DOI QR코드

DOI QR Code

A Study on Policy Acceptance Intention to Use Artificial Intelligence-Based Public Services: Focusing on the Influence of Individual Perception & Digital Literacy Level

인공지능 기반 공공서비스 정책수용 의도에 관한 연구: 개인의 인식과 디지털 리터러시 수준이 미치는 영향을 중심으로

  • Jang, Changki (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 : 2021.10.13
  • Accepted : 2021.11.30
  • Published : 2022.03.31

Abstract

The purpose of this study is to empirically analyze the effect of individual perception of artificial intelligence and the level of digital literacy on the acceptance of artificial intelligence-based public services. For empirical analysis, a research model was set up based on the technology acceptance model and planned behavior theory using survey data of 2017 and analyzed through structural equations. To summarize the results of the analysis, firstly, the positive perception of individuals about artificial intelligence technology plays a role in reinforcing attitudes toward benefits and reducing concerns about public service in which artificial intelligence technology has been introduced. Secondly, the level of digital literacy reinforces both benefits and concerns about artificial intelligence technology, but it was found that the intention to use public services was reinforced through the benefits of artificial intelligence technology perceived by individuals, rather than privacy concerns about artificial intelligence technology. Thirdly, it was confirmed that the perceived benefits of individuals on artificial intelligence technology reinforced the intention to use public civil services, and privacy concerns negatively influenced the intention to use. It was confirmed that the influence of a perceived ease of use and usefulness, as opposed to privacy concerns, further reinforces the intention to use. Both citizens' positive perceptions regarding the accuracy and reliability of information provided through artificial intelligence technology and institutional complementation of responsibility for errors caused by artificial intelligence technology are strengthened, and technical problems related to privacy protection are solved.

본 연구는 인공지능에 관한 개인의 인식과 디지털 정보를 이해하고 활용할 수 있는 디지털 리터러시(Digital Literacy) 수준이 인공지능 기반 공공서비스의 수용에 미치는 영향을 실증적으로 분석하는 것을 목적으로 한다. 실증적 분석을 위해 2017년에 수행된 설문조사 자료를 바탕으로 기술수용모형과 계획된 행동이론에 근거하여 연구모형을 설정하고 구조방정식을 통해 분석하였다. 분석 결과를 요약하면, 첫째, 인공지능 기술에 대한 개인의 긍정적 인식은 인공지능 기술이 도입된 공공민원서비스에 대한 혜택에 대한 태도를 강화하고, 우려는 감소시키는 역할을 한다. 둘째, 디지털 리터러시 수준은 인공지능 기술에 대한 혜택과 우려를 모두 강화하지만, 인공지능 기술에 대한 프라이버시 염려보다는 개인이 인식하는 인공지능 기술의 혜택을 통해 공공민원서비스를 이용할 의도를 강화하는 것으로 나타났다. 셋째, 인공지능 기술에 대한 개인의 지각된 혜택은 공공민원서비스 이용의도를 강화하고, 프라이버시 염려는 이용의도에 부정적 영향이 확인되었다. 특히, 프라이버시 염려보다는 지각된 이용 편의성과 유용성의 영향이 이용의도를 더욱 강화하는 것으로 확인되었다. 이러한 분석 결과는 인공지능 기술을 통해 제공되는 정보의 정확성과 신뢰성에 관한 시민의 긍정적 인식 강화, 인공지능 기술로 인한 오류에 대한 책임 소재에 대한 제도적 보완, 프라이버시 보호와 관련된 기술적 문제 해결의 필요성을 제기한다.

Keywords

Acknowledgement

This study was supported by the Research Program funded by SeoulTech (Seoul National University of Science & Technology).

References

  1. 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
  2. Ajzen, I. & Fishbein, M. (1977). "Attitude-Behavior Relations: A Theoretical Analysis and Review of Empirical Research." Psychological Bulletin, 84(5), 888-918. https://doi.org/10.1037/0033-2909.84.5.888
  3. Anderson, J. C. & Gerbing, D. W. (1988). "Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach." Psychological Bulletin, 103(3), 411-423. https://doi.org/10.1037//0033-2909.103.3.411
  4. Androutsopoulou, A., Karacapilidis, N., Loukis, E. & Charalabidis, Y. (2019). "Transforming the Communication between Citizens and Government through AI-guided Chatbots." Government Information Quarterly, 36, 358-367. https://doi.org/10.1016/j.giq.2018.10.001
  5. Ayoub, K. & Payne, K. (2016). "Strategy in the Age of Artificial Intelligence." Journal of Strategic Studies, 39, 793-819. https://doi.org/10.1080/01402390.2015.1088838
  6. Bagozzi, R. P. & Yi, Y. (1988). "On the Evaluation of Structural Equation Models." Journal of the Academy of Marketing Science, 16(1), 74-94. https://doi.org/10.1007/BF02723327
  7. Bandura, A. (1986). "The Explanatory and Predictive Scope of Self-Efficacy Theory." Journal of Social and Clinical Psychology, 4(3), 359-373. https://doi.org/10.1521/jscp.1986.4.3.359
  8. Barth, T. J. & Arnold, E. (1999). "Artificial Intelligence and Administrative Discretion: Implications for Public Administration." American Review of Public Administration, 29(4), 332-351. https://doi.org/10.1177/02750749922064463
  9. Bawden, D. (2001). "Information and Digital Literacies: A Review of Concepts." Journal of Documentation, 57(2), 218-259. https://doi.org/10.1108/eum0000000007083
  10. Campbell, A. J. (1997). "Relationship Marketing in Consumer Markets: A Comparison of Managerial and Consumer Attitudes about Information Privacy." Journal of Direct Marketing, 11(3), 44-57. https://doi.org/10.1002/(sici)1522-7138(199722)11:3@@<@@44::aid-dir7@@>@@3.0.co;2-x
  11. Choi, Y. H. & Oh, Y. M. (2004). " A Longitydinal Survey of Public Acceptance of Radioactive Waste Disposal site: Case of Wido." Korean Policy Studies Review, 13(1), 297-333.
  12. Culnan, M. J. & Armstrong, P. K. (1999). "Information Privacy Concerns, Procedural Fairness, and Impersonal Trust: An Empirical Investigation." Organization Science, 10(1), 104-115. https://doi.org/10.1287/orsc.10.1.104
  13. 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
  14. 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
  15. 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
  16. de Sousa, W. G., de Melo, E. R. P., De Souza Bermejo, P. H., Sousa Farias, R. A. & Gomes, A. O. (2019). "How and Where is Artificial Intelligence in the Public Sector Going? A Literature Review and Research Agenda." Government Information Quarterly, 36(4), 101392 https://doi.org/10.1016/j.giq.2019.07.004
  17. Easton, D. (1957). "An Approach to the Analysis of Political Systems." World Politics, 9(3), 383-400. https://doi.org/10.2307/2008920
  18. Eshet-Alkalai, Y. (2004). "Digital Literacy: A Conceptual Framework for Survival Skills in the Digital Era." Journal of Educational Multimedia and Hypermedia, 13(1), 93-106.
  19. Eshet-Alkalai, Y. & Chajut, E. (2010). "You Can Teach Old Dogs New Tricks: The Factors That Affect Changes over Time in Digital Literacy." Journal of Information Technology Education: Research, 9(1), 173-181. https://doi.org/10.28945/1186
  20. Fang, Z. (2002). "E-government in Digital Era: Concept, Practice, and Development." The Internet and Management, 10(2), 1-22.
  21. Fazio, R. H. & Zanna, M. P. (1981). "Direct Experience and Attitude-Behavior Consistency." Advances in Experimental Social Psychology, 14, 161-202. https://doi.org/10.1016/S0065-2601(08)60372-X
  22. Fishbein, M. & Ajzen, I. (1974). "Attitudes Towards Objects as Predictors of Single and Multiple Behavioral Criteria." Psychological Review, 81(1), 59-74. https://doi.org/10.1037/h0035872
  23. Fornell, C. & Larcker, D. F. (1981). "Evaluating Structural Equation Models with Unobservable Variables and Measurement Error." Journal of Marketing Research, 18(3), 382-388. https://doi.org/10.2307/3150980
  24. Gil-Garcia, J. R., Zhang, J. & Puron-Cid, G. (2016). "Conceptualizing Smartness in Government: An Integrative and Multi-dimensional View." Government Information Quarterly, 33(3), 524-534. https://doi.org/10.1016/j.giq.2016.03.002
  25. Gilster, P. (1997). Digital Literacy. New Youk: Wiley.
  26. Haenlein, M. & Kaplan, A. (2019). "A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence." California Management Review, 61(4), 5-14. https://doi.org/10.1177/0008125619864925
  27. Jackson, C. M., Chow, S. & Leitch, R. A. (1997). "Toward an Understanding of the Behavioral Intention to Use an Information System." Decision Sciences, 28(2), 357-389. https://doi.org/10.1111/j.1540-5915.1997.tb01315.x
  28. Jang, J. (2016). "The emergence and development trend of AI-based 'ChatBot' service." Issues & Trends, Daegu: National Information Society Agency.
  29. Jung, J. H. (2018). "Chatbot status and future challenges." Issues and Points(No. 1456), Seoul: National Assembly Research Service.
  30. 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
  31. Katzman, N. (1974). "The Impact of Communication Technology: Promises and Prospects." Journal of Communication, 24(4), 47-58. https://doi.org/10.1111/j.1460-2466.1974.tb00407.x
  32. Kim, C., Heo, D., Lee, H. & Sung, W. (2019). "A Study on the Influence of Victimization Experience and Awareness on Cyber Security Behavior - Focusing on Dual Process Theory." Informatization Policy, 26(2), 62-80. https://doi.org/10.22693/NIAIP.2019.26.2.062
  33. Kim, B. & Kim, J. (2019). "Exploring the Future of e-Government in the Era of Intelligent Information Society: Focusing on Analyses of e-Government and ICT Policy Experts' Perceptions in South Korea." Journal of Korean Association for Regional Information Society, 22(3), 57-76. https://doi.org/10.22896/KARIS.2019.22.3.003
  34. Kim, J. & Kim, S. (2015). "A Study on Privacy Paradox from the Behavioral Economics Perspective." Informatization Policy, 22(3), 16-35. https://doi.org/10.22693/NIAIP.2015.22.3.016
  35. Kim, M. (2021). "Status and Implications of Artificial Intelligence in Public and Safety Sector." AI Trend Watch(2021-17), September 15.
  36. Kim, S. & Choi, S. (2019). "The Influence of Digital Literacy on Privacy Concern." Korean Society and Public Administraction, 30(2), 257-284. https://doi.org/10.53865/KSPA.2019.08.30.2.257
  37. Kim, S. (2021). "'What are you doing?' 'Touch'... sexual harassment chat with AI that says it's like a real woman", . January 8.
  38. Kug, K. (2019). "Artificial intelligence technology and application examples by industry." Weekly ICT Trends, 15-27.
  39. Lee, H. (2021). "Even 'artificial intelligence women' are sexually exploited... 'We need a secure algorithm'", . April 27.
  40. Lee, K. & Kim, S. (2021). "Analysis of impediments to AI adoption and diffusion and policy implications." KISDI Premium Report(21-03). Chungbuk: Korea Information Society Development Institute.
  41. Lutz, C. (2019). "Digital Inequalities in the Age of Artificial Intelligence and Big Data." Human Behavior and Emerging Technologies, 1(2), 141-148. https://doi.org/10.1002/hbe2.140
  42. Ministry of the Interior (2016). e-Government 2020 Master Plan. Seoul: Ministry of the Interior.
  43. Ministry of the Interior and Safety (2020a). "Difficult and complex complaint form, just say it and AI automatically fills it out" https://www.mois.go.kr/frt/bbs/type010/commonSelectBoardArticle.do;jsessionid=SQ4uCKlVddBFPQujYuSIxxEq.node10?bbsId=BBSMSTR_000000000008&nttId=75705&bbsTyCode=BBST03&bbsAttrbCode=BBSA03&authFlag=Y&pageIndex=1&searchCnd=&searchWrd=&searchCode1=&searchCode2. (Retrieved on April 27).
  44. Ministry of the Interior and Safety. (2020b). "A definite change, Republic of Korea 2020: Decentralization and innovation, energized and safe Korea (Annual Report 2020)." Sejong: Ministry of the Interior and Safety.
  45. Mok, J. (2017). "Moderating Effect of Knowledge Level on the Risk and Acceptance Relationship: The Case of Korean Nuclear Policy." Korean Policy Studies Review, 26(2), 419-449.
  46. Mueller, R. O. & Hancock, G. R. (2010). "Structural Equation Modeling." In G. R. Hancock & R. O. Mueller (Eds.), The Reviewer's Guide to Quantitative Methods in the Social Sciences. 371-383. New York: Routledge.
  47. Negroponte, N. (1996). Being Digital (2nd ed.). New York: Vintage Books.
  48. Park, J. (2008). "Government Trust and Policy Support: The Case of National Electronic ID Policy." Korean Journal of Public Administration, 46(1), 93-122.
  49. Park, J., Yoon. K. & Min, S. (2019). "Artificial intelligence-based chatbot system technology trend." Korea Information Processing Society Review, 26(2), 39-45.
  50. Park, J. & Shin, J. (2010). "Government Trust, Policy Efficacy, and Policy Support: Residential Area CCTV Policy in Korea." Korean Journal of Public Administration, 48(3), 1-24.
  51. Pavlou, P. A. (2003). "Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model." International Journal of Electronic Commerce, 7(3), 101-134. https://doi.org/10.1080/10864415.2003.11044275
  52. Russell, S. & Norvig, P. (2020). Artificial Intelligence: A Modern Approach (4th ed.). New Jersey: Pearson Education, Inc.
  53. Sabatier, P. A. (1988). "An Advocacy Coalition Framework of Policy Change and the Role of Policy-oriented Learning Therein." Policy Sciences, 21(2), 129-168. https://doi.org/10.1007/BF00136406
  54. Schank, R. C. (1991). "Where's the AI?" AI Magazine, 12(4), 38-49.
  55. Segars, A. H. (1997). "Assessing the Unidimensionality of Measurement: A Paradigm and Illustration within the Context of Information Systems Research." Omega, 25(1), 107-121. https://doi.org/10.1016/S0305-0483(96)00051-5
  56. Seo, K. (2018). "Domestic and international trend analysis and development prospect of AI-based chatbot service." D.gov Trend & Future(2018-2). Daegu: National Information Society Agency.
  57. Sharma, G. D., Yadav, A. & Chopra, R. (2020). "Artificial Intelligence and Effective Governance: A Review, Critique and Research Agenda." Sustainable Futures, 2, 100004. https://doi.org/10.1016/j.sftr.2019.100004
  58. Shih, C. F. & Venkatesh, A. (2004). "Beyond Adoption: Development and Application of a Use-Diffusion Model." Journal of Marketing, 68(1), 59-72. https://doi.org/10.1509/jmkg.68.1.59.24029
  59. Shim, H. (2018). "Artificial Intelligence and Privacy Paradox: Focusing on AI Voice Assistants." KISDI Premium Report(18-12). Chungbuk: Korea Information Society Development Institute.
  60. Smith, H. J., Milberg, S. J. & Burke, S. J. (1996). "Information Privacy: Measuring individuals' Concerns about Organizational Practices." MIS Quarterly, 20(2), 167-195. https://doi.org/10.2307/249477
  61. Stewart, K. A. & Segars, A. H. (2002). "An Empirical Examination of the Concern for Information Privacy Instrument." Information Systems Research, 13(1), 36-49. https://doi.org/10.1287/isre.13.1.36.97
  62. 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. https://doi.org/10.1016/j.giq.2018.09.008
  63. Sung, W. (2013). "A Study on the Acceptance Factors of Smart Work Policy in Korea: Using the User Survey of Smart Work Center." Korean Policy Studies Review, 22(1), 331-360.
  64. Sung, W. (2016a). "A Study of the Digital Divide in the Current Phase of the Information Age: The Moderating Effect of Smartphones." Information Polity, 21(3), 291-306. https://doi.org/10.3233/ip-160398
  65. Sung, W. (2016b). "A Study on the Improvement of Big Data Policy in the Public Sector." Korean Policy Studies Review, 25(2), 125-149.
  66. Sung, W. & Hwang, S. (2017). "A Review of Intelligent Society Studies: A look on the future of AI and policy issues." Informatization Policy, 24(2), 3-19. https://doi.org/10.22693/NIAIP.2017.24.2.003
  67. Van Deursen, A. J. A. M. & Van Dijk, J. A. G. M. (2015). "Toward a Multifaceted Model of Internet Access for Understanding Digital Divides: An Empirical Investigation." The Information Society, 31(5), 379-391. https://doi.org/10.1080/01972243.2015.1069770
  68. 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
  69. 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. https://doi.org/10.2307/30036540
  70. Yun, S. (2003). "A Study on Citizen Participation in E-Government." Korean Policy Science Review, 7(1), 79-103.
  71. Yun, S. (2018). "A Study on Major Issues of Artificial Intelligence-Based Public Service: Focusing on Chatbot Service." Korean Public Management Review, 32(2), 83-104. https://doi.org/10.24210/KAPM.2018.32.2.004
  72. Yun, S., Lee, E. & Sung, W. (2018). "Types and Issues of Policy Decision Making Using Artificial Intelligence." Journal of Korean Associastion for Regional Information Society, 21(1), 31-59.
  73. 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
  74. Zhu, G., Chen, Y. & Zheng, J. (2020). "Modelling the Acceptance of Fully Autonomous Vehicles: A Media-based Perception and Adoption Model." Transportation Research Part F, 73, 80-91. https://doi.org/10.1016/j.trf.2020.06.004