Point Estimation with Markers for Effective Mobile Auditory Graphs

Authors

  • Zico Pratama Putra Queen Mary University of London, London E1 4FZ, United Kingdom https://orcid.org/0000-0003-3465-921X
  • Deni Setiawan Queen Mary University of London, London E1 4FZ, United Kingdom
  • Bagus Priambodo Universitas Mercu Buana, Jakarta 11650, Indonesia
  • Mila Desi Anasanti Imperial College London

DOI:

https://doi.org/10.3991/ijet.v15i08.12347

Keywords:

auditory graph, collaborative work, ubiquitous and mobile devices

Abstract


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.

Author Biographies

Zico Pratama Putra, Queen Mary University of London, London E1 4FZ, United Kingdom

School of Electronic Engineering and Computer Science

Deni Setiawan, Queen Mary University of London, London E1 4FZ, United Kingdom

School of Electronic Engineering and Computer Science

Bagus Priambodo, Universitas Mercu Buana, Jakarta 11650, Indonesia

Faculty of Computer Science

Downloads

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

Issue

Section

Papers