2005
DOI: 10.1145/1101530.1101550
|View full text |Cite
|
Sign up to set email alerts
|

Data collection and analysis techniques for evaluating the perceptual qualities of auditory stimuli

Abstract: This paper describes a general methodological framework for evaluating the perceptual properties of auditory stimuli. The framework provides analysis techniques that can ensure the effective use of sound for a variety of applications including virtual realit) and data sonification systems. Specifically, we discuss data collection techniques for the perceptual qualities of single auditory stimuli including identification tasks, context-based ratings, and attribute ratings. In adllition, we present methods for c… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
13
0

Year Published

2005
2005
2022
2022

Publication Types

Select...
5
4

Relationship

1
8

Authors

Journals

citations
Cited by 21 publications
(13 citation statements)
references
References 14 publications
0
13
0
Order By: Relevance
“…This possibility of presenting movement data by a variety of sound dimensions requires a systematic approach to designing an auditory display (Effenberg, 2000a). However, auditory displays were often not systematically evaluated (Dubus, 2012) but, rather, selected in an ad hoc manner (Bonebright, Miner, Goldsmith, & Caudell, 2005). Arbitrarily designed displays may constrain motor learning by reduced motivation, distraction, or misinterpretation.…”
Section: Design Aspects Of Auditory Feedbackmentioning
confidence: 99%
“…This possibility of presenting movement data by a variety of sound dimensions requires a systematic approach to designing an auditory display (Effenberg, 2000a). However, auditory displays were often not systematically evaluated (Dubus, 2012) but, rather, selected in an ad hoc manner (Bonebright, Miner, Goldsmith, & Caudell, 2005). Arbitrarily designed displays may constrain motor learning by reduced motivation, distraction, or misinterpretation.…”
Section: Design Aspects Of Auditory Feedbackmentioning
confidence: 99%
“…Paired comparisons have analytic superiority, giving the finest dissimilarity granularity [45], and would be preferred if people were computers. For data sets beyond 30-50 items, however, user judgments deteriorate due to memory drift and fatigue, and the resulting inaccuracy and noise greatly reduces data reliability [2]. Structurally and analytically, cluster sorting and paired comparisons do converge on the same result [45].…”
Section: Mds Tool To Visualize Structure and Optimize Spacingmentioning
confidence: 99%
“…We need to develop more efficient means for calibration and stress testing. Possibilities include established techniques like Pathfinder [50] and hierarchical cluster analysis [13] (see also [2]) and their modification or combination into iteration-friendly processes.…”
Section: Mds Tool To Visualize Structure and Optimize Spacingmentioning
confidence: 99%
“…The experimental approach used similarity rating methods, free-form sound identification, and measures of perceived sound quality. The experiments were designed in collaboration with psychoacoustic experts including Terri Bonebright and Tim Goldsmith [Bonebright et al 1998]. The experiments validated that the waveletbased sound synthesis technique created perceptually convincing sounds both within and without a context.…”
Section: Research Results Of Icad Papermentioning
confidence: 93%