DOI QR코드

DOI QR Code

멀티모달 상호작용 중심의 로봇기반교육 콘텐츠를 활용한 r-러닝 시스템 사용의도 분석

A Study on the Intention to Use a Robot-based Learning System with Multi-Modal Interaction

  • 오준석 (연세대학교 방송통신정책연구소) ;
  • 조혜경 (한성대학교 정보통신공학과)
  • Oh, Junseok (Communications Policy Research Center, Yonsei University) ;
  • Cho, Hye-Kyung (Dept. of Information & Communications Engineering, Hansung University)
  • 투고 : 2014.02.15
  • 심사 : 2014.03.30
  • 발행 : 2014.06.01

초록

This paper introduces a robot-based learning system which is designed to teach multiplication to children. In addition to a small humanoid and a smart device delivering educational content, we employ a type of mixed-initiative operation which provides enhanced multi-modal cognition to the r-learning system through human intervention. To investigate major factors that influence people's intention to use the r-learning system and to see how the multi-modality affects the connections, we performed a user study based on TAM (Technology Acceptance Model). The results support the fact that the quality of the system and the natural interaction are key factors for the r-learning system to be used, and they also reveal very interesting implications related to the human behaviors.

키워드

참고문헌

  1. D. Feil-Seifer and M. Mataric, "Defining socially assistive robotics," ICORR 2005. 9th International Conference on Rehabilitation Robotics, 2005.
  2. S. O. Adalgeirsson and C. Breazeal, "MeBot: A robotic platform for socially embodied telepresence," Proceedings of the HRI 2010.
  3. V. Rousseau et al., "Sorry to interrupt, but may i have your attention? Preliminary design and evaluation of autonomous engagement in HRI," Journal of Human-Robot Interaction, vol. 2, no. 3, pp. 41-61, 2013.
  4. L. D. Riek, "Wizard of Oz studies in HRI: A systematic review and new reporting guidelines," Journal of Human-Robot Interaction, vol. 1, no. 1, 2012.
  5. F. D. Davis, "A technology acceptance model for empirically testing new end-user information systems: Theory and results," Doctoral dissertation, Cambridge, MA: MIT Sloan School of Management, 1986.
  6. F. D. Davis, "Perceived usefulness, perceived ease of use, and user acceptance of information technology," MIS Quarterly, vol. 13, no. 3, pp. 319-339, 1989. https://doi.org/10.2307/249008
  7. T. Kanda, T. Hirano, D. Eaton, and H. Ishiguro, "Interactive robots as social partners and peer tutors for children: a field trial," Human-Computer Interaction, vol. 19, pp. 61-84, 2004. https://doi.org/10.1207/s15327051hci1901&2_4
  8. J. R. Movellan, M. Eckhardt, M. Virnes, and A. Rodriguez, "Sociable robot Improves Toddler Vocabulary Skills," 4th ACM/IEEE International Conference on HRI (Human-Robot Interaction), pp. 307-308, 2009.
  9. E. J. Hyun, S. Y. Kim, S. Jang, and S. Park, "Comparative study of effects of language instruction program using intelligence robot and multimedia on linguistic ability of young children," Proc. of the 17th IEEE International Symposium on Robot and Human Interactive Communication, pp. 187-192, 2008.
  10. E. Grandon, O. Alshare, and O. Kwan, "Factors influencing student intention to adopt online classes: A cross-cultural study," Journal of Computing Sciences in College, vol. 20, no. 4, pp. 46-56, 2005.
  11. D. Jong and T. S. Wang, "Student acceptance of web-based learning system," Proc. of the 2009 International Symposium on Web Information Systems and Applications, pp. 533-536, 2009.
  12. H. R. Chen and H. L. Huang, "User acceptance of mobile knowledge management learning system: design and analysis," Educational Technology and Society, vol. 13, no. 3, pp. 70-77, 2010.
  13. A. Abu-Al-Aish and S. Love, "Factors influencing students' acceptance of m-learning: an investigation in higher education," International Review of Research in Open and Distance Learning, vol. 14, no. 5, 2013.
  14. S. S. Liaw, "Investigating students' perceived satisfaction, behavioral intention, and effectiveness of e-learning: A case study of the Blackboard system," Computer and Education, vol. 51, no. 2, pp. 864-873, 2008. https://doi.org/10.1016/j.compedu.2007.09.005
  15. W. H. DeLone and E. R. McLean, "Information systems success: the quest for the dependent variable," Information Systems Research, vol. 3, no. 1, pp. 60-95, 1992. https://doi.org/10.1287/isre.3.1.60
  16. F. D. Davis, "On the relationship between HCI and technology acceptance research," Human-Computer Interaction and Management Information Systems: Foundations, Advances in Management Information Systems, vol. 5, pp. 395-401, 2006.
  17. M. Heerink, "Exploring the influence of age, gender, education and computer experience on robot acceptance by older adults," 6th ACM/IEEE International Conference on Human-Robot Interaction, 2011.
  18. A. Z. Hassani, "Discovering the level of robot acceptance of seniors using scenarios based on assistive technologies," Research Article, University of Twente, 2011.
  19. H.-K. Cho et al., "New clay for digital natives' HRI: Create your own interactions with SiCi," HRI 2013.
  20. E. Torta, et al., "Attitudes towards socially assistive robots in intelligent homes: Results from laboratory studies and field trials," Journal of Human-Robot Interaction 1. 2013.