DOI QR코드

DOI QR Code

Usefulness Evaluation on Elements for Visualization of Technology Intelligence Service

테크놀로지 인텔리전스 서비스의 시각화 요소 평가 -사용자 평가를 통한 효용성 분석-

  • 이진희 (과학기술연합대학원대학교 응용정보과학) ;
  • 김태홍 (과학기술연합대학원대학교 응용정보과학) ;
  • 이미경 (한국과학기술정보연구원 정보기술연구실) ;
  • 김진형 (한국과학기술정보연구원 정보기술연구실) ;
  • 정한민 (한국과학기술정보연구원 정보기술연구실) ;
  • 성원경 (한국과학기술정보연구원 정보기술연구실) ;
  • 김도완 (배재대학교)
  • Received : 2011.09.19
  • Accepted : 2011.11.10
  • Published : 2011.12.28

Abstract

Visualization elements as the technology to offer information to users effectively have become more important. In this study, we evaluate the usefulness of visualization elements in InSciTe which is a technology intelligence service developed by using Semantic Web technologies and text mining technologies for establishing R&D strategy using papers and patents. We propose design which can be preferred by users and applying methods of visualization elements through the quantitative and qualitative evaluation about each types of service. As a result of evaluation, we conclude that the visualization elements in InSciTe are implemented user-friendly to improve user's cognitive intuition.

Keywords

Information Analytics Service;InSciTe;Technology Intelligence;Visualization Elements;Usefulness Evaluation;User Experience

References

  1. S. McDonald and R. J. Stevenson, "Disorientation in hypertext : the effects of three text structures on navigation performance," Applied Ergonomics, Vol.27, No.1, pp.61-68, 1996. https://doi.org/10.1016/0003-6870(95)00073-9
  2. 이미경, 정한민, 김평, 성원경, "연구개발 전략 수 립 지원을 위한 테크놀로지 인텔리전스 서비스", 정보과학회논문지 : 컴퓨터의 실제 및 레터, 제17 권, 제5호, pp.337-341, 2011.
  3. V. Geroimenco, and C. Chen,(eds). Information Visualization and the Semantic Web : XMLbased internet and information visualization, Springer, 2006.
  4. 박병재, 우종우, "연관 태그의 군집 알고리즘의 설계 및 구현", 한국IT서비스학회지, 제8권, 제4호, pp.199-208, 2008.
  5. J. Hendler, "Web 3.0: Chicken Farms on the Semantic Web," Computer(IEEE Computer Society), Vol.41, No.1, pp.106-108, 2008.
  6. FKII국제협력팀, "차세대 웹으로서의 시맨틱 웹 기술동향", Information industry, 2007.
  7. H. Jung, M. Lee, P. Kim, and W. Sung, "Technology-Based Decision-Making Support System," Human interface and the management of information, interacting with information (LNCS), Vol.6772, No.2011, pp.262-267, 2011.
  8. C. Ware, Information Visualization, Elsevier, 2004.
  9. S. Card and J. D. Mackinlay, Readings in information visualization : using vision to think, Xerox PARC, 1999.
  10. M. Williams, "Diversity, thinking styles and infographics," Proceedings of 12th international conference of women in engineering, science and technology, pp.1-5, 2002.
  11. C. Card, Information visualization, Xerox PARC, 2001.
  12. D. Gordin and R. Pea, "Prospects for scientific visualization as an educational technology," The journal of the learning sciences, Vol.4, No.3, pp.249-279, 1995. https://doi.org/10.1207/s15327809jls0403_1
  13. J. Munemori, "The pictograph chat communicator II," Lecture Notes in Computer Science, Vol.5173, pp.167-174, 2008.
  14. P. Pirolli and R. Rao, "Table lens as a tool for making sense of data," Proceedings of the advanced visual interfaces(AVI-96), pp.67-80, 1998.
  15. International Organization for Standardization; ISO9241-11 Ergonomic requirements for office work with visual display terminals. Part II: guidance on usability, 1998.
  16. 김태홍, 이진희, 이미경, 정한민, 김도완, "시각화 속성을 고려한 정보 서비스 평가 및 제안", 한국콘텐츠학회논문지, 제11권, 제5호, pp.489-499, 2011. https://doi.org/10.5392/JKCA.2011.11.5.489
  17. J. Nielson and T. K. Dandaure, "A mathematical model of the finding of usability problems," Proceedings of the INTERACT '93 and CHI '93 conference on Human factors in computing systems, pp.206-213, 1993.