Journal of Korea Game Society (한국게임학회 논문지)

Korea Game Society (한국게임학회)
권호 표지
DOI QR코드

DOI QR Code

A study on the Elements of Interest for VR Game Users Using Text Mining and Text Network Analysis - Focused on STEAM User Review Data -

텍스트마이닝과 네트워크 분석을 적용한 VR 게임 사용자의 관심 요소 연구 - STEAM 사용자 리뷰 데이터를 중심으로 -

  • Wui, Min-Young (Dept. of Content Convergence, Ewha Womans University) ;
  • Na, Ji Young (Dept. of Content Convergence, Ewha Womans University) ;
  • Park, Young Il (Dept. of Content Convergence, Ewha Womans University)
  • 위민영 (이화여자대학교 융합콘텐츠학과) ;
  • 나지영 (이화여자대학교 융합콘텐츠학과) ;
  • 박영일 (이화여자대학교 융합콘텐츠학과)
  • Received : 2018.11.09
  • Accepted : 2018.12.10
  • Published : 2018.12.20
Download PDF
⟨ Previous Next ⟩

Abstract

The need of high quality VR contents has been steadily raised in recent years. Therefore, this study investigated the user's interest factors of VR game which is receiving the most attention among VR contents. We used STEAM review data and applied Text mining and Network analysis to perform this research. As a result, it was possible to confirm 4 word clusters related VR game users. Each cluster is named by 'presence', 'first person view game', 'auditory factor' and 'interaction'. This study has its meaning. First, user related research would be very helpful to develop high quality VR game. Second, it confirms that review data of VR game users can be structured, analyzed and used.

최근 들어 VR 산업의 성장을 위한 양질의 VR 콘텐츠에 대한 필요성이 꾸준히 제기되고 있다. 이에 본 연구는 VR 콘텐츠 중에서 가장 큰 주목을 받고 있는 VR 게임의 사용자의 관심요소에 대해 연구하였다. 연구 수행을 위해 스팀(STEAM)의 사용자 리뷰 데이터를 활용하였고 리뷰 데이터에 텍스트마이닝과 네트워크 분석을 적용한 결과 VR 게임 사용자의 관심요소는 '현존감', '1인칭 시점 게임', '청각적 요소', '상호작용' 으로 확인되었다. 본 연구는 양질의 VR 게임 개발을 위한 사용자 관점의 연구를 수행하고 사용자 관점의 연구를 리뷰을 통해 시도한 초기 연구라는 것에 대해 그 의의가 있다.

Keywords

KGOHCL_2018_v18n6_69_f0001.png 이미지

[Fig. 1] CONCOR Network Structure

[Table 1] Research Questions

KGOHCL_2018_v18n6_69_t0001.png 이미지

[Table 2] The Data Element and Format

KGOHCL_2018_v18n6_69_t0002.png 이미지

[Table 3] Key Words that Consist of Data

KGOHCL_2018_v18n6_69_t0003.png 이미지

[Table 4] Key Words of Cluster No.1

KGOHCL_2018_v18n6_69_t0004.png 이미지

[Table 5] Key Words of Cluster No.2

KGOHCL_2018_v18n6_69_t0005.png 이미지

[Table 6] Key Words of Cluster No.3

KGOHCL_2018_v18n6_69_t0006.png 이미지

[Table 7] Key Words of Cluster No.4

KGOHCL_2018_v18n6_69_t0007.png 이미지

References

  1. McLuhan, M., Understanding media: The extension of man, New York: New American Library, 1964
  2. Steuer, J., "Defining virtual reality: Dimensions determining telepresence.", Journal of Communication, Vol. 42, No. 4, pp. 73-93, 1992. https://doi.org/10.1111/j.1460-2466.1992.tb00812.x
  3. Shin, H., An Examination of Point of View in VR Contents, Proceedings of The Animation Society of Korea, Vol.2016, No.6, pp183-188, 2016.
  4. Lim, I., Woo, T., Exploratory Research on Virtual Reality Contents Design Methods based on Head Mounted Device, Journal of Korean Society of Media & Arts, Vol.14, No.4, pp.91-106, 2016.
  5. VR/AR Trend, Hebronstar Strategy Consultants, 2018.
  6. C. Foster, C. Wheelock, Research Report: Virtual Reality for Consumer Markets, Tractica, 2015.
  7. VR industry researchof KoreaIITP, 2016.
  8. Shin, S., Lee, D., Choi, Y., A Study on applicable UI Design of Rhythm Game in Virtual Reality Devices using Gazed based Input Processing and Virtual Line - Using Gear VR, PROCEEDINGS OF HCI KOREA 2017, Vol.2017, No.2, pp714-717, 2017.
  9. Jung, J., VR-gaming Makes a Real School Design, Journal of Korean Institute of Educational Facilities, Vol.25 No.2, pp.17-21, 2018.
  10. Kim, Y., Yoon, Y., Oh, T., Hwangbo, Y., Hwang, J., Real-time VR Strategy Chess Game using Motion Recognition, Journal of Digital Contents Society, Vol.18, No.1, pp1-7, 2017. https://doi.org/10.9728/dcs.2017.18.1.1
  11. Lee, B., Jin, J., Track of HMD VR-based simulation game that reflects the physical force, Proceedings of The Institute of Electronics and Information Engineers, Vol.2015, No.6, pp.1326-1327, 2015.
  12. Jung, G., Bang, J., A study on how to reduce Cybersickness in Virtual Reality Game Development, Proceedings of Korea Society of Computer Information, pp.155-158, 2018.
  13. Seol, J., Evaluation of satisfaction through immersive 3D simulation game Pilot program for VR, Journal of Digital Design, Vol.16 No.4, pp. 144-154, 2016.
  14. Jung, Y., Woo, T., Study of VR Content Classification Methodology and Design Methodology as Games - Based on literature "unity virtual reality project", Journal of Korean Society of Media and Arts, Vol.15 No.6, pp. 63-75, 2017.
  15. Jung, E., A Study on the Uncanny of VR(virtual reality)game - Based on Mori Masahiro's Uncanny Valley Phenomenon, Proceeding of The Animation Society of Korea, Vol.2016 No.06, pp. 189-194, 2016.
  16. Kim, K., Lee, Ju., Differences of Fun and Immersion according to Game Viewpoint in VR Environment, Proceeding of The HCI Society of Korea, Vol.2018, No.1, pp. 929-932, 2018.
  17. Kim, J., Byoen, H., Lee, S., Enhancement of User Understanding and Service Value Using Online Reviews, Journal of information systems, Vol.20, No.2, pp.21-36, 2014. https://doi.org/10.5859/KAIS.2011.20.2.21
  18. Yu, D., Lim, G., The Effect of the Quantity and Direction of online Replys on Word-Of-Mouth for Movie Choice, Proceedings of Korea Society of IT Services, Vol.2014, No.추계, pp.429-432, 2014.
  19. Bae, J., Kim, B., Shim, B., Simultaneous Effect between eWOM and Revenues: Korea Movie Industry, ASIA MARKETING JOURNAL, Vol.12, No.2, pp.1-25, 2010
  20. Chun, M., Credibility of e-WOM in Travel Industry, and Its Influence in WOM Effect, Journal of The Korea Contents Association, Vol.11, No.5, pp.424-432, 2011. https://doi.org/10.5392/JKCA.2011.11.5.424
  21. Park, Y., Choi, W.,Effects of a Electronic Word of Mouth on a Purchase Decision, Global Business Administration Review, Vol.13, No.3, pp.333-353, 2013.
  22. Jo, Y., Kim, S.,Effects of Directionality and Type of Online e-WOM on Purchase Intention and Moderating Role of Regulatory Focus, Asia-pacific journal of multimedia services convergent with art, humanities, and sociology, Vol.8, No.1, pp.121-131, 2018.
  23. Cha, T., Lee, Kyoung., Acceptance of Online Word-of-Mouth on Internet-Focus on Online Feedback System of Online Shopping Mall, ADVERTISING RESEARCH, Vol.- No.72, pp.223-252, 2006.
  24. Dave, K., Lawrence, S., Pennock, D. M., Mining the Peanut Gallery: Opinion Extraction and Semantic Classification of Product Reviews, Proceedings of the 12th International Conference on World Wide Web, pp.519-528, 2003.
  25. Kim, T., Lee, S., An Analysis of the User Experience in Storytelling-based Games through Grounded Theory, PROCEEDINGS OF HCI KOREA 2017, Vol.2017 No.2, pp.699-702, 2017.
  26. Kang, H., Yong, H., Hwang, H., A Study of Factors Influencing Helpfulness of Game Reviews: Analyzing STEAM Game Review Data, Journal of Korea Game Society, Vol.17, No.3, pp.33-44, 2017. https://doi.org/10.7583/JKGS.2017.17.3.33
  27. Ahn, S., Game Review Text Mining by The Hit Cluster: Focused on Steam Review, Proceedings of Korea Society of IT Services, Vol.2017, No.1, pp.460-464, 2017.
  28. Jung, J., Jeon, Y., Cho, N., Analysis of game product reviews using topic modeling and emotional analysis, proceedings of Korean Operations Research And Management Society, Vol.2017, No.4, pp.5692-5703, 2017.
  29. Delen, D., Real-World Data Mining: Applied Business Analytics and Decision Making, Financial Times Press, 2014.
  30. Kwak, G., Social Network Analysis, Cheongram, 2014.
  31. Nam, S., Yoo, H., Shin, D., User Experience in Virtual Reality Games: the Effect of Presence on Enjoyment, Vol.24 No.3, pp.85-125, 2017.
  32. Lombard, M., Ditton, T. B., Crane, D., Davis, B.,Gil-Egui, G., Horvath, K., Rossman, J., Park, S., Measuring Presence: A Literature-based Approach to the Development of a Standardized Parper-and-pencil Instrument, Presentation at PRESENCE 2000: The 3rd International Workshop on Presence, pp.27-28, 2000.
  33. Steam Hardware & Software Survey: May 2018, STEAM, 2018.