Expectation and Expectation Gap towards intelligent properties of AI-based Conversational Agent

인공지능 대화형 에이전트의 지능적 속성에 대한 기대와 기대 격차

  • 박현아 (서울대학교 언론정보학과) ;
  • 태문영 (서울대학교 언론정보학과) ;
  • 허영진 (서울대학교 인지과학 협동과정) ;
  • 이준환 (서울대학교 언론정보학과)
  • Received : 2018.09.28
  • Accepted : 2018.11.20
  • Published : 2019.02.28

Abstract

The purpose of this study is to investigate the users' expectation and expectation gap about the attributes of smart speaker as an intelligent agent, ie autonomy, sociality, responsiveness, activeness, time continuity, goal orientation. To this end, semi-structured interviews were conducted for smart speaker users and analyzed based on ground theory. Result has shown that people have huge expectation gap about the sociality and human-likeness of smart speakers, due to limitations in technology. The responsiveness of smart speakers was found to have positive expectation gap. For the memory of time-sequential information, there was an ambivalent expectation gap depending on the degree of information sensitivity and presentation method. We also found that there was a low expectation level for autonomous aspects of smart speakers. In addition, proactive aspects were preferred only when appropriate for the context. This study presents implications for designing a way to interact with smart speakers and managing expectations.

본 연구에서는 인공지능 대화형 에이전트인 스마트 스피커의 지능형 에이전트로서의 속성, 즉 자율성, 사회성, 반응성, 능동성, 시간연속성, 목표지향성에 대하여 이용자들이 일상적 상호작용을 통하여 어떤 기대를 가지는지, 또한 어떤 기대격차를 갖는지 살펴보고자 하였다. 이를 위해 스마트 스피커 이용자들을 대상으로 반구조화 인터뷰(semi-structured interview)를 진행하고 그라운드 이론에 기반하여 분석하였다. 연구 결과 사람들은 기술수준의 한계로 인해 스마트 스피커의 사회성이나 인간다움에 대해 큰 기대격차를 갖고 있었다. 스마트 스피커의 반응성에 대해서는 긍정적인 기대격차를 갖는 것으로 드러났고, 시간연속적으로 정보를 기억하는 것에 대해서는 정보의 민감성 정도나 제시방식에 따라 양가적 기대격차가 나타났다. 자율적인 추천에 대해서는 낮은 기대수준이 나타났고 능동적인 말걸기에 대해서는 맥락에 맞는 경우에만 선호하는 것으로 나타났다. 본 연구는 스마트 스피커와 상호작용하는 방식을 설계하고 기대 수준을 관리하는데 있어서 함의점을 제시한다.

Keywords

References

  1. Olson, C. and Levy, J. Transforming marketing with artificial intelligence. Applied Marketing Analytics. 3(4). Henry Stewart Publications. pp. 291-297. 2018.
  2. Russell, S. N. Artificial Intelligence: A Modern Approach (1st ed.). Upper Saddle River, NJ: Prentice Hall. 1994.
  3. Arras, K. O. and Cerqui, D. Do we want to share our lives and bodies with robots? A 2000-people survey. Technical Report Nr. 0605-001. Autonomous Systems Lab Swiss Federal Institute of Technology. 2005.
  4. Komatsu, T., Kurosawa, R. and Yamada, S. How does the difference between users' expectations and perceptions about a robotic agent affect their behavior?. International Journal of Social Robotics. 4(2). Springer Verlag. pp. 109-116. 2012. https://doi.org/10.1007/s12369-011-0122-y
  5. Shin, D. H. and Choo, H. Modeling the acceptance of socially interactive robotics: Social presence in human-robot interaction. Interaction Studies. 12(3). John Benjamins Publishing Company. pp. 430-460. 2011. https://doi.org/10.1075/is.12.3.04shi
  6. Lohse, M. The role of expectations in HRI. In Dautenhahn, K. and Saunders, J. (Ed.) New Frontiers in Human-Robot Interaction (1st ed). Amsterdam: John Benjamins Publishing Company. pp. 35-56. 2009.
  7. Shin, D. and Hwang, Y. Integrated acceptance and sustainability evaluation of Internet of Medical Things: A dual-level analysis. Internet Research, 27(5). Emerald Group Publishing. pp. 1227-1254. 2017. https://doi.org/10.1108/IntR-07-2016-0200
  8. Luger, E. and Sellen, A. Like having a really bad PA: the gulf between user expectation and experience of conversational agents. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. ACM. pp. 5286-5297. 2016.
  9. Moore, R. K. Is spoken language all-or-nothing? Implications for future speech-based human-machine interaction. In Jokinen, K. and Wilcock, G. (Ed.) Dialogues with Social Robots. Singapore: Springer. pp. 281-291. 2017.
  10. Lange, D. B. and Oshima, M. Seven good reasons for mobile agents. Communications of the ACM. 42(3). ACM. pp. 88-89. 1999. https://doi.org/10.1145/295685.298136
  11. Schank, R. C. and Abelson, R. Scripts, goals, plans, and understanding. Hillsdale, NJ:Erlbaum. 1977.
  12. Shin, D. and Biocca, F. Exploring immersive experience in journalism. New Media & Society. 20(8). Sage journals. pp. 2800-2823. 2017.
  13. Kriz, S., Ferro, T. D., Damera, P. and Porter, J. R. Fictional robots as a data source in hri research: Exploring the link between science fiction and interactional expectations. In Proceedings of 19th International Symposium in Robot and Human Interactive Communication. IEEE. pp. 458-463. 2010.
  14. Edwards, C., Edwards, A., Spence, P. R. and Westerman, D. Initial interaction expectations with robots: Testing the human-to-human interaction script. Communication Studies. 67(2). Taylor & Francis Online. pp. 227-238. 2016. https://doi.org/10.1080/10510974.2015.1121899
  15. Khan, Z. Attitudes towards intelligent service robots. NADA KTH, Stockholm, 17. 1998.
  16. Ray, C., Mondada, F. and Siegwart, R. What do people expect from robots?. In Proceedings of 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE. pp. 3816-3821. 2008.
  17. Dautenhahn, K., Woods, S., Kaouri, C., Walters, M. L., Koay, K. L. and Werry, I. What is a robot companion-friend, assistant or butler?. In Proceedings of 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE. pp. 1192-1197. 2005.
  18. Paepcke, S. and Takayama, L. Judging a bot by its cover: an experiment on expectation setting for personal robots. In Proceedings of the 5th ACM/IEEE international conference on Human-robot interaction. IEEE. pp. 45-52. 2010.
  19. Kwon, M., Jung, M. F. and Knepper, R. A. Human expectations of social robots. In Proceedings of 11th ACM/IEEE International Conference on Human Robot Interaction. IEEE. pp. 463-464. 2016.
  20. Cha, E., Dragan, A. D. and Srinivasa, S. S. Perceived robot capability. In Proceedings of 24th Robot and Human Interactive Communication. IEEE. pp. 541-548. 2015.
  21. Oh, H., Kwak, S. S. and Kim, M. S. Application of unexpectedness to the behavioral design of an entertainment robot. In Proceedings of the 5th ACM/IEEE international conference on Human-robot interaction. IEEE. pp. 119-120. 2010.
  22. Fast, E. and Horvitz, E. Long-Term Trends in the Public Perception of Artificial Intelligence. In Proceedings of 31st AAAI Conference on Artificial Intelligence. AAAI. pp. 963-969. 2017.
  23. Oh, C., Lee, T., Kim, Y., Park, S. and Suh, B. Us vs. Them: Understanding Artificial Intelligence Technophobia over the Google DeepMind Challenge Match. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM. pp. 2523-2534. 2017.
  24. Zlotowski, J., Yogeeswaran, K. and Bartneck, C. Can we control it? Autonomous robots threaten human identity, uniqueness, safety, and resources. International Journal of Human-Computer Studies. 100. Elsevier. pp. 48-54. 2017. https://doi.org/10.1016/j.ijhcs.2016.12.008
  25. Neff, G. and Nagy, P. Automation, algorithms, andpolitics| talking to bots: symbiotic agency and the caseof tay. International Journal of Communication. 10(17).USC Annenberg School of Communication andJournalism. pp. 4915-4931. 2016.
  26. Purington, A., Taft, J. G., Sannon, S., Bazarova, N. N. and Taylor, S. H. Alexa is my new BFF: social roles, user satisfaction, and personification of the amazon echo. In Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems. ACM. pp. 2853-2859. 2017.
  27. Glaser, B. and Strauss, A. The Discovery of Grounded Theory: Strategies for Qualitative Research. Chicago: Aldine Publishing Co. 2009.
  28. Funakoshi, K., Nakano, M., Kobayashi, K., Komatsu, T. and Yamada, S. Non-humanlike spoken dialogue: a design perspective. In Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue. Association for Computational Linguistics. pp. 176-184. 2010.
  29. Balentine, B. It's Better to Be a Good Machine Than a Bad Person: Speech Recognition and Other Exotic User Interfaces at the Twilight of the Jetsonian Age. Annapolis: ICMI Press. 2007.
  30. Klopfenstein, L. C., Delpriori, S., Malatini, S. and Bogliolo, A. The rise of bots: a survey of conversational interfaces, patterns, and paradigms. In Proceedings of the 2017 Conference on Designing Interactive Systems. ACM. pp. 555-565. 2017.
  31. Lopatovska, I. and Williams, H. Personification of the Amazon Alexa: BFF or a Mindless Companion. In Proceedings of the 2018 Conference on Human Information Interaction and Retrieval. ACM. pp. 265-268. 2018.