@inproceedings{ea5139fe18b94663982cad42b7fcc1bd,
title = "Stream segregation: Utilizing harmonic variance in auditory graphs",
abstract = "The sonification of line charts, from which auditory line charts are produced is a common sonification strategy used today. This paper examines timbre as a potentially useful sonic dimension for relaying information in sonified line charts. A user-study is presented in which 43 participants were tasked with identifying particular trends among multiple distractor trends using sonified data. These sonified data comprised frequency-mapped trends isolated with the gradual enrichment of harmonic content, using a sawtooth wave as a guideline for the overall harmonic structure. Correlations between harmonic content and identification success rates were examined. Results from the study indicate that the majority of participants consistently chose the sample with the most harmonics when deciding which sonified trend best represented the visual equivalent. However, this confidence decreased with each harmonic addition to the point of complete uncertainty when choosing between a sample with 3 harmonics and a sample with 4 harmonics.",
author = "Joe Fitzpatrick and Flaithri Neff",
note = "Publisher Copyright: {\textcopyright} Proceedings of the 15th Sound and Music Computing Conference: Sonic Crossings, SMC 2018. All rights reserved.; 15th Sound and Music Computing Conference, SMC 2018 ; Conference date: 04-07-2018 Through 07-07-2018",
year = "2018",
language = "English",
series = "Proceedings of the 15th Sound and Music Computing Conference: Sonic Crossings, SMC 2018",
publisher = "Sound and Music Computing network",
pages = "52--59",
editor = "Anastasia Georgaki and Areti Andreopoulou",
booktitle = "Proceedings of the 15th Sound and Music Computing Conference",
}