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  • 标题:Point Estimation with Markers for Effective Mobile Auditory Graphs
  • 本地全文:下载
  • 作者:Zico Pratama Putra ; Deni Setiawan ; Bagus Priambodo
  • 期刊名称:International Journal of Emerging Technologies in Learning (iJET)
  • 印刷版ISSN:1863-0383
  • 出版年度:2020
  • 卷号:15
  • 期号:08
  • 页码:116-129
  • DOI:10.3991/ijet.v15i08.12347
  • 出版社:Kassel University Press
  • 摘要:While researchers have performed numerous studies to understand the human interpretation of visual graphs in reading, comprehending and interpreting displayed data; visually impaired (VI) students still face many challenges that prevent them from fully benefiting from these graphs in class. In this study, we conducted a test with 20 students to track the work described in studies in an expanded scenario. As we have tried to answer the question as to whether adding multi-reference mapping of sonification to auditory graphs could improve the of point estimation accuracy in non-visual condition. We also emphasize the efficiency of the performance of multi-reference graphs to make them as efficient as mapping using single pitch. Our proposed study improved performance of multi-reference task completion time by having fewer reference note. The results help provide empirical evidence that the multi-reference mode provides more accurate results than the single-pitch mode and confirms that adding contexts to auditory graphs could be used for better comprehension.
  • 关键词:auditory graph; collaborative work; ubiquitous and mobile devices
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