IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Auditory Augmentation

Auditory Augmentation
View Sample PDF
Author(s): Till Bovermann (CITEC, Bielefeld University, Germany), René Tünnermann (CITEC, Bielefeld University, Germany)and Thomas Hermann (CITEC, Bielefeld University, Germany)
Copyright: 2012
Pages: 15
Source title: Innovative Applications of Ambient Intelligence: Advances in Smart Systems
Source Author(s)/Editor(s): Kevin Curran (University of Ulster, UK)
DOI: 10.4018/978-1-4666-0038-6.ch008

Purchase

View Auditory Augmentation on the publisher's website for pricing and purchasing information.

Abstract

With auditory augmentation, the authors describe building blocks supporting the design of data representation tools, which unobtrusively alter the auditory characteristics of structure-borne sounds. The system enriches the structure-borne sound of objects with a sonification of (near) real time data streams. The object’s auditory gestalt is shaped by data-driven parameters, creating a subtle display for ambient data streams. Auditory augmentation can be easily overlaid to existing sounds, and does not change prominent auditory features of the augmented objects like the sound’s timing or its level. In a peripheral monitoring situation, the data stay out of the users’ attention, which thereby remains free to focus on a primary task. However, any characteristic sound change will catch the users’ attention. This article describes the principles of auditory augmentation, gives an introduction to the Reim Software Toolbox, and presents the first observations made in a preliminary long-term user study.

Related Content

Kamel Mouloudj, Vu Lan Oanh LE, Achouak Bouarar, Ahmed Chemseddine Bouarar, Dachel Martínez Asanza, Mayuri Srivastava. © 2024. 20 pages.
José Eduardo Aleixo, José Luís Reis, Sandrina Francisca Teixeira, Ana Pinto de Lima. © 2024. 52 pages.
Jorge Figueiredo, Isabel Oliveira, Sérgio Silva, Margarida Pocinho, António Cardoso, Manuel Pereira. © 2024. 24 pages.
Fatih Pinarbasi. © 2024. 20 pages.
Stavros Kaperonis. © 2024. 25 pages.
Thomas Rui Mendes, Ana Cristina Antunes. © 2024. 24 pages.
Nuno Geada. © 2024. 12 pages.
Body Bottom