Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
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AI speakers!, Speak with feelings - Focusing on Analysis of SNS Comments

AI 스피커!, 감정을 담아 말해봐 - SNS 댓글 분석을 중심으로

  • 김준환 (성결대학교 파이데이아학부) ;
  • 이남연 (한신대학교 IT경영학과)
  • Received : 2020.06.02
  • Accepted : 2020.07.20
  • Published : 2020.07.28
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Abstract

Devices that add emotion-specific services or various functions are appearing in AI speakers and related devices. To this end, this study performed topic modeling analysis on the topics of post-purchase texts written by AI speaker users, and compared them with the data collected via survey questionnaires. Furthermore, data on the emotional intelligence of AI speakers and relationship quality were collected from 600 users and analyzed using structural equation modeling. The findings of the study are as follows: First, the analysis results of topic modeling showed that most of the articles mainly mention the functional aspects of AI speakers. Second, emotional intelligence of AI speaker perceived by consumer affected relationship quality, and relationship quality had a positive effect on customer satisfaction. Therefore, this study expands the area of AI research by integrating the concept of emotional intelligence and relationship quality to provide new theoretical and practical implications.

AI 스피커를 비롯한 관련 디바이스에 감정 맞춤형 서비스나 다양한 기능들이 부가된 기기들이 등장하고 있다. 이에 본 연구는 AI 스피커 사용자들이 작성한 구매 후기 텍스트들의 주제를 확인하고, 실제 설문조사를 통한 실증분석 결과와 비교하기 위해서 LDA(Latent Dirichlet Allocation) 기반의 토픽모델링 분석을 수행하였다. 더 나아가 AI 스피커 사용 경험이 있는 이용자 600명을 대상으로 사용자가 지각한 스피커의 감성지능과 관계품질을 조사하고 서로 유의한 관계가 있는지 구조방정식모형을 통해 검증하였다. 본 연구결과는 첫째, 토픽모델링 분석결과는 대부분의 글에서 주로 AI 스피커의 기능적인 측면에 대해 언급하고 있는 것으로 나타났다. 둘째, 소비자가 인식하는 AI 스피커의 감성지능은 관계품질에 영향을 미치며, 관계품질은 고객만족에 긍정적인 영향을 미쳤다. 따라서 본 연구는 AI 관련 기존 연구를 확장시켜 감성지능 및 관계품질의 개념을 새롭게 접목하여 분석함으로써 이론적 및 실무적으로 시사점을 제공하고 있다.

Keywords

References

  1. Gartner (2017. 10. 3). Artificial Intelligence, Immersive Experiences, Digital Twins, Event-thinking and Continuous Adaptive Security Create a Foundation for the Next Generation of Digital Business Models and Ecosystems. Gartner Top 10 Strategic Technology Trends for 2018. https://www.gartner.com/smarterwithgartner/gartner-top-10-strategic-technology-trends-for-2018/
  2. Kabir, K. (2018. 2. 14). Smart Speakers-Everything You Need to Know, What Hi-Fi?. https://www.whathifi.com/advice/smart-speakers-everything-you-need-to-know.
  3. Statista (2020 3. 3). Smart speaker with intelligent personal assistant quarterly shipment share from 2016 to 2019, by vendor. https://www.statista.com/statistics/792604/worldwide-smart-speaker-market-share/
  4. B. Kinsella. (2018). Amazon Echo maintains large market share lead in US smart speaker user base. VoiceBot. ai.
  5. T. S. Kwon. (2019. 1. 6). CES 2019, emotional intelligence (EI) is on the rise. Etoday News Agency. http://www.etoday.co.kr/news/view/1707620
  6. D. K. Kim (2017. 12. 25). From artificial intelligence to emotional intelligence... Innocence Report. Yonhap News Agency. https://www.yna.co.kr/view/AKR20171225017000003?input=1179m
  7. N. Lee & O. Kwon. (2013). Para-Social Relationships and Continuous Use of Mobile Devices. International Journal of Mobile Communications, 11(5), 465-484. DOI : 10.1504/IJMC.2013.056956
  8. M. Heerink, B. Krose, V. Evers & B. Wielinga. (2010). Assessing Acceptance of Assistive Social Agent Technology by Older Adults: The Almere Model. International Journal of Social Robotics, 2(4), 361-375. https://doi.org/10.1007/s12369-010-0068-5
  9. H. J. Lee. (2018). A Ghost in the Shell? Influences of AI Features on Product Evaluations of Smart Speakers with Customer Reviews. Journal of Information Technology Services, 17(2), 191-205. DOI : 10.9716/KITS.2018.17.2.191
  10. Korea Consumer Agency (2018). Problems and Improvements of Artificial Intelligence (AI) Appliances (Focus on Voice Recognition Speaker). KCA Report.
  11. S. Andreev, O. Galinina, A. Pyattaev, M. Gerasimenko, T. Tirronen, J. Torsner & Y. Koucheryavy. (2015). Understanding the IoT Connectivity Landscape: A Contemporary M2M Radio Technology Roadmap. IEEE Communications Magazine, 53(9), 32-40. DOI : 10.1109/MCOM.2015.7263370
  12. P. Salovey & J. D. Mayer. (1990). Emotional Intelligence. Imagination. Cognition and Personality, 9(3), 185-211. DOI : 10.2190/DUGG-P24E-52WK-6CDG
  13. B. Kidwell, D. M. Hardesty, B. R. Murtha & S. B. Sheng. (2011). Emotional Intelligence in Marketing Exchanges. Journal of Marketing, 75(1), 78-95. DOI : 10.1509/jm.75.1.78
  14. J. D. Mayer, P. Salovey & D. R. Caruso. (2008). Emotional Intelligence: New Ability or Eclectic Traits?. American Psychologist, 63(6), 503-517. DOI : 10.1037/0003-066X.63.6.503
  15. J. E. Park, J. Kim, A. J. Dubinsky & H. Lee. (2010). How Does Sales Force Automation Influence Relationship Quality and Performance? The Mediating Roles of Learning and Selling Behaviors. Industrial Marketing Management, 39(7), 1128-1138. DOI : 10.1016/j.indmarman.2009.11.003
  16. E. C. Clemmer & S. Benjamin. (1996). Fair Service in Advances in Services Marketing and Management. Swartz, Teresa A., David Bowen, and Dawn Iacobucci, eds., Greenwich, CT: JAI Press, 109-126.
  17. S. W. Kelley & M. A. Davis. (1994). Antecedents to Customer Expectations for Service Recovery. Journal of the Academy of Marketing Science, 22(1), 52-61. DOI : 10.1177/0092070394221005
  18. L. A. Crosby & N. Stephens. (1987). Effects of Relationship Marketing on Satisfaction, Retention and Prices in the Life Insurance Industry. Journal of Marketing Research, 24, 404-411. DOI : 10.1177/002224378702400408
  19. B. Smith. (1998). Buyer-Seller Relationships: Bonds, Relationship Management and Sex-type. Canadian Journal of Administrate Sciences, 15(1), 76-92. DOI : 10.1111/j.1936-4490.1998.tb00153.x
  20. E. Garbarino & M. S. Johnson. (1999). The Different Roles of Satisfaction, Trust, and Commitment in Customer Relationships. Journal of Marketing, 63(2), 70-87. DOI : 10.1177/002224299906300205
  21. S. G. Weun. (1997). Service Failure and Service Recovery: Implications for Relationship Marketing (Doctoral dissertation). University of Alabama.
  22. S. Ganesan. (1994). Determinants of Long-Term Orientation in Buyer-Seller Relationships. Journal of Marketing, 58(2), 1-19. DOI : 10.1177/002224299405800201
  23. E. Gummesson. (1996). Relationship Marketing and Imaginary Organizations: A Synthesis. European Journal of Marketing, 30(2), 31-44. https://doi.org/10.1108/03090569610106635
  24. L. A. Crosby, K. R. Evans & D. Cowles. (1990). Relationship Quality in Services Selling: An Interpersonal Influence Perspective. Journal of Marketing, 54(3), 68-81. DOI : 10.1177/002224299005400306
  25. R. L. Oliver. (1997). Satisfaction: A Behavioral Perspective on the Consumer. New York: The McGrawHill Companies.
  26. J. C. Anderson & J. A. Narus. (1990). A Model of Distributor Firm and Manufacturer Firm Working Partnerships. Journal of Marketing, 54(1), 42-58. DOI : 10.1177/002224299005400103
  27. S. S. Tax, S. W. Brown & M. Chandrashekaran. (1998). Customer Evaluations of Service Complaint Experiences: Implications for Relationship Marketing. Journal of Marketing, 62(2), 60-76. DOI : 10.1177/002224299806200205
  28. R. Ladhari. (2007). The Effect of Consumption Emotions on Satisfaction and Word-of-Mouth Communications. Psychology & Marketing, 24(12), 1085-1108. DOI : 10.1002/mar.20195
  29. M. J. Bitner, B. H. Booms & L. A. Mohr. (1994). Critical Service Encounters: The Employee's Viewpoint. Journal of Marketing, 58(4), 95-106. DOI : 10.1177/002224299405800408
  30. R. M. Morgan, & S. D. Hunt. (1994). The Commitment-Trust, Theory of Relationship Marketing. Journal of Marketing, 58(3), 20-38. DOI : 10.1177/002224299405800302
  31. C. Fornell. (1992). A National Customer Satisfaction Barometer: The Swedish Experience. Journal of Marketing, 56(1), 6-21. DOI : 10.1177/002224299205600103
  32. D. M. Blei. (2012). Probabilistic topic models. Communications of the ACM, 55(4), 77-84. DOI : 10.1145/2133806.2133826
  33. C. S. Wong & K. S. Law. (2002). The Effects of Leader and Follower Emotional Intelligence on Performance and Attitude: An Exploratory Study. The Leadership Quarterly, 13(3), 243-274. DOI : 10.1016/S1048-9843(02)00099-1
  34. J. C. Nunnally & I. H. Bernstein. (1994). Psychometric Theory (McGraw-Hill Series in Psychology) (Vol. 3). New York: McGraw-Hill.
  35. J. C. Anderson & D. W. Gerbing. (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
  36. L. Hu & P. M. Bentler. (1999). Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria versus New Alternatives. Structural Equation Modeling: A Multidiscipinary Journal, 6(1), 1-55. DOI : 10.1080/10705519909540118
  37. J. F. JR. Hair, W. C. Black, B. J. Babin & R. E. Anderson. (2014). Multivariate Data Analysis (7th ed.). Essex, UK: Pearson Education Limited.
  38. H. J. Park & Q. Q. Chen. (2019). Factors Influencing the Use-diffusion of Smart Speakers. Journal of Digital Convergence, 17(8), 149-157. DOI : 10.14400/JDC.2019.17.8.149
  39. X. T. Xiao & S. I. Kim. (2018). A Study on the User Experience of Smart Speaker in China - Focused on Tmall Genie and Mi AI Speaker. Journal of Digital Convergence, 16(10), 409-414. DOI : 10.14400/JDC.2018.16.10.409
  40. G. E. Jo & S. I. Kim. (2018). A Study on User Experience of Artificial Intelligence Speaker. Journal of the Korea Convergence Society, 9(8), 127-133. DOI : 10.15207/JKCS.2018.9.8.127
  41. B. J. Babin, W. R. Darden & L. A. Babin. (1998). Negative Emotions in Marketing Research: Affect or Artifact?. Journal of Business Research, 42(3), 271-85. DOI : 10.1016/S0148-2963(97)00124-0