DOI QR코드

DOI QR Code

스마트 폰 음성 인식 서비스의 상황별 만족도 조사

Study on the Situational satisfaction survey of Smart Phone based on voice recognition technology

  • 이윤정 (홍익대학교 국제디자인전문대학원 디지털미디어디자인전공) ;
  • 김승인 (홍익대학교 국제디자인전문대학원)
  • Lee, Yoon-jeong (Dept. of Digital Media Design, Hongik University, International Design School for Advanced Studies) ;
  • Kim, Seung-In (Digital Media Design, Hongik University, International Design School for Advanced Studies)
  • 투고 : 2017.05.26
  • 심사 : 2017.08.20
  • 발행 : 2017.08.28

초록

본 연구는 스마트 폰 음성인식 서비스를 분석하고 음성인식 서비스의 상황별 만족도 조사를 통하여 사용자들의 기대요구와 만족도 간의 관련성을 분석하여 더 나은 음성인식 서비스 발전을 모색하고자 하였다. 1차로 문헌연구를 통하여 음성인식 서비스의 개념과 현황을 알아보고, 2차로 육하원칙을 기조로 한 설문지를 통해 설문 조사를 진행하였다. 그 결과, 사용자는 스마트 폰 음성인식 서비스를 전화를 걸 때에 가장 많이 사용하며, 주로 혼자 있을 때 사용하며 시간대는 대체로 평이하지만, 저녁 시간이 가장 많았다. 또한, 해당 서비스는 집에서 가장 많이 사용하며 손을 사용할 수 없을 때 서비스를 가장 많이 사용하는 것으로 나타났다. 이러한 상황별 다양한 결과를 통해 개인화 서비스, 조건 인식 기능, 위급 상황 자동인식, 음성으로 잠금 해제 등 다양한 방안을 도출할 수 있었다. 본 연구를 바탕으로 추후 국내 스마트 폰 음성인식 서비스 개선과 웨어러블 디바이스 개발을 위해 효과적으로 활용할 수 있을 것으로 기대한다.

The purpose of this study is to analyze the relationship between users' expectation and satisfaction through analyzing smart phone voice recognition service and surveying the situational satisfaction of voice recognition service. First, the concept and current status of speech recognition service were investigated through literature research, and the questionnaire survey was carried out through questionnaires based on the second and third principles. As a result, the user is most likely to use the smartphone voice recognition service when making a telephone call. Also, it was found that the service is the most used at home and the service is used most when the hand is not available. Through these results, various methods such as personalization service, condition recognition function, automatic emergency recognition, unlocking by voice could be derived. Based on this research, it is expected that it will be used effectively for improving smartphone voice recognition service and developing wearable device in the future.

키워드

참고문헌

  1. Ki-hee Lee, Doo-suk Park, "Speech recognition technology and status", The Korean Society Of Computer And Information, Vol. 4, No. 2, pp.1-12, 1997.
  2. Dong-cheol Kang, Chosun Biz Home page, http://biz.chosun.com/site/data/html_dir/2017/02/02/2017020200012.html, February 2, 2017.
  3. Gyu-seob Lee, "Speech recognition trend report", Security World, 2016.
  4. Jin-tae Kim, Hoon Jung, "Trends of Speech Recognition Technology and Application Method of Navy Information and Communications: Focusing on Speech To Text", Defense and Technology, p121, June, 2017.
  5. Dong-gyu Won, Sang-pil Lee, "Artificial Intelligence and Implications of the Fourth Industrial Revolution", ie Magazine, Vol. 23, No. 2, pp. 13-22, 2016.
  6. Min-bae Han, "Top 10 Strategic Technology Trends 2017 with Gartner", Journal of Mechanical Science and Technology, Vol.57, No.2, Feburary, 2017.
  7. Chang-ui Jeon, "Deep running, where is it applied?", Culture:Technology, Vol.45, p.13, April, 2016.
  8. M.B. Yoon, J. H. Lee, J. E. Baek, "Topophilia Convergence Science Education for Enhancing Learning Capabilities in the Age of Artificial Intelligence Based on the Case of Challenge Match Lee Sedol and AlphaGo", Journal of the Korea Convergence Society, Vol. 7. No. 4, pp. 123-131, 2016. https://doi.org/10.15207/JKCS.2016.7.4.123
  9. Yun-geun Lee, "Outline of voice interface technology and service trend in smartphone environment", KICS, Vol. 29, No.4 , pp. 3-9, 2012.
  10. Su-ji Baek, Yeong-jae Lee, "Game Interface based on Voice Recognition for Smartphone", pp.454-458, 2012.
  11. J. Y. Jeong, S. M. Jeong, H. Y. Jo, D. H. Shin, "A Study of Smartphone Voice-User Interfaces (VUI) for Non-Verbal Communication", HCI, pp.171-174, 2014.
  12. H. Y. Jeong, H. B. Jeon, K. Y. Park, W. Kim, S. Yoon, Y. G. Lee,, "Dialogue voice interface technology and application service development trend", The Magazine of the IEEK, pp.59-78, 2014.
  13. LG CNS, http://blog.lgcns.com/1323, February 1, 2017.
  14. B. S. Kim, K. M. Kim, E. N. Seo, MK, http://news.mk.co.kr/newsRead.php?&year=2017&no=131738, February 24, 2017.
  15. David Watkins, Stategy Analytics, https://www.strategyanalytics.com, Aug 12, 2016
  16. H.Y Jong, EPNC, http://www.epnc.co.kr/news/articleView.html?idxno=74876, April 13, 2017
  17. "Top 10 ICT issues in 2017", KT Business& Economics Research Center, 2016.