interaction in online classes. Arizona State University. https://www.learntechlib.org/p/119966
   Google Scholar
• 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. https://doi.org/10.1111/jcc4.12066
   Web of Science ®Google Scholar
• Walther, J. B. (1992). Interpersonal effects in computer-mediated interaction: A relational perspective. Communication Research, 19(1), 52–90. https://doi.org/10.1177/009365092019001003
   Web of Science ®Google Scholar
• Waytz, A., Heafner, J., & Epley, N. (2014). The mind in the machine: Anthropomorphism increases trust in an autonomous vehicle. Journal of Experimental Social Psychology, 52, 113–117. https://doi.org/10.1016/j.jesp.2014.01.005
   Web of Science ®Google Scholar
• Whang, C. (2018). Voice shopping: The effect of the consumer-voice assistant parasocial relationship on the consumer’s perception and decision making. University of Minnesota.
   Google Scholar
• Zarmpou, T., Saprikis, V., Markos, A., & Vlachopoulou, M. (2012). Modeling users’ acceptance of mobile services. Electronic Commerce Research, 12(2), 225–248. https://doi.org/10.1007/s10660-012-9092-x
   Web of Science ®Google Scholar