The perceived quality of in-vehicle auditory signals: a structural equation modelling approach

Chia Fen Chi*, Ratna Sari Dewi, Yopie Yutama Surbakti, Dong Yu Hsieh

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

The current study applied Structural Equation Modelling to analyse the relationship among pitch, loudness, tempo and timbre and their relationship with perceived sound quality. Twenty-eight auditory signals of horn, indicator, door open warning and parking sensor were collected from 11 car brands. Twenty-one experienced drivers were recruited to evaluate all sound signals with 11 semantic differential scales. The results indicate that for the continuous sounds, pitch, loudness and timbre each had a direct impact on the perceived quality. Besides the direct impacts, pitch also had an impact on loudness perception. For the intermittent sounds, tempo and timbre each had a direct impact on the perceived quality. These results can help to identify the psychoacoustic attributes affecting the consumers’ quality perception and help to design preferable sounds for vehicles. In the end, a design guideline is proposed for the development of auditory signals that adopts the current study’s research findings as well as those of other relevant research. Practitioner Summary: This study applied Structural Equation Modelling to analyse the relationship among pitch, loudness, tempo and timbre and their relationship with perceived sound quality. The result can help to identify psychoacoustic attributes affecting the consumers’ quality perception and help to design preferable sounds for vehicles.

Original languageEnglish
Pages (from-to)1471-1484
Number of pages14
JournalErgonomics
Volume60
Issue number11
DOIs
Publication statusPublished - 2 Nov 2017

Keywords

  • Semantic differential scale
  • loudness
  • pitch
  • tempo
  • timbre

Fingerprint

Dive into the research topics of 'The perceived quality of in-vehicle auditory signals: a structural equation modelling approach'. Together they form a unique fingerprint.

Cite this