Sonification Design : From Data to Intelligible Soundfields / David Worrall.
Worrall, David, author.
2019
TK7881.4 .W65 2019
Available Online

Linked e-resources

Linked Resource Online Access
Concurrent users Unlimited
Authorized users Authorized users
Document Delivery Supplied Can lend chapters, not whole ebooks

Details

Title Sonification Design : From Data to Intelligible Soundfields / David Worrall.
Author Worrall, David, author.
ISBN 9783030014971 (electronic book)
3030014975 (electronic book)
9783030014964
3030014967
9783030014988
3030014983
DOI https://doi.org/10.1007/978-3-030-01497-1
https://doi.org/10.1007/978-3-030-01
Published Cham, Switzerland : Springer, [2019]
Language English
Description 1 online resource (303 pages)
Other Standard Identifiers 10.1007/978-3-030-01497-1 doi
10.1007/978-3-030-01
Call Number TK7881.4 .W65 2019
Dewey Decimal Classification 006.5
Summary The contemporary design practice known as data sonification allows us to experience information in data by listening. In doing so, we understand the source of the data in ways that support, and in some cases surpass, our ability to do so visually. In order to assist us in negotiating our environments, our senses have evolved differently. Our hearing affords us unparalleled temporal and locational precision. Biological survival has determined that the ears lead the eyes. For all moving creatures, in situations where sight is obscured, spatial auditory clarity plays a vital survival role in determining both from where the predator is approaching or to where the prey has escaped. So, when designing methods that enable listeners to extract information from data, both with and without visual support, different approaches are necessary. A scholarly yet approachable work by one of the recognized leaders in the field of auditory design, this book will - Lead you through some salient historical examples of how non-speech sounds have been used to inform and control people since ancient times. - Comprehensively summarize the contemporary practice of Data Sonification. - Provide a detailed overview of what information is and how our auditory perceptions can be used to enhance our knowledge of the source of data. - Show the importance of the dynamic relationships between hearing, cognitive load, comprehension, embodied knowledge and perceptual truth. - Discuss the role of aesthetics in the dynamic interplay between listenability and clarity. - Provide a mature software framework that supports the practice of data sonification design, together with a detailed discussion of some of the design principles used in various examples. David Worrall is an internationally recognized composer, sound artist and interdisciplinary researcher in the field of auditory design. He is Professor of Audio Arts and Acoustics at Columbia College Chicago and the elected president of the International Community for Auditory Display (ICAD), the leading organization in the field since its inception over 25 years ago. Code and audio examples for this book are available at https://github.com/david-worrall/springer/ .
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Description based on online resource; title from digital title page (viewed on September 10, 2019).
Series Human-computer interaction series.
Available in Other Form Sonification Design : From Data to Intelligible Soundfields.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
Data Sonification: A Prehistory
Sonification: An Overview
Knowledge and Information
Data and Computational Design
Environment and Aesthetics
Sonification Software
Sonipy: A Heterogeneous Software Framework for Data Sonification
Examples of Experimental Sonification Designs
Audification Experiments:Market Data Correlation
Experiments:Parameter-Mapping Sonification of Tick Data
Experiments: The Polymedia Design of Digital Network Metadata.

Browse Subjects

Show more subjects...

Statistics

from
to
Export