DOI QR코드

DOI QR Code

The Effect of Fashion Shopping Chatbot Characteristics on Service Acceptance Intention -Focusing on Anthropomorphism and Personalization-

패션쇼핑 챗봇 특성이 서비스 수용의도에 미치는 영향 -의인화와 개인화를 중심으로-

  • Jeong, Seul Gi (Dept. of Textiles, Merchandising and Fashion Design, Seoul National University) ;
  • Hur, Hee Jin (Dept. of Fashion Design & Business, Daejeon University) ;
  • Choo, Ho Jung (Dept. of Textiles, Merchandising and Fashion Design, Seoul National University/Research Institute of Human Ecology, Seoul National University)
  • 정슬기 (서울대학교 의류학과) ;
  • 허희진 (대전대학교 패션디자인.비즈니스학과) ;
  • 추호정 (서울대학교 의류학과/서울대학교 생활과학연구소)
  • Received : 2019.08.29
  • Accepted : 2020.03.20
  • Published : 2020.08.31

Abstract

This study analyzes consumers' responses toward chatbot services in a fashion retail context. Anthropomorphism and personalization of chatbots are proposed as critical features of a chatbot service that attract positive behavioral intentions from consumers. Social presence, trust, and enjoyment are expected to mediate associations among chatbot characteristics and consumers' acceptance of the service. The experiment was conducted in a controlled laboratory; participants were instructed to engage with a virtual shopping chatbot service via their cell phone and complete a questionnaire online. A total of 189 participants participated in this study along with and four experimental groups of 2 (anthropomorphism: high / low) × 2 (personalization: high / low) were formed with between-subject design. The collected data were analyzed using SPSS 25.0 and SPSS PROCESS Macro programs. The results show that the effect of anthropomorphism and personalization of chatbots on consumers' service acceptance intention when using fashion shopping chatbot service were mediated sequentially by social presence, trust, social presence and enjoyment. This study provides meaningful evidence on the effects of chatbots characterized by anthropomorphism and personalization on consumer responses, acceptance intention and associated psychological mechanisms by expanding the field of consumer behavior into chatbot services.

Keywords

References

  1. Aragon, S. R. (2003). Creating social presence in online environments. New Directions for Adult & Continuing Education, 2003(100), 57-68. doi:10.1002/ace.119
  2. Bailenson, J. N., Yee, N., Merget, D., & Schroeder, R. (2006). The effect of behavioral realism and form realism of real-time avatar faces on verbal disclosure, nonverbal disclosure, emotion recognition, and copresence in dyadic interaction. Presence:Teleoperators and Virtual Environments, 15(4), 359-372. doi:10.1162/pres.15.4.359
  3. Ball, D., Coelho, P. S., & Vilares, M. J. (2006). Service personalization and loyalty. Journal of Services Marketing, 20(6), 391-403. doi:10.1108/08876040610691284
  4. Bartneck, C. (2006). Reflection on robotic intelligence. Proceedings of the CHI 2006 Workshop on HCI and the Face, Canada. Retrieved from https://www.bartneck.de/publications/2006/reflectionRoboticIntelligence/bartneckCHI2006.pdf
  5. Benlian, A. (2015). Web personalization cues and their differential effects on user assessments of website value. Journal of Management Information Systems, 32(1), 225-260. doi:10.1080/07421222.2015.1029394
  6. Berscheid, E., & Reis, H. T. (1998). Attraction and close relationships. In D. T. Gilbert, S. T. Fiske, & G. Lindzey (Eds.), The handbook of social psychology (4th ed., pp. 193-281). New York, NY: McGraw-Hill.
  7. Biocca, F. (1997). The cyborg's dilemma: Progressive embodiment in virtual environments. Journal of Computer-Mediated Communication, 3(2):JCMC324. doi:10.1111/j.1083-6101.1997.tb00070.x
  8. Biocca, F., Harms, C., & Burgoon, J. K. (2003). Toward a more robust theory and measure of social presence: Review and suggested criteria. Presence: Teleoperators and Virtual Environments, 12(5), 456-480. doi:10.1162/105474603322761270
  9. Biocca, F., & Nowak, K. (2001). Plugging your body into the telecommunication system: Mediated embodiment, media interfaces, and social virtual environments. In C. A. Lin & D. J. Atkin (Eds.), Communication technology and society: Audience adoption and uses (pp. 407-447). Waverly Hill, VI: Hampton Press.
  10. Burgoon, J. K., & Hale, J. L. (1987). Validation and measurement of the fundamental themes of relational communication. Communications Monographs, 54(1), 19-41. doi:10.1080/03637758709390214
  11. Cacioppo, J. T., Hawkley, L. C., Ernst, J. M., Burleson, M., Berntson, G. G., Nouriani, B., & Spiegel, D. (2006). Loneliness within a nomological net: An evolutionary perspective. Journal of Research in Personality, 40(6), 1054-1085. doi:10.1016/j.jrp.2005.11.007
  12. Chung, J. H. (2016, November 30). 챗봇 서비스의 향후 전망과 사회경제적 영향 분석 [Analysis of the future prospects and socioeconomic impacts of the chatbot service] [Insight report]. Electronics and Telecommunications Research Institute. Retrieved from https://library.etri.re.kr/service/rsch/issue-report/down.htm?view=open&id=111
  13. Corritore, C. L., Kracher, B., & Wiedenbeck, S. (2003). On-line trust: concepts, evolving themes, a model. International Journal of Human-Computer Studies, 58(6), 737-758. doi:10.1016/S1071-5819(03)00041-7
  14. DiSalvo C. F., Gemperle F., Forlizzi J., & Kiesler S. (2002). All robots are not created equal: The design and perception of humanoid robot heads. Proceedings of the 4th conference on Designing interactive systems: processes, practices, methods, and techniques, England, 321-326. doi:10.1145/778712.778756
  15. Doney, P. M., & Cannon, J. P. (1997). An examination of the nature of trust in buyer-seller relationships. Journal of Marketing, 61(2), 35-51. doi:10.1177/002224299706100203
  16. Duffy, B. R. (2003). Anthropomorphism and the social robot. Robotics and Autonomous Systems, 42(3-4), 177-190. doi:10.1016/S0921-8890(02)00374-3
  17. Epley, N., Waytz, A., & Cacioppo, J. T. (2007). On seeing human:A three-factor theory of anthropomorphism. Psychological Review, 114(4), 864-886. doi:10.1037/0033-295X.114.4.864
  18. Eroglu, S. A., Machleit, K. A., & Davis, L. M. (2003). Empirical testing of a model of online store atmospherics and shopper responses. Psychology & Marketing, 20(2), 139-150. doi:10.1002/mar.10064
  19. Fortin, D. R., & Dholakia, R. R. (2005). Interactivity and vividness effects on social presence and involvement with a webbased advertisement. Journal of Business Research, 58(3), 387-396. doi:10.1016/S0148-2963(03)00106-1
  20. Gao, W., & Li, X. (2019). Building presence in an online shopping website: the role of website quality. Behaviour & Information Technology, 38(1), 28-41. doi:10.1080/0144929X.2018.1509127
  21. Gefen, D. (2000). E-commerce: the role of familiarity and trust. Omega, 28(6), 725-737. doi:10.1016/S0305-0483(00)00021-9
  22. Gefen, D., & Straub, D. W. (2004). Consumer trust in B2C e-Commerce and the importance of social presence: experiments in e-Products and e-Services. Omega, 32(6), 407-424. doi:10.1016/j.omega.2004.01.006
  23. Gupta, S., Borkar, D., De Mello, C., & Patil, S. (2015). An e-commerce website based chatbot. International Journal of Computer Science and Information Technologies, 6(2), 1483-1485.
  24. Haslam, N. (2006). Dehumanization: An integrative review. Personality and Social Psychology Review, 10(3), 252-264. doi:10.1207/s15327957pspr1003_4
  25. Hassanein, K., & Head, M. (2005). The impact of infusing social presence in the web interface: An investigation across product types. International Journal of Electronic Commerce, 10(2), 31-55. doi:10.2753/JEC1086-4415100202
  26. Hassanein, K., & Head, M. (2007). Manipulating perceived social presence through the web interface and its impact on attitude towards online shopping. International Journal of Human-Computer Studies, 65(8), 689-708. doi:10.1016/j.ijhcs.2006.11.018
  27. Hayes, A. F. (2017). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach (2nd ed.). New York, NY: The Guilford Press.
  28. Ho, S. Y. (2012). The effects of location personalization on individuals' intention to use mobile services. Decision Support Systems, 53(4), 802-812. doi:10.1016/j.dss.2012.05.012
  29. Hwang, H. S., & Park, S. (2008). College student's usage of emoticons in mobile text-based messaging. Media, Gender & Culture, 9, 133-162.
  30. Jarvenpaa, S. L., & Todd, P. A. (1996). Consumer reactions to electronic shopping on the world wide web. International Journal of Electronic Commerce, 1(2), 59-88. doi:10.1080/10864415.1996.11518283
  31. Jarvenpaa, S. L., Tractinsky, N., & Saarinen, L. (1999). Consumer trust in an internet store: a cross-cultural validation. Journal of Computer-Mediated Communication, 5(2):JCMC526. doi:10.1111/j.1083-6101.1999.tb00337.x
  32. Jiang, L., Hoegg, J., & Dahl, D. W. (2011). Seeing smiles: Consumers' adoption of anthropomorphized new product. In D. W. Dahl, G. V. Johar, & S. M. J. van Osselaer (Eds.), NA - Advances in Consumer Research Volume 38 (pp. 157-158). Duluth, MN: Association for Consumer Research.
  33. Kalyanaraman, S., & Sundar, S. S. (2006). The psychological appeal of personalized content in web portals: Does customization affect attitudes and behavior? Journal of Communication, 56(1), 110-132. doi:10.1111/j.1460-2466.2006.00006.x
  34. Karahanna, E., & Limayem, M. (2000). E-mail and v-mail usage:Generalizing across technologies. Journal of Organizational Computing and Electronic Commerce, 10(1), 49-66. doi:10.1207/S15327744JOCE100103
  35. Kehrwald, B. (2008). Understanding social presence in text-based online learning environments. Distance Education, 29(1), 89-106. doi:10.1080/01587910802004860
  36. Kim, B. Y., Lee, Y. J., Lee. S. E., & Lee, Y. J. (2018). 언텍트 마케팅 [Untact marketing]. Excellence Marketing for Customers, 52(3), 61-67.
  37. Kim, C. E., & Lee, J. H. (2018). Trends of big data and artificial intelligence in the fashion industry. Journal of the Korean Society of Clothing and Textiles, 42(1), 148-158. doi:10.5850/JKSCT.2018.42.1.148
  38. Kim, M., Choi, D., Kim, I., Kim, M., Bok. K., & Yoo, J. (2018). Rule generator for chatbot services in smart stores. Proceedings of the Korea Contents Association, Spring Conference, Korea, 363-364.
  39. Kim, S., Lee, I., Lee, K., Choi, G. W., & Kim, J. (2008). A study on the exploration of anthropomorphism during the product usage: Focusing on the cultural difference of mobile phone, MP3 player, TV, refrigerator users in Germany and India. Proceedings of the HCI Society of Korea, Korea, 1035-1042.
  40. Kim, S., Park, H., & Kim, G. (2011). A empirical study on the factors influencing the trust of social commerce(s-Commerce). Journal of Business Research, 26(3), 95-121. doi:10.22903/jbr.2011.26.3.95
  41. Kim, Y. G., Lee, C. H., & Lee, J. M. (2018). Construct fashion shopping object name recognition dictionary for Natural Language Processing of intelligent chatbot in shopping mall. Proceedings of the Korean Institute of Industrial Engineers, Spring Conference, Korea, 2744-2749.
  42. Komiak, S. Y. X., & Benbasat, I. (2006). The effects of personalization and familiarity on trust and adoption of recommendation agents. MIS Quarterly, 30(4), 941-960. doi:10.2307/25148760
  43. Kopp, S., Gesellensetter, L., Kramer, N. C., & Wachsmuth, I. (2005). A conversational agent as museum guide - Design and evaluation of a real-world application. In T. Panayiotopoulos, J. Gratch, R. Aylett, D. Ballin, P. Olivier, & T. Rist (Eds.), Intelligent Virtual Agents: 5th International Working Conference, IVA 2005, Kos, Greece, September 12-14, 2005. Proceedings (pp. 329-343). Berlin and Heidelberg: Springer.
  44. Korea Internet & Security Agency. (2019, May). 2018 인터넷 이용실태조사 [2018 Survey on the internet usage] [PDF document]. Korea Internet & Security Agency. Retrieved from https://www.kisa.or.kr/public/library/etc_View.jsp?regno=0011998&searchType=&searchKeyword=&pageIndex=1
  45. Koufaris, M., Kambil, A., & Labarbera, P. A. (2001). Consumer behavior in web-based commerce: An empirical study. International Journal of Electronic Commerce, 6(2), 115-138. doi:10.1080/10864415.2001.11044233
  46. Kuligowska, K. (2015). Commercial chatbot: Performance evaluation, usability metrics and quality standards of embodied conversational agents. Professional Center for Business Research, 2:0202.22. doi:10.18483/PCBR.22
  47. Kumar, N., & Benbasat, I. (2006). Research note: The influence of recommendations and consumer reviews on evaluations of websites. Information Systems Research, 17(4), 327-444. doi:10.1287/isre.1060.0107
  48. Kwak, S. S. (2014). The impact of the robot appearance types on social interaction with a robot and service evaluation of a robot. Archives of Design Research, 27(2), 81-93. doi:10.15187/adr.2014.05.110.2.81
  49. Lee, E.-m., Jeon, J.-o., Kim, Y.-k., & Choi, W.-i. (2009). Analysis of the relationships among interactivity of internet shopping mall, perceived risk, perceived value, and trust dimensions. The Journal of Internet Electronic Commerce Research, 9(4), 415-439.
  50. Lee, H. (2018). A study on the optimal interaction for robot personification - Focusing on home service robots - (Unpublished master's thesis). Ewha Womans University, Seoul.
  51. Lee, K.-b., & Chung, M.-s. (2008). The effects of fashion product salesperson's emotional labor, self-efficacy and burnout on customer-oriented selling behavior. The Research Journal of the Costume Culture, 16(1), 33-47. doi:10.29049/rjcc.2008.16.1.33
  52. Lee, K.-K., & Noh, Y. (2009). Exploring factors affecting the mobile payment - Focus on factors related to risk and trust -. The e-Business Studies, 10(3), 281-301. doi:10.15719/geba.10.3.200909.281
  53. Lee, K.-M., & Nass, C. (2005). Social-psychological origins of feelings of presence: Creating social presence with machinegenerated voices. Media Psychology, 7(1), 31-45. doi:10.1207/S1532785XMEP0701_2
  54. Lombard, M., & Ditton, T. (1997). At the heart of it all: The concept of presence. Journal of Computer-Mediated Communication, 3(2):JCMC321. doi:10.1111/j.1083-6101.1997.tb00072.x
  55. 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. doi:10.2307/258792
  56. Monk, A. F., & Blom, J. O. (2007). A theory of personalisation of appearance: quantitative evaluation of qualitatively derived data. Behaviour & Information Technology, 26(3), 237-246. doi:10.1080/01449290500348168
  57. Moon, J.-W., & Kim, Y.-G. (2001). Extending the TAM for a World-Wide-Web context. Information & Management, 38(4), 217-230. doi:10.1016/S0378-7206(00)00061-6
  58. Moorman, C., Deshpande, R., & Zaltman, G. (1993). Factors affecting trust in market research relationships. Journal of Marketing, 57(1), 81-101. doi:10.1177/002224299305700106
  59. Mugge, R., Schoormans, J. P. L., & Schifferstein, H. N. J. (2009). Emotional bonding with personalised products. Journal of Engineering Design, 20(5), 467-476. doi:10.1080/09544820802698550
  60. Nowak, K. L. (2004). The influence of anthropomorphism and agency on social judgment in virtual environments. Journal of Computer-Mediated Communication, 9(2):JCMC925. doi:10.1111/j.1083-6101.2004.tb00284.x
  61. 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
  62. Panetta, K. (2017, October 3). Gartner Top 10 strategic technology trends for 2018 [Trend report]. Gartner. Retrieved from https://www.gartner.com/smarterwithgartner/gartner-top-10-strategic-technology-trends-for-2018/
  63. Park, J., & Joo, J. (2018). A behavioral economic approach to increase users' intention to continue to use the voice recognition speakers: Anthropomorphism. Design Convergence Study, 17(3), 41-53. doi:10.31678/SDC.70.3
  64. Park, K. I., & Cho, C.-H. (2015). Developing the scale of brand social presence: Focusing on Facebook. The Korean Journal of Advertising, 26(5), 213-241. doi:10.14377/KJA.2015.7.15.213
  65. Poortinga, W., & Pidgeon, N. F. (2003). Exploring the dimensionality of trust in risk regulation. Risk Analysis: An International Journal, 23(5), 961-972. doi:10.1111/1539-6924.00373
  66. Ratnasingham, P. (1998). The importance of trust in electronic commerce. Internet Research, 8(4), 313-321. doi:10.1108/10662249810231050
  67. Reeves, B., & Nass, C. (1996). The media equation: How people treat computers, television, and new media like real people and places. New York, NY: Cambridge University Press.
  68. Rice, R. E. (1993). Media appropriateness: Using social presence theory to compare traditional and new organizational media. Human Communication Research, 19(4), 451-484. doi:10.1111/j.1468-2958.1993.tb00309.x
  69. Rourke, L., Anderson, T., Garrison, D. R., & Archer, W. (1999). Assessing social presence in asynchronous text-based computer conferencing. Journal of Distance Education, 14(2), 50-71.
  70. Ryu, J., & Baylor, A. L. (2005). The psychometric structure of pedagogical agent persona. Technology, Instruction, Cognition & Learning, 2(4), 291-319.
  71. Ryu, J., & Yu, J. (2013). The impact of gesture and facial expression on learning comprehension and persona effect of pedagogical agent. Korean Journal of the Science of Emotion & Sensibility, 16(3), 281-292.
  72. Scanlan, T. K., & Simons, J. P. (1992). The construct of sport enjoyment. In G.C. Roberts (Ed.), Motivation in sport and exercise (pp. 199-215). Champaign, IL: Human Kinetics Books.
  73. Schultz, S. E., Kleine III, R. E., & Kernan, J. B. (1989). "These are a few of my favorite things" Toward an explication of attachment as a consumer behavior construct. In T. K. Srull (Ed.), NA - Advances in Consumer Research Volume 16 (pp. 359-366). Provo, UT: Association for Consumer Research.
  74. Shankar, V., Urban, G. L., & Sultan, F. (2002). Online trust: a stakeholder perspective, concepts, implications, and future directions. The Journal of Strategic Information Systems, 11(3-4), 325-344. doi:10.1016/S0963-8687(02)00022-7
  75. Short, J., Williams, E., & Christie, B. (1976). The social psychology of telecommunications. London: Wiley.
  76. Smeaton, A. F., & Callan, J. (2005). Personalisation and recommender systems in digital libraries. International Journal of Digital Libraries, 57(4), 299-308. doi:10.1007/s00799-004-0100-1
  77. Song, J. H., & Zinkhan, G. M. (2008). Determinants of perceived web site interactivity. Journal of Marketing, 72(2), 99-113. doi:10.1509/jmkg.72.2.99
  78. Srinivasan, S. S., Anderson, R., & Ponnavolu, K. (2002). Customer loyalty in e-commerce: an exploration of its antecedents and consequences. Journal of Retailing, 78(1), 41-50. doi:10.1016/S0022-4359(01)00065-3
  79. Surprenant, C. F., & Solomon, M. R. (1987). Predictability and personalization in the service encounter. Journal of Marketing, 51(2), 86-96. doi:10.1177/002224298705100207
  80. Teo, T. S. H., Lim, V. K. G., & Lai, R. Y. C. (1999). Intrinsic and extrinsic motivation in Internet usage. Omega, 27(1), 25-37. doi:10.1016/S0305-0483(98)00028-0
  81. Transparency Market Research. (2020, February 10). Chatbot market [Platform - Web-based, mobile and standalone; Enterprise size - Small and medium enterprises and large enterprises] - Global industry analysis, size, share, growth, trends and forecast, 2020 - 2027 [Market research]. Transparency Market Research. Retrieved from https://www.transparencymark-etresearch.com/chatbot-market.html
  82. Tu, C.-H., & McIsaac, M. (2002). The relationship of social presence and interaction in online classes. American Journal of Distance Education, 16(3), 131-150. doi:10.1207/S15389286AJDE1603_2
  83. von der Putten, A. M., Kramer, N. C., & Gratch, J. (2010). How our personality shapes our interactions with virtual characters - Implications for research and development. In J. Allbeck, N. Badler, T. Bickmore, C. Pelachaud, & A. Safonova (Eds.), Intelligent Virtual Agents: 10th International Conference, IVA 2010, Philadelphia, PA, USA, September 20-22, 2010. Proceedings (pp. 208-221). Berlin and Heidelberg: Springer.
  84. Wang, S., Beatty, S. E., & Foxx, W. (2004). Signaling the trustworthiness of small online retailers. Journal of Interactive Marketing, 18(1), 53-69. doi:10.1002/dir.10071
  85. Wang, Y.-S., Lin, H.-H., & Luarn, P. (2006). Predicting consumer intention to use mobile service. Information Systems Journal, 16(2), 157-179. doi:10.1111/j.1365-2575.2006.00213.x
  86. Wankel, L. M., & Sefton, J. M. (1989). A season-long investigation of fun in youth sports. Journal of Sport & Exercise Psychology, 11(4), 355-366. doi:10.1123/jsep.11.4.355
  87. Xiao, J., Stasko, J., & Catrambone, R. (2007). The role of choice and customization on users' interaction with embodied conversational agents: effects on perception and performance. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, USA, 1293-1302. doi:10.1145/1240624.1240820
  88. Yoo, B.-K., Lee, S.-H., & Song, J.-H. (2009). A study on the effects of social presence on perceived interactivity in the Internet retail environment. The e-Business Studies, 10(3), 395-414. doi:10.15719/geba.10.3.200909.395
  89. Yoo, Y., & Alavi, M. (2001). Media and group cohesion: Relative influences on social presence, task participation, and group consensus. MIS Quarterly, 25(3), 371-390. doi:10.2307/3250922