Subjective evaluation of music hall acoustics: Response of expert and non-expert users

被引:25
|
作者
Galiana, Miguel [1 ]
Llinares, Carmen [1 ]
Page, Alvaro [2 ]
机构
[1] Univ Politecn Valencia, Dept Org Empresas, Escuela Tecn Super Ingn Edificac, Valencia 46022, Spain
[2] Univ Politecn Valencia, Inst Biomecan Valencia, Valencia 46022, Spain
关键词
Music hall; Acoustics; Semantic differential; User-oriented; Subjective preference; Kansei engineering; DIFFERENTIAL SEMANTICS; PRODUCT FORM; KANSEI; DESIGN; SYSTEM; DEFINITION; PREFERENCE; INTERIOR; CRITERIA; MODEL;
D O I
10.1016/j.buildenv.2012.06.008
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Many studies have attempted to measure human response in music halls in order to determine acoustic quality. However, all these works have used parameters defined by experts. This approach may be an important drawback since users who have to evaluate such concepts may not understand or misunderstand parameters which do not correspond to their own conceptual structure. This paper attempts to establish a methodology to define valid evaluation scales for different collectives and determine evaluation criteria related to the overall assessment of music hall acoustics. It analyses music hall acoustics from the user's perspective and investigates the differences of perception between experts and non-experts through Semantic Differential within the frame of Kansei Engineering. The research was carried out through a field study in 17 auditoria of the Valencia Region (Spain). Perceptions regarding the acoustic quality of these venues were studied in a group of non-experts (236) and other of experts (74). Differences of perception between both collectives were identified and analysed. The main factors characterising the subjective preference of each group were determined (5 factors for non-experts and 6 for experts) and their influence on the global acoustic assessment was quantified. Furthermore, predicting perceptual models were built and the utility of the methodology was tested through the semantic profiles of two venues not included in the above analysis. This methodology was useful for studying music hall acoustics from the viewpoints of experts and non-experts and it may also enable optimization of design features of music halls. (c) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1 / 13
页数:13
相关论文
共 50 条
  • [21] Image quality assessment by expert and non-expert viewers
    Heynderickx, I
    Bech, S
    [J]. HUMAN VISION AND ELECTRONIC IMAGING VII, 2002, 4662 : 129 - 137
  • [22] Expert and Non-expert Opinion About Technological Unemployment
    Toby Walsh
    [J]. International Journal of Automation and Computing, 2018, (05) : 637 - 642
  • [23] Expert and non-expert knowledge of loosely structured environments
    Fontaine, S
    Edwards, G
    Tversky, B
    Denis, M
    [J]. SPATIAL INFORMATION THEORY, PROCEEDINGS, 2005, 3693 : 363 - 378
  • [24] Expert and Non-expert Opinion About Technological Unemployment
    Walsh T.
    [J]. International Journal of Automation and Computing, 2018, 15 (05) : 637 - 642
  • [25] Evaluation of positional cranial deformities: the non-expert perspective
    Zaeh, S.
    Naros, A.
    Krimmel, M.
    Kluba, S.
    [J]. INTERNATIONAL JOURNAL OF ORAL AND MAXILLOFACIAL SURGERY, 2021, 50 (02) : 179 - 184
  • [26] Interpretable Artificial Agents and Trust: Supporting a Non-Expert Users Perspective
    Papagni, Guglielmo
    Koeszegi, Sabine
    [J]. CULTURALLY SUSTAINABLE SOCIAL ROBOTICS, 2020, 335 : 653 - 662
  • [27] Interactive Robot Trajectory Planning With Augmented Reality for Non-expert Users
    Lee, Joosun
    Lim, Taeyhang
    Kim, Wansoo
    [J]. INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2024, 22 (07) : 2263 - 2272
  • [28] Tagging Metaheuristics with Problem-Oriented Labels for Non-Expert Users
    Tian, Ye
    Sun, Maihai
    Yang, Shangshang
    Zhang, Xingyi
    [J]. 2022 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI), 2022, : 6 - 13
  • [29] Usability of MyFireWatch for non-expert users measured by eye-tracking
    Brady, Danielle
    Ferguson, Neil
    Adams, Matthew
    [J]. AUSTRALIAN JOURNAL OF EMERGENCY MANAGEMENT, 2018, 33 (04): : 28 - 34
  • [30] The Advantages of Predictive Interval Forecasts for Non-Expert Users and the Impact of Visualizations
    Savelli, Sonia
    Joslyn, Susan
    [J]. APPLIED COGNITIVE PSYCHOLOGY, 2013, 27 (04) : 527 - 541