• Title/Summary/Keyword: Pitch of building

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Causes of Cyber Sickness of VR Contents: An Experimental Study on the Viewpoint and Movement (VR 콘텐츠의 사이버 멀미 유발 요인: 시점과 움직임의 효과에 대한 실험 연구)

  • Jung, Ji-Young;Cho, Kwang-Su;Choi, Jinhae;Choi, Junho
    • The Journal of the Korea Contents Association
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    • v.17 no.4
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    • pp.200-208
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    • 2017
  • Despite a rapid market growth in VR, cyber sickness has become the most serious problem in terms of user experience. The aim of this study is to verify whether there are differences in user's perception of cyber sickness by the point-of-view and the movement in VR contents. An experimental testing of game playing with VR headset was conducted on the effects of two conditions: first-person and third-person views in the point-of-view condition, and yaw - pitch rotations in the head movement condition. The results showed that cyber sickness worsened in the first-person point-of-view and in the yaw rotation movement. Point-of-view and movement had main effects on the cyber sickness, but an interaction effect between point-of-view and movement was not found. Based on the findings, along with reducing VR sickness, we proposed practical implications for VR contents planning for building balanced VR user experience. Positive VR experience can be reinforced through visual design, multi-modal interface design, and experience marketing for the optimal level of contents immersion. A future research was suggested on the roll rotation for diverse content genre development.

HummingBird: A Similar Music Retrieval System using Improved Scaled and Warped Matching (HummingBird: 향상된 스케일드앤워프트 매칭을 이용한 유사 음악 검색 시스템)

  • Lee, Hye-Hwan;Shim, Kyu-Seok;Park, Hyoung-Min
    • Journal of KIISE:Databases
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    • v.34 no.5
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    • pp.409-419
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    • 2007
  • Database community focuses on the similar music retrieval systems for music database when a humming query is given. One of the approaches is converting the midi data to time series, building their indices and performing the similarity search on them. Queries based on humming can be transformed to time series by using the known pitch detection algorithms. The recently suggested algorithm, scaled and warped matching, is based on dynamic time warping and uniform scaling. This paper proposes Humming BIRD(Humming Based sImilaR mini music retrieval system) using sliding window and center-aligned scaled and warped matching. Center-aligned scaled and warped matching is a mixed distance measure of center-aligned uniform scaling and time warping. The newly proposed measure gives tighter lower bound than previous ones which results in reduced search space. The empirical results show the superiority of this algorithm comparing the pruning power while it returns the same results.