Representation of negative numbers: point estimation tasks using multi-reference sonification mappings

IF 3.5 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE PeerJ Computer Science Pub Date : 2024-08-23 DOI:10.7717/peerj-cs.2275
Zico Pratama Putra, Deni Setiawan
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Abstract

In this study, we examine different approaches to the presentation of Y coordinates in mobile auditory graphs, including the representation of negative numbers. These studies involved both normally sighted and visually impaired users, as there are applications where normally sighted users might employ auditory graphs, such as the unseen monitoring of stocks, or fuel consumption in a car. Multi-reference sonification schemes are investigated as a means of improving the performance of mobile non-visual point estimation tasks. The results demonstrated that both populations are able to carry out point estimation tasks with a good level of performance when presented with auditory graphs using multiple reference tones. Additionally, visually impaired participants performed better on graphs represented in this format than normally sighted participants. This work also implements the component representation approach for negative numbers to represent the mapping by using the same positive mapping reference for the digit and adding a sign before the digit which leads to a better accuracy of the polarity sign. This work contributes to the areas of the design process of mobile auditory devices in human-computer interaction and proposed a methodological framework related to improving auditory graph performance in graph reproduction.
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负数的表示:使用多参考声化映射的点估算任务
在本研究中,我们研究了在移动听觉图形中呈现 Y 坐标的不同方法,包括负数的表示。这些研究既涉及视力正常的用户,也涉及视力受损的用户,因为在一些应用中,视力正常的用户可能会使用听觉图形,例如看不见的股票监控或汽车油耗。研究将多参考声化方案作为提高移动非视觉点估算任务性能的一种手段。研究结果表明,在使用多参考音调的听觉图形呈现时,两种人群都能以良好的成绩完成点估算任务。此外,与视力正常的参与者相比,视障参与者在这种形式的图形上表现得更好。这项工作还实现了负数的分量表示法,通过对数字使用相同的正数映射参考来表示映射,并在数字前添加一个符号,从而提高了极性符号的准确性。这项工作为人机交互中移动听觉设备的设计过程领域做出了贡献,并提出了一个与提高图形再现中的听觉图形性能有关的方法框架。
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来源期刊
PeerJ Computer Science
PeerJ Computer Science Computer Science-General Computer Science
CiteScore
6.10
自引率
5.30%
发文量
332
审稿时长
10 weeks
期刊介绍: PeerJ Computer Science is the new open access journal covering all subject areas in computer science, with the backing of a prestigious advisory board and more than 300 academic editors.
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