Overview of auditory representations in human-machine interfaces

Author:

Csapó Ádám1,Wersényi György2

Affiliation:

1. Budapest University of Tech. and Economics / MTA SZTAKI, Hungary

2. Széchenyi István University, Hungary

Abstract

In recent years, a large number of research projects have focused on the use of auditory representations in a broadened scope of application scenarios. Results in such projects have shown that auditory elements can effectively complement other modalities not only in the traditional desktop computer environment but also in virtual and augmented reality, mobile platforms, and other kinds of novel computing environments. The successful use of auditory representations in this growing number of application scenarios has in turn prompted researchers to rediscover the more basic auditory representations and extend them in various directions. The goal of this article is to survey both classical auditory representations (e.g., auditory icons and earcons) and those auditory representations that have been created as extensions to earlier approaches, including speech-based sounds (e.g., spearcons and spindex representations), emotionally grounded sounds (e.g., auditory emoticons and spemoticons), and various other sound types used to provide sonifications in practical scenarios. The article concludes by outlining the latest trends in auditory interface design and providing examples of these trends.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

Cited by 45 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Game accessibility for visually impaired people: a review;Soft Computing;2024-07-20

2. EchoTap: Non-Verbal Sound Interaction with Knock and Tap Gestures;International Journal of Human–Computer Interaction;2024-06-03

3. Exploring Audio Icons for Content-Based Navigation in Voice User Interfaces;Proceedings of the 5th International Conference on Conversational User Interfaces;2023-07-19

4. Co11ab: Augmenting Accessibility in Synchronous Collaborative Writing for People with Vision Impairments;CHI Conference on Human Factors in Computing Systems;2022-04-29

5. Design and Evaluation of Accessible Collaborative Writing Techniques for People with Vision Impairments;ACM Transactions on Computer-Human Interaction;2022-01-16

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3