Sound-Quality Perception in Hair Dryers: Functional Near-Infrared Spectroscopy Evidence of Left-Lateralized Dorsolateral Prefrontal Cortex Activation

This study investigates how the sound of a hair dryer influences users’ perceptions of its quality, using functional near-infrared spectroscopy (fNIRS) to measure prefrontal cortex (PFC) activation. Eighteen participants were involved in a within-subject evaluation experiment where they assessed the perceived quality of hair dryers with three different sound levels: no sound, low sound, and high sound. The results show that hair dryers with high sound levels were rated as having higher quality and caused greater increases in oxygenated hemoglobin (HbO) concentration in the dorsolateral prefrontal cortex (DLPFC) compared to soundless hair dryers. In contrast, when participants evaluated low-sound hair dryers, differential activation between the left and right hemispheres was observed, with increased left-brain activity. These findings highlight the significant role of multisensory factors, such as sound, in shaping product perception. Moreover, DLPFC activity, especially in the left hemisphere, emerges as a potential marker for evaluating product quality, contributing new insights to the understanding of sensory-driven decision-making in product evaluation.

Authors

Institutions

Publication Details

Journal
Applied Sciences
Published
2025-04-12
DOI
https://doi.org/10.3390/app15084278
Primary Topic
Color perception and design
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sound-Quality Perception in Hair Dryers: Functional Near-Infrared Spectroscopy Evidence of Left-Lateralized Dorsolateral Prefrontal Cortex Activation

Qing‐Xing Qu, Zenggen Ren, Shuang Xu
Applied Sciences
Color perception and design
article

Sound-Quality Perception in Hair Dryers: Functional Near-Infrared Spectroscopy Evidence of Left-Lateralized Dorsolateral Prefrontal Cortex Activation

Qing‐Xing Qu, Zenggen Ren, Shuang Xu
article en

Abstract

This study investigates how the sound of a hair dryer influences users’ perceptions of its quality, using functional near-infrared spectroscopy (fNIRS) to measure prefrontal cortex (PFC) activation. Eighteen participants were involved in a within-subject evaluation experiment where they assessed the perceived quality of hair dryers with three different sound levels: no sound, low sound, and high sound. The results show that hair dryers with high sound levels were rated as having higher quality and caused greater increases in oxygenated hemoglobin (HbO) concentration in the dorsolateral prefrontal cortex (DLPFC) compared to soundless hair dryers. In contrast, when participants evaluated low-sound hair dryers, differential activation between the left and right hemispheres was observed, with increased left-brain activity. These findings highlight the significant role of multisensory factors, such as sound, in shaping product perception. Moreover, DLPFC activity, especially in the left hemisphere, emerges as a potential marker for evaluating product quality, contributing new insights to the understanding of sensory-driven decision-making in product evaluation.

Applied SciencesVol. 15(8)
Taiyuan University of Technology (CN), Northeastern University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 92%
Color perception and design
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Sound-Quality Perception in Hair Dryers: Functional Near-Infrared Spectroscopy Evidence of Left-Lateralized Dorsolateral Prefrontal Cortex Activation — Qing‐Xing Qu, Zenggen Ren, et al. · Applied Sciences (2025) | TGRS Research Map | TGRS