Measurement of perceived window lift sound quality via factor analysis

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Hyeonho Jo - , Seoul National University (Author)
  • Yeon June Kang - , Seoul National University (Author)
  • Seonghyeon Kim - , Hyundai Motor Group (Author)
  • Jongman Chae - , PyeongHwa Automot, Test Validat Team (Author)

Abstract

The aim of this study was to develop a sound quality index for assessing the sound of window lift modules during operation. Window lift operations were classified as "ascent" and "descent," and sound quality indices were developed for each operation and compared. A subjective test was performed by using six models and 12 samples based on a semantic differential method in which 76 jurors participated. In order to quantify the subjective sound quality preferences, correlations between factors were determined through factor analysis. The sound quality preferences from the subjective test were analyzed through regression analysis. For ascent, the relevant factors were determined to be described by luxuriousness and uniformity. For descent, the relevant factors were explained by luxuriousness and strength. Reliable equations that relate each of these factors with high preference were developed for both operations. A sound quality index was developed through regression analysis between the factors. Correlations between each factor and previously developed sound quality metrics were also analyzed to finally derive an equation that explains the preference in terms of sound quality metrics. (C) 2016 Institute of Noise Control Engineering.

Details

Original languageEnglish
Pages (from-to)432-443
Number of pages12
JournalNoise control engineering journal
Volume64
Issue number4
Publication statusPublished - 2016
Peer-reviewedYes
Externally publishedYes

External IDs

Scopus 84983681787
ORCID /0000-0002-0292-2944/work/142234951

Keywords

Research priority areas of TU Dresden

DFG Classification of Subject Areas according to Review Boards

Subject groups, research areas, subject areas according to Destatis

ASJC Scopus subject areas

Keywords

  • NOISE, LOUDNESS, MODEL