DOI QR코드

DOI QR Code

A Study on the Reliability of Voice Payment Interface

음성결제 인터페이스의 신뢰도에 관한 연구

  • 권현정 (연세대학교 문헌정보학과 대학원) ;
  • 이지연 (연세대학교 문헌정보학과)
  • Received : 2021.08.16
  • Accepted : 2021.09.23
  • Published : 2021.09.30

Abstract

As the payment service sector actively embraces artificial intelligence technology, "Voice Payments" is becoming a trend in contactless payment services. Voice payment services can execute payments faster and more intuitively through "voice," the most natural means of communication for humans. In this study, we selected richness, intimacy, and autonomy as factors for building trust with artificial intelligence agents. We wanted to determine whether the trust will be formed if the factors were applied to the voice payment services. The experiment results showed that the higher the richness and autonomy of the voice payment interface and the lower the intimacy, the higher the trust. In addition, the two-way interaction effects of richness and autonomy were significant. We analyzed and synthesized the collected short-answer system to identify users' anxiety when using voice payment services and proposed speech interface design ideas to increase their trust in the voice payment.

인공지능 기술이 결제 서비스 분야에도 적극 도입됨에 따라 말로 하는 결제 서비스 '음성결제(Voice Payments)'가 언택트 결제 서비스의 트렌드로 주목받고 있다. 음성결제 서비스는 인간의 가장 자연스러운 소통 수단인 '목소리'를 통해 결제를 더 빠르고 직관적으로 실행할 수 있는 서비스이다. 본 연구에서는 인공지능 에이전트와의 신뢰 형성을 위한 요인으로 '구체성', '친밀감', '자율성'을 선정하였으며, 각 특성들이 음성결제 상황의 음성 인터페이스에 적용되었을 때 이용자의 신뢰가 형성되는지 알아보고자 하였다. 실험 결과 음성결제 인터페이스의 구체성과 자율성은 높을수록, 친밀감은 낮을수록 신뢰가 높아졌다. 또한 구체성과 자율성의 이원상호작용효과가 유의하였다. 수집된 주관식 답변들을 분석 및 종합하여 이용자들이 음성결제 서비스를 접할 때 느끼는 불안 요인들을 파악하고, 음성결제에 대한 신뢰를 높일 수 있는 음성 인터페이스 디자인 방안들을 제안하였다.

Keywords

Acknowledgement

이 논문은 2019년 대한민국 교육부와 한국연구재단의 지원을 받아 수행된 연구임(NRF-2019S1A5C2A03083499).

References

  1. Ahn, Jae-kwang (2019.01.09). Payment through my voice...Voice Commerce era. Hankyung. Available: https://www.hankyong.com/economy/article/2019010985691
  2. Chen, Hongwei (2020). The Effects of Chatbot Assisted Consulting Service on the Perceived Social Presence and Trust. Master Dissertation, Graduate School of Hankuk University of Foreign Studies.
  3. Cho, Eun-young & Kim, Hee-woong (2015). A study on the promotion of mobile easy payment services in the fintech era. Informatization Policy, 22(4), 22-44. http://doi.org/10.22693/NIAIP.2015.22.4.022
  4. Cho, Jin-ho (2018). An empirical study on relationships between trust, customer satisfaction, and continuous intention of mobile payment service: focusing on the multi-mediated effects of trust, customer satisfaction and the moderating effect of user experience. The Journal of Business and Economics, 34(1), 99-126. http://doi.org/10.22793/indinn.2018.34.1.005
  5. Choi, Jae-ho & Kim, Hoon-tae (2016). A survey study on the utilization status and user perception of the VUI of smartphones. The Journal of Society for e-Business Studies, 21(4), 29-40. http://doi.org/10.7838/jsebs.2016.21.4.029
  6. Choi, Jae-won, Son, Chang-soo, & Lee, Hong-ju (2009). The role of cue-based trust for trust building in e-commerce. The Journal of Society for e-Business Studies, 14(2), 1-22.
  7. Choi, Soo-jung & Kang, Young-sun (2016). Consumers' intentions for the usage of mobile payments: extending UTAUT with innovativeness, trust and network effect. International Telecommunications Policy Review (ITPR), 23(4), 29-52.
  8. Choi, Soo-min (2017). A Study on the Anthropomorphic Elements and Interaction Analysis and Design for Improving Reliability of Artificial Intelligence Commerce Chatbot in Mobile Messenger. Master Dissertation, Graduate School of Hongik University.
  9. Choi, Yoo-jung & Choi, Hoon (2018). The impact of system factors in mobile payment systems on cognitive trust and emotional responses. Journal of the Korea Institute of Information and Communication Engineering, 22(6), 881-887. http://doi.org/10.6109/jkiice.2018.22.6.881
  10. Consumer Insight (2021.03.23) AI Speaker, User↑, Satisfaction↓... The paradox of 'speechless'. Consumer Insight. Available: https://www.consumerinsight.co.kr/voc_view.aspx?no=3170&id=ins02_list
  11. Dashdavaa, Sodbileg, Lee, Ye-ji, & Seol, Won-sik (2019). A study on customer satisfaction of mobile easy payment service: focused on mongolian users. International Business Review, 23(3), 201-225. https://doi.org/10.21739/IBR.2019.09.23.3.201
  12. Ha, Dae-kwon & Sung, Yong-joon (2019). Artificial intelligence recoomendation agent: the mediating effect of psychological reactance and the moderating effect of source credibility. The Korean Journal of Consumer and Advertising Psychology, 20(1), 55-83. http://doi.org/10.21074/kjlcap.2019.20.1.55
  13. Hong, Seung-hye & Choi, Jun-ho (2020). Effect of multimodal agent interface on trust and safety in autonomous driving environment: focusing on the context of non-driving related task and take-over request. Design Convergence Study, 19(2), 3-21. https://doi.org/10.31678/sdc81.1
  14. Hong, Seung-hye (2020). Effect of Multimodal Agent Interface on Trust and Safety in Autonomous Driving Environment: Focusing on the Context of Non-Driving Related Task and Take-Over Request. Master's Dissertation, graduate school of Yonsei University.
  15. Hwang, Ha-sung (2007). Development of social presence measurement of mediated social interaction: a case study of instant messaging. Journal of Communication Science, 7(2), 529-561.
  16. Hwang, Soo-young (2021). Effects of customer-based service attribute and customer satisfaction on trust: mediating effects of customer satisfaction. Korean Journal of Hospitality and Tourism, 30(3), 209-222. https://doi.org/10.24992/KJHT.2021.4.30.03.209
  17. Hwang, Won-il (2008). Design factors influencing the perceived trustworthiness in e-commerce websites. The Journal of Society for e-Business Studies, 13(3), 137-152.
  18. Jang, Man-young (2016). The Impact of Specific Advertising Message on Purchasing Behavior of Customers of Intangible Goods: A Study of Permanent Protection. Doctoral Dissertation, Graduate School of Soongsil University.
  19. Jeon, Myung-geun & Song, Chang-gyu (2019). Analysis of Personal Information Processing and User Protection Scheme in Speech Recognition Based Service. KISA.
  20. Jeong, Hoon-sil (2018). The Quality of Fashion Chatbot and Its Impact on Brand Trust. Doctoral Dissertation, graduate school of Yonsei University.
  21. Jo, Ji-won (2018.04.05) Industry's first AI voice order and payment service. Chosun Biz. Available: https://biz.chosun.com/site/data/html_dir/2018/04/04/201840401537.html
  22. Jung, Gi-seok (2015). A study on activation measures of local mobile easy-to-use payment. Journal of Convergence Security, 46(2), 55-63. http://doi.org/10.5859/KAIS.2008.17.2.027
  23. Kang, Sun-hee (2016). A Study on the User's Acceptance and Use of Easy Payment Service: Focused on the Moderating Effect of Innovation Resistance. Doctoral Dissertation, graduate school of Pukyong National University. http://doi.org/10.29214/damis.2016.35.2.010
  24. Kim, Bo-kyung (2019.05.05). GS Shop, LG U +, launches 'AI Home Shopping' service ordered by words. Yonhap News. Available: https://www.yna.co.kr/view/AKR2 0190505014400030
  25. Kim, Bo-young & Park, Jun-yong (2020). Influence of consumer trust on e-commerce vendor and trust predecessors: Focusing on search and experience goods in China market. Journal of Korea Service Management Society, 21(2), 202-226. http://doi.org/10.15706/jksms.2020.21.2.009
  26. Kim, Hye-sun, Kim, Hyuk, & Kang, Hyun-min (2020). The effects of communication strategy from AI speaker on user experience: focused on richness and congruent effect. Journal of Digital Contents Society, 21(2), 317-326. http://doi.org/10.9728/dcs.2020.21.2.317
  27. Kim, Hyung-ja (2015). Biometric authentication, rapid rise with simple payment method. TTA Journal, 162, 56-57.
  28. Kim, Jae-joong (2019). The Effect of Conversational Interaction Level of Chatbot on System Reliability and Continuous Usage Intention: Focusing on News Subscriptions Chatbot Application. Master Dissertation, Graduate School, Yonsei University.
  29. Kim, Min-hye (2020). UX Research on Improving Trust and Autonomy of Chatbot Service. Master Dissertation, Yonsei University Graduate School of Communication.
  30. Kim, Su-ji, Park, Sung-min, & Kim, Chae-bok (2019). A study on the factors forming the intention to continuously use the easy payment through the expectation-confirmation model. Journal of Korea Service Management Society, 20(2), 185-20. http://doi.org/10.15706/jksms.2019.20.2.009
  31. Kwon, Hyuk-min (2015). A study about message concreteness influencing the effect of corporate social responsibility activities. Korean Academy Of Commodity Science & Technology, 33(1), 1-11. http://doi.org/10.36345/kacst.2015.33.1.001
  32. Lee, Ho-yeon (2018.10.18.) KT, development of 'Ginney Pay', a simple payment for speaker certification. Daily Opinion, Available https://www.dailian.co.kr/news/view/745882/?sc=
  33. Lee, Kwang-gyu (2020). Improvement of domestic mobile payment security problem. The Journal of Korean Institute of Communications and Information Sciences, 45(10), 1720-1727. http://doi.org/10.7840/kics.2020.45.10.1720
  34. Lee, Yu-jin (2018.03.22.) "On a single payment by voice" launches K shopping 'Voice Pay' service. Daily economy, Available: https://www.mk.co.kr/news/business/view/2018/03/186042/
  35. Lee, Yu-mi, Park, Sun-jung, & Seok, Hyun-jung (2018). Applying social strategies for breakdown situations of conversational agents: a case study using forewarning and apology. Science of Emotion & Sensibility, 21(1), 59-70. http://doi.org/10.14695/KJSOS.2018.21.1.59
  36. Lim, Jong-soo, Choi, Jin-ho, & Lee, Hye-min (2020). Measuring the perceived anthropomorphism of an AI conversational agent scale development and validation. Korean Journal of Journalism & Communication Studies, 64(4), 436-470. http://doi.org/10.1148/radiol.2019192025
  37. Moon, Ji-hyun (2018): Voice Interface Age - Platform Revolution promoted by Voice; Mirae Asset Daewo Research. Available: https://img.securities.miraeasset.com/download/financial/V2_05.pdf
  38. Nam, Jeong-gi (2016). A Study on Reuse Intention of the Easy Payment Service. Doctoral Dissertation, Graduate School, Incheon University.
  39. Oh, Seul-young & Jeong, Jin-seop (2017). The effect of negative feedback on time distortion and emotional change by specific kevels. Proceeding of Korean Academy Of International Business Management, 183-211.
  40. Park, Geun-soo (2000). Problem and policy of e-commerce payment system. The Journal of Information Technology, 3(3), 77-88.
  41. Park, Hyun-joon (2017.04.09). (Review) "Please pay" for one word, and the order is 'end'...SK Telecom Smart Speaker 'NUGU'. NewTomato. Available: http://www.newstomato.com/readNews.aspx?no=744988
  42. Park, Joo-yeon (2007). The generation of closeness with interface agent. Korean Journal of Journalism & Communication Studies, 51(2), 334-362.
  43. Park, Sun-young & Lee, Sang-won (2019). A study on the effect of intimacy between conversational agents and users on reliability: focused on self exposure, small talk and anthropomorphism. Journal of Korea Design Forum, 24(3), 55-62. http://doi.org/10.21326/ksdt.2019.24.3.005
  44. Park, Sun-young (2018). A Study on the Effect of Intimacy between Conversational Agents and Users on Reliability: Focused on Self Exposure, Small Talk and Anthropomorphism. Master Dissertation, Graduate School of Yonsei University.
  45. Park, Won-young & Park, Soo-yong (2003). Designing an autonomous and interactive agent architecture. Journal of KIISE, 30(9.10), 955-972.
  46. Seok, Ji-mi & Jeong, Boo-yeon (2014). Mobile Payment Security Trends and Implications. ICT & Media Policy, 26(20), 24-36.
  47. Shim, Hwan-wook & Cho, Ok-kwi (2019). The effect of negative feedback on time distortion and emotional change by specific kevels. Journal of Social Science, 58(2), 157-175. http://doi.org/10.22418/JSS.2019.12.58.2.157
  48. Yang, Seung-ho, Hwang, Yoon-sung, & Park, Jae-ki (2016). A study on the use of fintech payment services based on the UTAUT model. Journal of Management & Economics (MERI), 38(1), 183-209.
  49. Yoo, Young-jae, Yang, Min-young, Lee, Seung-hoon, Baek, Hyung-woo, & Kim, Jin-woo (2019). Dominance of an in-vehicle agent: impact on driver's emotion regulation, situation awareness, and trust. HCI Korea 2021. Proceedings, 38-43.
  50. Yoon, Sung-jun (2000). Factors that influence satisfaction of shoppers who have internet shopping mall experience. The Journal of Information Systems, 29(3), 353-376.
  51. Berscheid, E., Snyder, M., & Omoto, A. M. (1989). The relationship closeness inventory. Journal of Personality and Social Psychology, 57(5), 792-807. http://doi.org/10.1037/0022-3514.57.5.792
  52. Capgemini (2017). How organizations and consumers are embracing voice and chat assistants. Capgemini. Capgemini. Available: http://asq.kr/YiZcoo
  53. Chandra, S., Srivastava, S. C., & Theng, Y. (2010). Evaluating the role of trust in consumer adoption of mobile payment systems: an empirical analysis. Cais, 27(29), 27. http://doi.org/10.17705/1CAIS.02729
  54. Clifford N., Jonathan S., & Ellen R. Tauber (1994). Computers are social actors. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 72-78.
  55. Dan Van Dyke (2017). Soon nearly a third of US consumers will regularly make payments with their voice. Business Insider. Available: https://www.businessinsider.com/the-voice-payments-report-2017-6
  56. David Gefen (2000). E-commerce: the role of familirarity and trust. Omega, 28(6), 725-737. http://doi.org/10.1016/S0305-0483(00)00021-9
  57. Duda, J. L. & Nicholls, J. G. (1992). Dimentions of achievement motivation in schoolwork and sport. Journal of educational Psychology, 84, 290-299. http://doi.org/10.1037/0022-0663.84.3.290
  58. Gunning, D. (2017). Explainable artificial intelligence (xai). Defense Advanced Research Projects Agency (DARPA), 40(2). http://doi.org/10.1016/j.inffus.2019.12.012
  59. Jared, N. (2014.06.17) 도미노 피자 앱 신규 버전에 음성 주문 기능 추가. IT World. 출처: https://www.itworld.co.kr/news/88041
  60. Jessica, L. (2019). Designing a Trustworthy Voice User Interface for Payments and Transactions. Master Dissertation. Department of Computing Science, UMEA University.
  61. Kim, Y., Choi, J., Park, Y., & Yeon, J. (2016). The adoption of mobile payment services for "Fintech". International Journal of Applied Engineering Research, 11, 1058-1061.
  62. Lee, S. Y. & Park, J. (2017). A study on the intention of the use of mobile payment services: application of the technology acceptance model. Korean Management Science Review, 33(2), 65-74. http://doi.org/10.7737/KMSR.2016.33.2.065
  63. Li Lian (2016). 전자상거래에 적용하는 챗봇(Chatbot)의 사회적 실재감, 챗봇에 대한 신뢰와 이용자의 구전의도 및 재이용의도에 관한 연구: 중국 타오바오 쇼핑사이트에 적용하는 챗봇인 '아리샤오미(阿里小蜜)'를 중심으로. 석사학위논문, 서강대학교 대학원.
  64. Liu, C., Marchewka, J. T., Lu J., & Yu C. S. (2004). Beyond concern: a privacy-trust-behavior intention model of electronic commerce. Information and Management, 42, 127-142. http://doi.org/10.1016/j.im.2004.01.003
  65. 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. http://doi.org/10.2307/258792
  66. Mike, G. (2020). How Domino's Pizza Changed the Way Consumers Order Food. respondfast. Available: http://asq.kr/YG3y3k
  67. Moorman, C., Deshpande, R., & Zaltman, G. (1993). Factors affecting trust in market research relationships. Journal of Marketing, 57(1), 81-101. http://doi.org/10.1177/002224299305700106
  68. Naujoks, F., Purucker, C., & Neukum, A. (2016). Secondary task engagement and vehicle automation: comparing the effects of different automation levels in an on-road experiment. Transportation Research Part F: Traffic Psychology and Behaviour, 38, 67-82. http://doi.org/10.1016/j.trf.2016.01.011
  69. Nikou, S. A. & Economides, A. A. (2017). Mobile-based assessment: investigating the factors that influence behavioral intention to use. Computers & Education, 109, 56-73. https://doi.org/10.1016/j.compedu.2017.02.005
  70. Prachi, B. (2018). Most smart speaker owners don't use their devices to shop online, and more than half say it's because of a lack of trust. Available: https://www.businessinsider.com/echo-owners-dont-trust-it-enough-to-make-purchases-charts-2018-5
  71. Reichheld, F. & Schefter, P. (2000). E-Loyalty: Your Secret Weapon on the Web. Harvard Business Review, 78(4), 105-113.
  72. Ruotzu C., & 임소혜. (2020). AI 챗봇 타입과 이용동기에 따른 사용만족도 및 지속사용의도: 자기결정이론을 중심으로. 한국콘텐츠학회논문지, 20(10), 630-640. http://doi.org/10.5392/JKCA.2020.20.10.630
  73. Ryan, R. M., & Deci, E. L. (2002). Overview of self-determination theory: an organis-mic dialectical perspective. New York, NY: The University of Rochester Press.
  74. Ryan, W. (2018). 2018 State of the U.S. Online Retail Economy. Available: https://www.comscore.com/Insights/Presentations-and-Whitepapers/2018/2018-State-of-the-US-Online-Retail-Economy
  75. Tversky, A. & D. J. Koehler. (1994). Support theory: a non-extensional representation of subjective probability. Psychological Review, 101, 547-567. http://doi.org/10.1037/0033-295X.101.4.547
  76. Woods, S., Walters, M., Koay, K. L., & Dautenhahn, K. (2006). Comparing human robot interaction scenarios using live and video based methods: towards a novel methodological approach. 9th IEEE International Workshop on Advanced Motion Control, 750-755. http://doi.org/10.1109/AMC.2006.1631754.
  77. Zhou, T. (2013). An empirical examination of continuance intention of mobile payment services. Decision Support Systems, 54(2), 1085-1091. http://doi.org/10.1016/j.dss.2012.10.034