Point Estimation with Markers for Effective Mobile Auditory Graphs
DOI:
https://doi.org/10.3991/ijet.v15i08.12347Keywords:
auditory graph, collaborative work, ubiquitous and mobile devicesAbstract
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.
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Published
2020-04-24
How to Cite
Putra, Z. P., Setiawan, D., Priambodo, B., & Anasanti, M. D. (2020). Point Estimation with Markers for Effective Mobile Auditory Graphs. International Journal of Emerging Technologies in Learning (iJET), 15(08), pp. 116–129. https://doi.org/10.3991/ijet.v15i08.12347
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