Audiovisual characteristics, patterns, and facial-expression responses in an under-viaduct green space
- 1School of Design, East China Normal University, Shanghai, China
- 2Shanghai Tongji Urban Planning and Design Institute, Co. Ltd., Shanghai, China
Abstract
Introduction: Under-viaduct green spaces (UVGSs) combine natural landscape elements with persistent transport-related visual and acoustic cues, yet their audiovisual characteristics and experiential implications remain insufficiently understood.
Methods: This exploratory study examined a UVGS in Shanghai using three recorded audiovisual scenarios representing different landscape and traffic conditions. Forty-nine participants viewed the stimuli in a controlled laboratory setting. Visual features were quantified through semantic segmentation, acoustic conditions through field sound-level measurements and 1-s sound-source prominence coding, and facial-expression responses through DeepFace-derived scores sampled at 1-s intervals. Hierarchical clustering was used to identify recurring audiovisual patterns.
Results: The three scenarios differed clearly in visual composition, overall sound level, and sound-source composition, but exploratory component-wise Friedman tests showed no significant scenario-level differences in any of the seven relative DeepFace output components after Holm adjustment. Six audiovisual patterns were identified, with descriptive variation in facial-expression scores across the patterns. Because pattern occurrence was strongly associated with scenario and temporal position, these differences were interpreted descriptively rather than as independent pattern effects.
Discussion: These scores represent relative facial-expression outputs rather than direct measures of subjective emotional states. Overall, the findings show that audiovisual experience in UVGSs is better understood by considering visual context, sound-source composition, and their co-occurrence rather than isolated environmental indicators.
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BibTeX
@article{yin2026audiovisual,
title = {{Audiovisual characteristics, patterns, and facial-expression responses in an under-viaduct green space}},
author = {Yuting Yin and Feng Wang and Chengci Li and Dongbo Ma},
journal = {Frontiers in Psychology},
year = {2026},
month = oct,
doi = {10.3389/fpsyg.2026.1970940},
url = {https://doi.org/10.3389/fpsyg.2026.1970940},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Audiovisual characteristics, patterns, and facial-expression responses in an under-viaduct green space
AU - Yuting Yin
AU - Feng Wang
AU - Chengci Li
AU - Dongbo Ma
PY - 2026
DA - 2026/10/21
JO - Frontiers in Psychology
DO - 10.3389/fpsyg.2026.1970940
UR - https://doi.org/10.3389/fpsyg.2026.1970940
AB - Introduction: Under-viaduct green spaces (UVGSs) combine natural landscape elements with persistent transport-related visual and acoustic cues, yet their audiovisual characteristics and experiential implications remain insufficiently understood. Methods: This exploratory study examined a UVGS in Shanghai using three recorded audiovisual scenarios representing different landscape and traffic conditions. Forty-nine participants viewed the stimuli in a controlled laboratory setting. Visual features were quantified through semantic segmentation, acoustic conditions through field sound-level measurements and 1-s sound-source prominence coding, and facial-expression responses through DeepFace-derived scores sampled at 1-s intervals. Hierarchical clustering was used to identify recurring audiovisual patterns. Results: The three scenarios differed clearly in visual composition, overall sound level, and sound-source composition, but exploratory component-wise Friedman tests showed no significant scenario-level differences in any of the seven relative DeepFace output components after Holm adjustment. Six audiovisual patterns were identified, with descriptive variation in facial-expression scores across the patterns. Because pattern occurrence was strongly associated with scenario and temporal position, these differences were interpreted descriptively rather than as independent pattern effects. Discussion: These scores represent relative facial-expression outputs rather than direct measures of subjective emotional states. Overall, the findings show that audiovisual experience in UVGSs is better understood by considering visual context, sound-source composition, and their co-occurrence rather than isolated environmental indicators.
SN - 1664-1078
ER -