DOI QR코드

DOI QR Code

Effects on the continuous use intention of AI-based voice assistant services: Focusing on the interaction between trust in AI and privacy concerns

인공지능 기반 음성비서 서비스의 지속이용 의도에 미치는 영향: 인공지능에 대한 신뢰와 프라이버시 염려의 상호작용을 중심으로

  • Jang, Changki (Public Policy, Seoul National University of Science and Technology ) ;
  • Heo, Deokwon (Graduate School of Public Policy and Information Technology, Seoul National University of Science and Technology) ;
  • Sung, WookJoon (Graduate School of Public Policy and Information Technology, Seoul National University of Science and Technology)
  • Received : 2023.02.01
  • Accepted : 2023.03.02
  • Published : 2023.06.30

Abstract

In research on the use of AI-based voice assistant services, problems related to the user's trust and privacy protection arising from the experience of service use are constantly being raised. The purpose of this study was to investigate empirically the effects of individual trust in AI and online privacy concerns on the continued use of AI-based voice assistants, specifically the impact of their interaction. In this study, question items were constructed based on previous studies, with an online survey conducted among 405 respondents. The effect of the user's trust in AI and privacy concerns on the adoption and continuous use intention of AI-based voice assistant services was analyzed using the Heckman selection model. As the main findings of the study, first, AI-based voice assistant service usage behavior was positively influenced by factors that promote technology acceptance, such as perceived usefulness, perceived ease of use, and social influence. Second, trust in AI had no statistically significant effect on AI-based voice assistant service usage behavior but had a positive effect on continuous use intention. Third, the privacy concern level was confirmed to have the effect of suppressing continuous use intention through interaction with trust in AI. These research results suggest the need to strengthen user experience through user opinion collection and action to improve trust in technology and alleviate users' concerns about privacy as governance for realizing digital government. When introducing artificial intelligence-based policy services, it is necessary to disclose transparently the scope of application of artificial intelligence technology through a public deliberation process, and the development of a system that can track and evaluate privacy issues ex-post and an algorithm that considers privacy protection is required.

AI 기반 음성비서 서비스 이용에 관한 연구에서는 서비스 이용 경험으로 인한 이용자의 신뢰 및 프라이버시 보호와 관련된 문제가 지속적으로 제기되고 있다. 본 연구의 목적은 AI에 대한 개인의 신뢰와 온라인 프라이버시 염려가 AI 기반 음성비서의 지속적인 사용에 미치는 영향, 특히 상호 작용의 영향을 실증적으로 분석하는 것이다. 본 연구에서는 선행연구를 바탕으로 설문문항을 구성하고 응답자 405명을 대상으로 온라인 설문조사를 실시하였다. 인공지능에 대한 사용자의 신뢰와 개인정보보호 관심이 인공지능 기반 음성비서 서비스 도입 및 지속 이용의도에 미치는 영향을 Heckman 선택모형을 이용하여 분석하였다. 연구의 주요 결과로 첫째, 인공지능 기반 음성비서 서비스 이용행태는 기술수용 촉진요인인 지각된 유용성, 지각된 이용편의성, 사회적 영향에 의해 긍정적인 영향을 받았다. 둘째, 인공지능에 대한 신뢰는 인공지능 기반 음성비서 서비스 이용행태에 통계적으로 유의한 영향을 미치지 않았으나 지속 이용의도에는 정(+)의 영향을 미쳤다. 셋째, 프라이버시 염려 수준은 AI에 대한 신뢰와의 상호작용을 통해 지속적인 이용의도를 억제하는 효과(β=-0.153)가 있음을 확인하였다. 이러한 연구 결과는 디지털 정부를 구현하기 위한 거버넌스로서 기술에 대한 신뢰를 높이고 프라이버시에 대한 사용자의 우려를 완화할 수 있는 이용자 의견수렴과 조치를 통한 이용자 경험을 강화할 필요가 있음을 시사한다. 이러한 수단으로서 인공지능 기반의 정책서비스를 도입할 때, 인공지능 기술의 적용 범위를 공론화 과정을 통해 투명하게 공개하고, 프라이버시 문제가 사후적으로 추적 및 평가될 수 있는 제도의 마련과 프라이버시의 보호를 고려한 알고리즘의 개발이 필요하다.

Keywords

Acknowledgement

This work was supported by the online survey program of the "Korea Society of IT Services" and the National Research Foundation of Korea (NRF-2022S1A5B5A17043563).

References

  1. Acikgoz, F. & Perez Vega, R. (2022). "The Role of Privacy Cynicism in Consumer Habits with Voice Assistants: A Technology Acceptance Model Perspective." International Journal of Human-Computer Interaction, 38(12), 1138-1152. https://doi.org/10.1080/10447318.2021.1987677
  2. Aeschlimann, S., Bleiker, M., Wechner, M. & Gampe, A. (2020). "Communicative and social consequences of interactions with voice assistants." Computers in Human Behavior Journal, 112, 106466.
  3. Ajzen, I. (1991). "The Theory of Planned Behavior." Organizational Behavior and Human Decision Processes, 50(2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-T
  4. Batko, R. (2021). "Management and organisation in the age of AI." In A. Elliott (Ed.), The Routledge Social Science Handbook of AI, 157-171. Routledge.
  5. Bawack, R. E., Wamba, S. F. & Carillo, K. D. A. (2021). "A framework for understanding artificial intelligence research: insights from practice." Journal of Enterprise Information Management, 34(2), 645-678. https://doi.org/10.1108/JEIM-07-2020-0284
  6. Bawden, D. (2001). "Information and Digital Literacies: A Review of Concepts." Journal of Documentation, 57(2), 218-259. https://doi.org/10.1108/EUM0000000007083
  7. Bedue, P. & Fritzsche, A. (2022). "Can we trust AI? An empirical investigation of trust requirements and guide to successful AI adoption." Journal of Enterprise Information Management, 35(2), 530-549. https://doi.org/10.1108/JEIM-06-2020-0233
  8. Bitkina, O. V., Jeong, H., Lee, B. C., Park, J., Park, J. & Kim, H. K. (2020). "Perceived trust in artificial intelligence technologies: A preliminary study." Human Factors and Ergonomics in Manufacturing & Service Industries, 30(4), 282-290. https://doi.org/10.1002/hfm.20839
  9. Buteau, E. & Lee, J. (2021). "Hey Alexa, why do we use voice assistants? The driving factors of voice assistant technology use." Communication Research Reports, 38(5), 336-345.
  10. Canziani, B. & Macsween, S. (2021). "Consumer acceptance of voice-activated smart home devices for product information seeking and online ordering." Computers in Human Behavior, 119, 106714.
  11. Chen, Q. Q. & Park, H. J. (2021). "How anthropomorphism affects trust in intelligent personal assistants." Industrial Management and Data Systems, 121(12), 2722-2737. https://doi.org/10.1108/IMDS-12-2020-0761
  12. Chung, D. H. (2017). "User-based Theories and Practices on Virtual Reality." Informatization Policy, 24(1), 3-29.  https://doi.org/10.22693/NIAIP.2017.24.1.003
  13. Crossan, M. M. & Apaydin, M. (2010). "A Multi-Dimensional Framework of Organizational Innovation: A Systematic Review of the Literature." Journal of Management Studies, 47(6), 1154-1191. https://doi.org/10.1111/j.1467-6486.2009.00880.x
  14. Davis, F. D. (1986). "A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results. Massachusetts Institute of Technology." Doctoral Dissertation, Sloan School of Management, Massachusetts Institute of Technology.
  15. Davis, F. D. (1989). "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology." MIS Quarterly, 13(3), 319-339. https://doi.org/10.2307/249008
  16. Davis, F. D., Bagozzi, R. P. & Warshaw, P. R. (1989). "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models." Management Science, 35(8), 982-1003. https://doi.org/10.1287/mnsc.35.8.982
  17. Davis, F. D. & Venkatesh, V. (1996). "A Critical Assessment of Potential Measurement Biases in the Technology Acceptance Model: Three Experiments." International Journal of Human Computer Studies, 45(1), 19-45. https://doi.org/10.1006/ijhc.1996.0040
  18. de Barcelos Silva, A., Gomes, M. M., da Costa, C. A., da Rosa Righi, R., Barbosa, J. L. V., Pessin, G., De Doncker, G. & Federizzi, G. (2020). "Intelligent personal assistants: A systematic literature review." Expert Systems With Applications, 147, 113193.
  19. Easwara Moorthy, A. & Vu, K. P. L. (2015). "Privacy Concerns for Use of Voice Activated Personal Assistant in the Public Space." International Journal of Human-Computer Interaction, 31(4), 307-335. https://doi.org/10.1080/10447318.2014.986642
  20. Ebbers, F., Zibuschka, J., Zimmermann, C. & Hinz, O. (2021). "User preferences for privacy features in digital assistants." Electronic Markets, 31(2), 411-426. https://doi.org/10.1007/s12525-020-00447-y
  21. Epley, N., Waytz, A. & Cacioppo, J. T. (2007). "On Seeing Human: A Three-Factor Theory of Anthropomorphism." Psychological Review, 114(4), 864-886. https://doi.org/10.1037/0033-295X.114.4.864
  22. Etzrodt, K. (2022). "The third party will make a difference - A study on the impact of dyadic and triadic social situations on the relationship with a voice-based personal agent." International Journal of Human Computer Studies, 168.
  23. Fernandes, T. & Oliveira, E. (2021). "Understanding consumers' acceptance of automated technologies in service encounters: Drivers of digital voice assistants adoption." Journal of Business Research, 122, 180-191. https://doi.org/10.1016/j.jbusres.2020.08.058
  24. Gil, D., Hobson, S., Mojsilovic, A., Puri, R. & Smith, J. R. (2020). "AI for Management: An Overview." In Canals J. & Heukamp F.(Eds.), The Future of Management in an AI World: Redefining Purpose and Strategy in the Fourth Industrial Revolution, 3-19. Cham(Switzerland): Palgrave Macmillan.
  25. Gilster, P. (1997). Digital Literacy. New York: Wiley.
  26. Goldenthal, E., Park, J., Liu, S. X., Mieczkowski, H. & Hancock, J. T. (2021). "Not All AI are Equal: Exploring the Accessibility of AI-Mediated Communication Technology." Computers in Human Behavior, 125, 106975.
  27. Han, S. & Yang, H. (2018). "Understanding adoption of intelligent personal assistants: A parasocial relationship perspective." Industrial Management and Data Systems, 118(3), 618-636. https://doi.org/10.1108/IMDS-05-2017-0214
  28. Han, Y. (2021). "A Study on Communication between AI (Artificial Intelligence) Voice Assistant and AI Speaker Users and Services Usage: Focusing on Anthropomorphism Personality, Social Presence, and Personalization." Journal of Communication Science, 21(3), 225-275. 
  29. Heckman, J. J. (1979). "Sample Selection Bias as a Specification Error." Econometrica, 47(1), 153-161. https://doi.org/10.2307/1912352
  30. Hernandez Acosta, L. & Reinhardt, D. (2022). "A survey on privacy issues and solutions for Voice-controlled Digital Assistants." Pervasive and Mobile Computing, 80, 101523.
  31. 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
  32. Hwang, Y., Kim, K., Lee, H. & Lww, W. (2020). "A Cognitive Mapping of Artificial Intelligence Speaker Experience and Latent Privacy Concerns." Journal of Cybercommunication Academic Society, 37(3), 195-231.  https://doi.org/10.36494/JCAS.2020.09.37.3.195
  33. Innes, J. M. & Morrison, B. W. (2021). "Artificial intelligence and psychology." In A. Elliott (Ed.), The Routledge Social Science Handbook of AI, 30-57. Routledge.
  34. Islas-Cota, E., Gutierrez-Garcia, J. O., Acosta, C. O. & Rodriguez, L. F. (2022). "A systematic review of intelligent assistants." Future Generation Computer Systems, 128, 45-62. https://doi.org/10.1016/j.future.2021.09.035
  35. Jang, C. & Sung, W. (2021). "Beyond the Privacy Paradox: The Moderating Effect of Online Privacy Concerns on Online Service Use Behavior." Telematics and Informatics, 65, 101715.
  36. Jang, C. & Sung, W. (2022). "A Study on Policy Acceptance Intention to Use Artificial Intelligence-Based Public Services: Focusing on the Influence of Individual Perception & Digital Literacy Level." Informatization Policy, 29(1), 60-83.  https://doi.org/10.22693/NIAIP.2022.29.1.060
  37. Joint ministries. (2019). "National Strategy for Artificial Intelligence." Sejong: Joint ministries. 
  38. Kang, C. H., Hwang, J. & Lee, K. (2015). "An Exploration on the Baby Boomers' Volunteering Behavior: Comparison of Younger & Older Generations." Korean Journal of Social Welfare Research, 43, 41-71. 
  39. Kang, H. & Park, E. H. (2018). "The Impact of E-government Satisfaction on Trust in Government: Focusing on Exploration of Mediating Variable." Korean Public Administration Quarterly, 30(2), 307-333.  https://doi.org/10.21888/KPAQ.2018.6.30.2.307
  40. Kang, J. (2009). "Presidential Candidate Evaluation and Projection Effect." Social Science Research, 17(2), 6-35. 
  41. Kankanhalli, A., Charalabidis, Y. & Mellouli, S. (2019). "IoT and AI for Smart Government: A Research Agenda." Government Information Quarterly, 36, 304-309. https://doi.org/10.1016/j.giq.2019.02.003
  42. Khatri, C., Venkatesh, A., Hedayatnia, B., Ram, A., Gabriel, R. & Prasad, R. (2018). "Alexa Prize-State of the Art in Conversational AI." AI Magazine, 39(3), 40-55. https://doi.org/10.1609/aimag.v39i3.2810
  43. Kim, B. W. (2016). "Trend Analysis and National Policy for Artificial Intelligence," Informatization Policy, 23(1), 74-93. 
  44. Kim, K. H. (2021). "Artificial Intelligence (AI) Adoption Status and Implications by Major Industry." AI Trend Watch. Chung Buk: Korea Information Society Development Institute. 
  45. Kim, N. & Choi, J. A. (2021). "Effect of user characteristics on artificial intelligence acceptability and intention to use artificial intelligence-based products," Korean Journal of Psychology: General, 40(4), 487-509.  https://doi.org/10.22257/KJP.2021.12.40.4.487
  46. Kim, S. (2021). "Exploring how older adults use a smart speaker-based voice assistant in their first interactions: Qualitative study." JMIR MHealth and UHealth, 9(1).
  47. Kim, S. & Choudhury, A. (2021). "Exploring older adults' perception and use of smart speaker-based voice assistants: A longitudinal study." Computers in Human Behavior, 124, 106914.
  48. Klaus, P. & Zaichkowsky, J. L. (2022). "The convenience of shopping via voice AI: Introducing AIDM." Journal of Retailing and Consumer Services, 65, 102490.
  49. Lee, E. S. & Cha, K. J. (2021). "A Study on the Design Improvement of Digital Government for User-Centered Public Services in Korea." Journal of Information Technology Services, 20(5), 137-146. 
  50. Lee, J. H. & Song, I. H. (2022). "Social Exclusion Factors Affecting Marital Status and Martial Satisfaction of People with Disabilities: Heckman 2 Stage Model Analysis." Journal of Rehabilitation Research, 26(2), 77-103. 
  51. Lee, K. Y., Sheehan, L., Lee, K. & Chang, Y. (2021). "The continuation and recommendation intention of artificial intelligence-based voice assistant systems (AIVAS): the influence of personal traits." Internet Research, 31(5), 1899-1939. https://doi.org/10.1108/INTR-06-2020-0327
  52. Lee, M. J. & Jin, H. J. (2022). "A Study on Factors Influencing the Viewing Intention and Amount of Willingness-to-Pay toward the Classical Music Performance under Pay-What-You-Want Pricing System." Journal of Consumer Studies, 33(5), 49-72.  https://doi.org/10.35736/JCS.33.5.3
  53. Lee, O. K. D., Ayyagari, R., Nasirian, F. & Ahmadian, M. (2021). "Role of interaction quality and trust in use of AI-based voice-assistant systems." Journal of Systems and Information Technology, 23(2), 154-170. https://doi.org/10.1108/JSIT-07-2020-0132
  54. Lee, U. K. (2020). "Accessing the Acceptance of the Speech Recognition Based Virtual Assistant Service: Applying UTAUT Model." Journal of Product Research, 38(5), 111-120. 
  55. Lee, W. K. (2020). "A Study on the Policy Alternatives for the Ethical Use of Artificial Intelligence." The Korea Policy Journal, 20(1), 1-15. 
  56. Lutz, C. & Newlands, G. (2021). "Privacy and smart speakers: A multi-dimensional approach." The Information Society, 37(3), 147-162. https://doi.org/10.1080/01972243.2021.1897914
  57. Mayer, R. C., Davis, J. H. & Schoorman, F. D. (1995). "An Integrative Model of Organizational Trust." The Academy of Management Review, 20(3), 709-734. https://doi.org/10.2307/258792
  58. Mcknight, D. H., Carter, M., Thatcher, J. B. & Clay, P. F. (2011). "Trust in a Specific Technology: An Investigation of Its Components and Measures." ACM Transactions on Management Information Systems (TMIS), 2(2), 1-25.
  59. McKnight, D. H., Choudhury, V. & Kacmar, C. (2002). "The impact of initial consumer trust on intentions to transact with a web site: A trust building model." Journal of Strategic Information Systems, 11(3-4), 297-323.
  60. Mclean, G. & Osei-Frimpong, K. (2019). "Hey Alexa ... examine the variables influencing the use of artificial intelligent in-home voice assistants." Computers in Human Behavior, 99, 28-37. https://doi.org/10.1016/j.chb.2019.05.009
  61. MSIT. (2021). "Significantly strengthen personal information protection in artificial intelligence and data business," Press release, December 9. 
  62. NIA. (2021). 2020 Survey on the Internet Usage. Daegu: National Information Society Agency. 
  63. Pal, D., Arpnikanondt, C., Funilkul, S., & Razzaque, M. A. (2021). "Analyzing the adoption and diffusion of voice-enabled smart-home systems: empirical evidence from Thailand." Universal Access in the Information Society, 20, 797-815. https://doi.org/10.1007/s10209-020-00754-3
  64. Park, D. & Lee, S. M. (2022). "A Study on the Change of User Expectation by Accumulation of Voice Assistant Usage Experience." Journal of Digital Contents Society, 23(7), 1267-1275. 
  65. Park, E. H. (2018). "An Empirical Study on the Factors Influencing Online Citizen Participation." Korean Society and Public Administration, 29(1), 187-210.  https://doi.org/10.53865/KSPA.2018.05.29.1.187
  66. Pitardi, V. & Marriott, H. R. (2021). "Alexa, she's not human but... Unveiling the drivers of consumers' trust in voice-based artificial intelligence." Psychology & Marketing, 38(4), 626-642. https://doi.org/10.1002/mar.21457
  67. Rzepka, C., Berger, B. & Hess, T. (2022). "Voice Assistant vs. Chatbot - Examining the Fit Between Conversational Agents' Interaction Modalities and Information Search Tasks." Information Systems Frontiers, 24, 839-856.
  68. Sanchez-Franco, M. J., Arenas-Marquez, F. J. & Alonso-Dos-Santos, M. (2021). "Using structural topic modelling to predict users' sentiment towards intelligent personal agents. An application for Amazon's echo and Google Home." Journal of Retailing and Consumer Services, 63, 102658.
  69. Shim, H. J. (2018). "Artificial Intelligence (AI) and Privacy Paradox: Focusing on AI Voice Assistants." KISDI Premium Report(18-12). Chungbuk: Korea Information Society Development Institute. 
  70. Shin, Y. J. (2021). "The Improvement Plan for Personal Information Protection for Artificial Intelligence(AI) Service in South Korea." Journal of Convergence for Information Technology, 11(3), 20-33. 
  71. Smith, H. J., Milberg, S. J. & Burke, S. J. (1996). "Information Privacy: Measuring individuals' Concerns about Organizational Practices." MIS Quarterly, 20(2), 167-195.
  72. Stewart, K. A. & Segars, A. H. (2002). "An Empirical Examination of the Concern for Information Privacy Instrument." Information Systems Research, 13(1), 36-49.
  73. Sun, T. Q. & Medaglia, R. (2019). "Mapping the Challenges of Artificial Intelligence in the Public Sector: Evidence from Public Healthcare", Government Information Quarterly, 36(2), 368-383.
  74. Taddeo, M. & Floridi, L. (2018). "How AI can be a Force for Good: An Ethical Framework will Help to Harness the Potential of AI while Keeping Humans in Control." Science, 361(6404), 751-753. https://doi.org/10.1126/science.aat5991
  75. Tucker, J. W. (2010). "Selection Bias and Econometric Remedies in Accounting and Finance Research." Journal of Accounting Literature, 29, 31-57.
  76. van Deursen, A. J. A. M. & van Dijk, J. A. G. M. (2009). "Improving Digital Skills for the Use of Online Public Information and Services." Government Information Quarterly, 26, 333-340.
  77. van Dijk, J. A. G. M. (2006). "Digital Divide Research, Achievements and Shortcomings." Poetics, 34(4), 221-235. https://doi.org/10.1016/j.poetic.2006.05.004
  78. Venkatesh, V., Morris, M. G., Davis, G. B. & Davis, F. D. (2003). "User Acceptance of Information Technology: Toward a Unified View." MIS Quarterly, 27(3), 425-478.
  79. Venkatesh, V., Thong, J. Y. L. & Xu, X. (2012). "Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology." MIS Quarterly, 36(1), 157-178. https://doi.org/10.2307/41410412
  80. Vimalkumar, M., Sharma, S. K., Singh, J. B. & Dwivedi, Y. K. (2021). "'Okay google, what about my privacy?': User's privacy perceptions and acceptance of voice based digital assistants." Computers in Human Behavior, 120, 106763.
  81. Wirtz, J., Patterson, P. G., Kunz, W. H., Gruber, T., Nhat Lu, V., Paluch, S., & Martins, A. (2018). "Brave new world: service robots in the frontline." Journal of Service Management, 29(5), 907-931. https://doi.org/10.1108/JOSM-04-2018-0119
  82. Xie, Y., Chen, K. & Guo, X. (2020). "Online Anthropomorphism and Consumers' Privacy Concern: Moderating Roles of Need for Interaction and Social Exclusion." Journal of Retailing and Consumer Services, 55, 102119.
  83. Yang, H. & Lee, H. (2019). "Understanding user behavior of virtual personal assistant devices." Information Systems and E-Business Management, 17, 65-87. https://doi.org/10.1007/s10257-018-0375-1
  84. You, S. Y. (2002). "A Study of Consumer Attitude, Expenses and Satisfaction Associated with Usage of Cellular Phone." Journal of Consumer Studies, 13(1), 119-138. 
  85. Yun, S., Lee, E. & Sung, W. J. (2018). "Types and Issues of Policy Decision Making Using Artificial Intelligence." Journal of Korean Association for Regional Information Society, 21(1), 31-59. 
  86. Zhao, L., Lu, Y. & Gupta, S. (2012). "Disclosure Intention of Location-related Information in Location-Based Social Network Services." International Journal of Electronic Commerce, 16(4), 53-90. https://doi.org/10.2753/JEC1086-4415160403