Information Systems Review (경영정보학연구)

The Korea Society of Management Information Systems (한국경영정보학회)
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A Study of the Behavioral Intention on Conversational ChatGPT for Tourism Information Search Service: Focusing on the Role of Cognitive and Affective Trust

ChatGPT, 대화형 인공지능 관광 검색 서비스의 행동의도에 대한 연구: 인지적 신뢰와 정서적 신뢰의 역할을 중심으로

  • Minsung Kim (Smart Tourism Education Platform (STEP), Kyung Hee University) ;
  • Chulmo Koo (Smart Tourism Education Platform (STEP), Kyung Hee University)
  • 김민성 (경희대학교 스마트관광원) ;
  • 구철모 (경희대학교 스마트관광원)
  • Received : 2023.12.08
  • Accepted : 2023.12.30
  • Published : 2024.02.29
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Abstract

This study investigates the antecedents and mechanisms influencing trust and behavioral intentions formation towards new AI chatbots, such as ChatGPT, as travel information searching services. Analyzing the roles of variables such as familiarity, novelty, personal innovativeness, information quality and perceived anthropomorphism, the research elucidates the impact of these factors on users' cognitive and affective trust, ultimately affecting their intention to adopt information and sustain the use of the AI chatbot. Results indicate that perceived familiarity and information quality positively influence both cognitive and affective trust, whereas perceived novelty contributes positively only to cognitive trust. Additionally, the personal innovativeness of new AI chatbot users was found to weaken the effect of familiarity on perceived trust, while the perceived level of anthropomorphism of the chatbot amplified the effects of novelty and familiarity on cognitive trust. These findings underscore the importance of considering factors such as familiarity, personal innovativeness, information quality and anthropomorphism in the design and implementation of AI chatbots, affecting trust and behavioral intention.

이 연구는 여행 정보 검색 서비스로서 ChatGPT와 같은 새로운 AI 챗봇의 신뢰 형성과 행동 의도에 미치는 선행 요소와 메커니즘을 탐구한다. 연구는 익숙함, 참신함, 개인의 혁신성, 정보의 질, 그리고 지각된 의인화 등 다양한 변수들 간의 관계를 분석하여, 이러한 요인들이 사용자의 인지적, 정서적 신뢰와 궁극적으로 정보수용의도, 지속사용의도에 미치는 영향을 규명한다. 결과적으로, 익숙함과 정보의 질은 인지적, 정서적 신뢰 모두에 영향을 미치는 반면 참신함은 인지적 신뢰에만 긍정적으로 기여했다. 더불어, 새로운 AI 챗봇 사용자의 개인적 혁신성은 익숙함과 인지적 신뢰 간의 관계를 약화시키는 한편, 챗봇의 지각된 의인화 수준은 참신함 및 익숙함과 인지적 신뢰 간의 관계를 증폭시키는 것으로 나타났다. 이러한 결과는 AI 챗봇의 디자인과 도입 시 의인화, 정보의 질 익숙함, 개인의 혁신성 등의 측면을 고려하는 중요성을 강조하며, 이를 통해 새로운 AI 챗봇의 여행 정보 검색 서비스로서 신뢰 및 행동의도 형성에 기여할 것으로 기대된다.

Keywords

Acknowledgement

이 논문은 2023년 대한민국 교육부와 한국연구재단의 지원을 받아 수행된 연구임 (NRF-2023S1A5C2A03095253).

References

  1. 유일, 최혁라, "B2C 전자상거래에서 고객신뢰의 영향요인과 구매의도에 대한 신뢰의 매개 역할", 경영정보학 연구, 제13권, 제4호, 2003, pp. 49-72. 
  2. 이지현, 박상아, 서동백, "이용자의 신뢰와 위험인지에 따른 크라우드펀딩(Crowdfunding) 참여의도: 한국과 오스트리아 탐색적 비교 연구", 경영정보학연구, 제22권, 제1호, 2020, pp. 125-146. 
  3. Ahn, T., S. Ryu, and I. Han, The impact of Web quality and playfulness on user acceptance of online retailing", Information & Management, Vol.44, No.3, 2007, pp. 263-275. 
  4. Akdim, K., D. Belanche, and M. Flavian, "Attitudes toward service robots: Analyses of explicit and implicit attitudes based on anthropomorphism and construal level theory", International Journal of Contemporary Hospitality Management, Vol.35, No.8, 2023, pp. 2816-2837. 
  5. Ali, F., B. Yasar, L. Ali, and S. Dogan, "Antecedents and consequences of travelers' trust towards personalized travel recommendations offered by ChatGPT", International Journal of Hospitality Management, Vol.114, 2023, p. 103588 
  6. Araujo, T., "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, Vol.85, 2018, pp. 183-189. 
  7. Banks, J., "A perceived moral agency scale: Development and validation of a metric for humans and social machines", Computers in Human Behavior, Vol.90, 2019, pp. 363-371. 
  8. Baron, R. M. and D. A. Kenny, "The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations", Journal of Personality And Social Psychology, Vol.51, No.6, 1986, p. 1173. 
  9. Bhattacherjee, A., "Understanding information systems continuance: An expectation-confirmation model author(s): Anol Bhattacherjee Source", MIS Quarterly, Vol.25, No.3, 2001, pp. 351-370. 
  10. Bornstein, R. F. and P. R. D'Agostino, "The attribution and discounting of perceptual fluency: Preliminary tests of a perceptual fluency/attributional model of the mere exposure effect", Social Cognition, Vol.12, No.2, 1994, pp. 103-128. 
  11. Chai, J. C. Y., N. K. Malhotra, and F. Alpert, "A two-dimensional model of trust-value-loyalty in service relationships", Journal of Retailing and Consumer Services, Vol.26, 2015, pp. 23-31. 
  12. Chang, H. H., C. S. Fu, and H. T. Jain, "Modifying UTAUT and innovation diffusion theory to reveal online shopping behavior", Information Development, Vol.32, No.5, 2016, pp. 1757-1773 
  13. Chattopadhyay, D. and K. F. MacDorman, "Familiar faces rendered strange: Why inconsistent realism drives characters into the uncanny valley", Journal of Vision, Vol.16, No.11, 2016, pp. 7-7. 
  14. Chen, Q., Y. Lu, Y. Gong, and J. Xiong, "Can AI chatbots help retain customers? Impact of AI service quality on customer loyalty", Internet Research, 2023. 
  15. Cuthbertson, A., "'Google is done': World's most powerful AI chatbot ChatGPT offers human-like alternative to search engines", The Independent, 2022, December 2, Available at: https://www.independent.co.uk/tech/ai-chatbot-chatgpt-google-openai-b2237834.html. 
  16. Fan, H. and R. Lederman, "Online health communities: how do community members build the trust required to adopt information and form close relationships?", European Journal of Information Systems, Vol.27, No.1, 2018, pp. 62-89. 
  17. Fan, H., R. Lederman, S. P. Smith, S. Chang, H. Fan, R. Lederman, and S. P. Smith, "How trust is formed in online health communities: A process perspective", Communications of the Association for Information Systems, Vol.34, 2014, pp. 531-560. 
  18. Fornell, C. and D. F. Larcker, "Evaluating structural equation models with unobservable variables and measurement error", Journal of Marketing Research, Vol.18, No.1, 1981, pp. 39-50. 
  19. Ghazi, K., H. Kattara, I. E. Salem, and M. N. Shaaban, "Benefit-triggered or trust-guided? Investigation of customers' perceptions towards AI-adopting hotels amid and post COVID-19 pandemic", Tourism and Hospitality Research, 2023. 
  20. Google, "가장 유능하고 범용적인 AI 모델 제미나이(Gemini)를 소개합니다", 2023, December 7, Available at: https://korea.googleblog.com/2023/12/blog-post_652.html. 
  21. Guan, J., J. H. Chan, J. Bi, and X. Qi, "Cultural proximity, destination familiarity and tourists' sense of away-from-home(SAFH)", Journal of Destination Marketing & Management, Vol.23, 2022, p. 100670. 
  22. Henseler, J., C. M. Ringle, and M. Sarstedt, "Testing measurement invariance of composites using partial least squares", International Marketing Review, Vol.33, No.3, 2016, pp. 405-431. 
  23. Hirschman, E. C., "Innovativeness, novelty seeking, and consumer creativity", Journal of Consumer Research, Vol.7, No.3, 1980, pp. 283-295. 
  24. Hu, P., Y. Lu, and Y. Gong, "Dual humanness and trust in conversational AI: A person-centered approach", Computers in Human Behavior, Vol.119, 2021, p. 106727. 
  25. Hwang, Y., "An empirical study of online trust and consumer behavior: Cultural orientation, social norms, and personal innovativeness in information technology", ICIS 2005 Proceedings. 69, 2005. 
  26. Iranmanesh, M., M. Ghobakhloo, B. Foroughi, M. Nilashi, and E. Yadegaridehkordi, "Factors influencing attitude and intention to use autonomous vehicles in Vietnam: Findings from PLS-SEM and ANFIS", Information Technology & People, 2023. 
  27. Jackson, M., "Familiar and foreign bodies: A phenomenological exploration of the human-technology interface", Journal of the Royal Anthropological Institute, Vol.8, No.2, 2002, pp. 333-346. 
  28. Jacoby, L. L. and M. Dallas, "On the relationship between autobiographical memory and perceptual learning", Journal of Experimental Psychology: General, Vol.110, No.3, 1981, pp. 306-340. 
  29. Jeong, S. C. and B. J. Choi, "Moderating effects of consumers' personal innovativeness on the adoption and purchase intention of wearable devices", SAGE Open, Vol.12, No.4, 2022, p. 21582440221134798. 
  30. Jiang, G., F. Liu, W. Liu, S. Liu, Y. Chen, and D. Xu, "Effects of information quality on information adoption on social media review platforms: Moderating role of perceived risk", Data Science and Management, Vol.1, No.1, 2021, pp. 13-22. 
  31. Johnson, D. and K. Grayson, "Cognitive and affective trust in service relationships", Journal of Business Research, Vol.58, No.4, 2005, pp. 500-507. 
  32. Kabadayi, S., F. Ali, H. Choi, H. Joosten, and C. Lu, "Smart service experience in hospitality and tourism services: A conceptualization and future research agenda", Journal of Service Management, Vol.30, No.3, 2019, pp. 326-348 
  33. Kang, J. W. and Y. Namkung, "The information quality and source credibility matter in customers' evaluation toward food O2O commerce", International Journal of Hospitality Management, Vol.78, 2019, pp. 189-198 
  34. Kaya, B., E. Behravesh, A. M. Abubakar, O. S. Kaya, and C. Orus, "The moderating role of website familiarity in the relationships between e-service quality, e-satisfaction and e-loyalty", Journal of Internet Commerce, Vol.18, No.4, 2019, pp. 369-394. 
  35. Kelly, S., "Microsoft opens up its AI-powered Bing to all users", CNN Business, 2023, May 4, Available at. https://edition.cnn.com/2023/05/04/tech/microsoft-bing-updates/index.html. 
  36. Kim, S. Y., B. H. Schmitt, and N. M. Thalmann, "Eliza in the uncanny valley: Anthropomorphizing consumer robots increases their perceived warmth but decreases liking", Marketing Letters, Vol.30, No.1, 2019, pp. 1-12. 
  37. Kim, T., "Over the rainbow: How to fly over with ChatGPT in Tourism", Journal of Smart Tourism, Vol.3, No.1, 2023, pp. 41-47. 
  38. Komiak, S. Y. and I. Benbasat, "The effects of personalization and familiarity on trust and adoption of recommendation agents", MIS Quarterly, 2006, pp. 941-960. 
  39. Koufaris, M. and W. Hampton-Sosa, "The development of initial trust in an online company by new customers", Information & Management, Vol.41, No.3, 2004, pp. 377-397. 
  40. Liao, Q. V. and S. S. Sundar, "Designing for responsible trust in AI systems: A communication perspective", In Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency, 2022, pp. 1257-1268. 
  41. Loureiro, S. M. C., F. Ali, and M. Ali, "Symmetric and asymmetric modeling to understand drivers and consequences of hotel chatbot engagement", International Journal of Human-Computer Interaction, 2022, 1-13. 
  42. Loureiro, S. M. C., J. Guerreiro, and I. Tussyadiah, "Artificial intelligence in business: State of the art and future research agenda", Journal of Business Research, Vol.129, 2021, pp. 911-926. 
  43. Masri, N. W., J. J. You, A. Ruangkanjanases, S. C. Chen, and C. I. Pan, "Assessing the effects of information system quality and relationship quality on continuance intention in e-tourism", International Journal of Environmental Research and Public Health, Vol.17, No.1, 2020, p. 174. 
  44. McKinsey, "What is ChatGPT, DALL-E, and generative AI? McKinsey", 2023, January 19, Available at: https://www.mckinsey.com/featured-insights/mckinsey-explainers/what-is-generative-ai. 
  45. Meyer-Waarden, L., G. Pavone, T. Poocharoentou, P. Prayatsup, M. Ratinaud, A. Tison, and S. Torne, "How service quality influences customer acceptance and usage of chatbots?", SMR-Journal of Service Management Research, Vol.4, No.1, 2020, pp. 35-51. 
  46. Moussawi, S., M. Koufaris, and R. Benbunan-Fich, "How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents", Electronic Markets, Vol.31, No.2, 2021, pp. 343-364. 
  47. Mun, N. Y., W. Lee, and C. Jeong, "Traveling from South to North: the relationships between historical nostalgia, novelty seeking, and attitudes to visit North Korea", International Journal of Tourism Sciences, Vol.18, No.3, 2018, pp. 170-191. 
  48. Munnukka, J., K. Talvitie-Lamberg, and D., "Anthropomorphism and social presence in Human-Virtual service assistant interactions: The role of dialog length and attitudes", Computers in Human Behavior, Vol.135, 2022, pp. 107343. 
  49. Murphy, J., U. Gretzel, and J. Pesonen, "Marketing robot services in hospitality and tourism: The role of anthropomorphism", In Future of Tourism Marketing(pp. 16-27), Routledge, 2021. 
  50. Ng, M., K. P. Coopamootoo, E. Toreini, M. Aitken, K. Elliot, and A. van Moorsel, "Simulating the effects of social presence on trust, privacy concerns & usage intentions in automated bots for finance", In 2020 IEEE European symposium on security and privacy workshops(EuroS&PW), IEEE, 2020, pp. 190-199. 
  51. Nghia, H. T., S. O. Olsen, and N. T. M. Trang, "Shopping value, trust, and online shopping wellbeing: A duality approach", Marketing Intelligence and Planning, Vol.38, No.5, 2020, pp. 545-558 
  52. Nguyen, D. M., Y. T. H. Chiu, and H. D. Le, "Determinants of continuance intention towards banks' chatbot services in Vietnam: A necessity for sustainable development", Sustainability, Vol.13, No.14, 2021, p. 7625. 
  53. Nicolescu, L. and M. T. Tudorache, "Human-computer interaction in customer service: The experience with AI chatbots-a systematic literature review", Electronics, Vol.11, No.10, 2022, p. 1579. 
  54. Pillai, R. and B. Sivathanu, "Adoption of AI-based chatbots for hospitality and tourism", International Journal of Contemporary Hospitality Management, Vol.32, No.10, 2020, pp. 3199-3226 
  55. Punyatoya, P., "Effects of cognitive and affective trust on online customer behavior", Marketing Intelligence and Planning, Vol.37, No.1, 2019, pp. 80-96. 
  56. Raymond, J. E., M. J. Fenske, and N. T. Tavassoli, "Selective attention determines emotional responses to novel visual stimuli", Psychological Science, Vol.14, No.6, 2003, pp. 537-542. 
  57. Rouibah, K., P. B. Lowry, and Y. Hwang, "The effects of perceived enjoyment and perceived risks on trust formation and intentions to use online payment systems: New perspectives from an Arab country", Electronic Commerce Research and Applications, Vol.19, 2016, pp. 33-43. 
  58. Ruan, Y. and J. Mezei, "When do AI chatbots lead to higher customer satisfaction than human frontline employees in online shopping assistance? Considering product attribute type", Journal of Retailing and Consumer Services, Vol.68, 2022, p. 103059. 
  59. Senali, M. G., M. Iranmanesh, F. N. Ismail, N. F. A. Rahim, M. Khoshkam, and M. Mirzaei, "Determinants of intention to use e-Wallet: Personal innovativeness and propensity to trust as moderators", International Journal of Human-Computer Interaction, Vol.39, No.12, 2023, pp. 2361-2373. 
  60. Shi, S., Y. Gong, and D. Gursoy, "Antecedents of trust and adoption intention toward artificially intelligent recommendation systems in travel planning: A heuristic-systematic model", Journal of Travel Research, Vol.60, No.8, 2021, pp. 1714-1734. 
  61. Shin, S., J. Kim, E. Lee, Y. Yhee, and C. Koo, "ChatGPT for trip planning: The effect of narrowing down options", Journal of Travel Research, 2023, p. 00472875231214196. 
  62. Snyder, K. A., M. P. Blank, and C. J. Marsolek, "What form of memory underlies novelty preferences?", Psychonomic Bulletin and Review, Vol.15, No.2, 2008, pp. 315-321. 
  63. Sundar, S. S., "The MAIN model: A heuristic approach to understanding technology effects on credibility", Cambridge, MA: MacArthur Foundation Digital Media and Learning Initiative, pp. 73-100, 2008. 
  64. Sung, B., E. J. Vanman, and N. Hartley, "Revisiting(dis) fluency: Metacognitive difficulty as a novelty cue that evokes feeling-of-interest", Psychology & Marketing, Vol.39, No.8, 2022, pp. 1451-1466. 
  65. Tan, S.-M. and T. W. Liew, "Multi-Chatbot or single-chatbot? The effects of m-commerce chatbot interface on source credibility, social presence, trust, and purchase intention", Human Behavior and Emerging Technologies, 2022, pp. 1-14. 
  66. Toyama, M. and Y. Yamada, "The relationships among tourist novelty, familiarity, satisfaction, and destination loyalty: Beyond the novelty-familiarity continuum", International Journal of Marketing Studies, Vol.4, No.6, 2012. 
  67. Tran Xuan, Q., H. T. Truong, and T. Vo Quang, "Omnichannel retailing with brand engagement, trust and loyalty in banking: The moderating role of personal innovativeness", International Journal of Bank Marketing, Vol.41, No.3, 2023, pp. 663-694. 
  68. Trivedi, J. P. and H. Trivedi, "Investigating the factors that make a fashion app successful: The moderating role of personalization", Journal of Internet Commerce, Vol.17, No.2, 2018, pp. 170-187. 
  69. Usher, A. P., "A history of mechanical inventions", Courier Corporation, 1954. 
  70. Wells, J. D., D. E. Campbell, J. S. Valacich, and M. Featherman, "The effect of perceived novelty on the adoption of information technology innovations: A risk/reward perspective", Decision Sciences, Vol.41, No.4, 2010, pp. 813-843. 
  71. Whang, C. and H. Im, "I Like Your Suggestion!" the role of humanlikeness and parasocial relationship on the website versus voice shopper's perception of recommendations", Psychology and Marketing, Vol.38, No.4, 2021, pp. 581-595. 
  72. Xian, X., "Psychological factors in consumer acceptance of artificial intelligence in leisure economy: A structural equation model", Journal of Internet Technology, Vol.22, No.3, 2021, pp. 697-705. 
  73. Zajonc, R. B., "Mere exposure: A gateway to the subliminal", Current Directions in Psychological Science, Vol.10, No.6, 2001, pp. 224-228. 
  74. Zhang, F., S. Sun, C. Liu, and V. Chang, "Consumer innovativeness, product innovation and smart toys", Electronic Commerce Research and Applications, Vol.41, 2020, p. 100974.