首页 | 本学科首页   官方微博 | 高级检索  
     


The sonification space: A reference system for sonification tasks
Affiliation:1. MSHS-T USR3414, University of Toulouse and CNRS, Toulouse, France;2. STMS Ircam-CNRS-UPMC, 1, place Igor Stravinsky, 75004 Paris, France;3. Renault – Cognitive Ergonomics & HMI, 1 avenue du Golf, 78084 Guyancourt, France;4. CLLE UMR5263, University of Toulouse and CNRS, Toulouse, France;1. Department of Information Engineering, University of Padova, Via Gradenigo 6/B, 35131 Padova, Italy;2. Department of Robotics, Brain and Cognitive Sciences, Fondazione Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy;1. ETH Zurich, Sensory-Motor Systems Lab, Tannenstrasse 1, CH-8092 Zurich, Switzerland;2. Drexel University, 3141 Chestnut St, Philadelphia, PA 19104, United States;1. Universita degli Studi di Milano, Department of Computer Science, Via Comelico 39, 20135 Milano, Italy;2. EveryWare Technologies, Via Comelico 39, 20135 Milano, Italy;3. Dyson School of Design Engineering, Imperial College London, South Kensington, SW7 2AZ, London, UK;1. Laboratoire de Neurosciences Cognitives, UMR 7291, CNRS – Aix-Marseille Université, France;2. Brain and Language Research Institute, CNRS – Aix-Marseille Université, France;3. Laboratoire de Mécanique et d’Acoustique, CNRS, UPR 7051, Aix-Marseille Université, Centrale Marseille, France
Abstract:Sonification is a fairly new term to scientists who are unaware of its multiple use cases. Even if some general definitions of the concept of sonification are commonly accepted, heterogeneous techniques – significantly different as it regards approaches, means and goals – are available. In this work we propose a reference system useful to interpret already-existing sonification instances and to plan new sonification tasks. This work aims to present a reference system for sonification using the inherent properties in the sonic output rather than the data itself. Validation has been conducted by automatically analyzing available experiments and examples, and placing them on the proposed sonification space, according to time-granularity and abstraction-level dimensions. This work can constitute the starting point for future research on computer-assisted sonification. It will be beneficial to a wide range of readers, in particular those from different disciplines looking at new ways to present and analyze data.
Keywords:Sonification  Audio  Sound parameters  Data visualization
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号