IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i14p3975-d250662.html
   My bibliography  Save this article

Comparison of Response Scales as Measures of Indoor Environmental Perception in Combined Thermal and Acoustic Conditions

Author

Listed:
  • Wonyoung Yang

    (Department of Architectural Engineering, Hanyang University, Seoul 04763, Korea)

  • Hyeun Jun Moon

    (Department of Architectural Engineering, Dankook University, Yongin 16890, Korea)

  • Jin Yong Jeon

    (Department of Architectural Engineering, Hanyang University, Seoul 04763, Korea)

Abstract

Response scales are widely used to assess the personal experience of sensation and perception in built environments, and have a great impact on the quality of the responses. The purpose of this study was to investigate the effects of response scales on human sensation and perception in moderate indoor environments. Four different response scales were compared under three room temperatures (19.0 °C, 24.5 °C, and 30.0 °C) and five acoustic stimuli (ambient noise, 42 and 61 dBA × water sounds and traffic noise): a bipolar seven-point scale according to ISO 10551:1995, a unipolar 11-point scale according to ISO/TS 15666:2003, these two scales combined for each sensory comfort assessment, and a bipolar visual analogue scale. The degree of relative differentiation based on indoor physical factors made no significant difference across the four response scales. Therefore, the effects of physical factors on human response could be assessed by using any of the four scales tested in this study, with a statistical significance at p < 0.05 in moderate environments. The choice of response scale would depend not only on the type of physical stimulus but also on the question of sensation or perception. The reliability of each response scale was different according to the subjective attributes. The bipolar visual analogue scale was subjectively preferred by the respondents.

Suggested Citation

  • Wonyoung Yang & Hyeun Jun Moon & Jin Yong Jeon, 2019. "Comparison of Response Scales as Measures of Indoor Environmental Perception in Combined Thermal and Acoustic Conditions," Sustainability, MDPI, vol. 11(14), pages 1-26, July.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:14:p:3975-:d:250662
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/14/3975/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/14/3975/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Taleghani, Mohammad & Tenpierik, Martin & Kurvers, Stanley & van den Dobbelsteen, Andy, 2013. "A review into thermal comfort in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 201-215.
    2. Buratti, C. & Palladino, D. & Ricciardi, P., 2016. "Application of a new 13-value thermal comfort scale to moderate environments," Applied Energy, Elsevier, vol. 180(C), pages 859-866.
    3. Francesco Fassio & Aldo Fanchiotti & Roberto De Lieto Vollaro, 2014. "Linear, Non-Linear and Alternative Algorithms in the Correlation of IEQ Factors with Global Comfort: A Case Study," Sustainability, MDPI, vol. 6(11), pages 1-15, November.
    4. Singh, Manoj Kumar & Mahapatra, Sadhan & Atreya, S.K., 2011. "Adaptive thermal comfort model for different climatic zones of North-East India," Applied Energy, Elsevier, vol. 88(7), pages 2420-2428, July.
    5. Anna DeCastellarnau, 2018. "A classification of response scale characteristics that affect data quality: a literature review," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(4), pages 1523-1559, July.
    6. David V. Budescu & Mark I. Appelbaum, 1981. "Variance Stabilizing Transformations and the Power of the F Test," Journal of Educational and Behavioral Statistics, , vol. 6(1), pages 55-74, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wonyoung Yang & Jin Yong Jeon, 2021. "Usability of Visual Analogue Scales in Assessing Human Perception of Sound with University Students Using a Web-Based Tablet Interface," Sustainability, MDPI, vol. 13(16), pages 1-16, August.
    2. Wonyoung Yang & Jin Yong Jeon, 2020. "Effects of Correlated Colour Temperature of LED Light on Visual Sensation, Perception, and Cognitive Performance in a Classroom Lighting Environment," Sustainability, MDPI, vol. 12(10), pages 1-16, May.
    3. Haouès-Jouve Sinda & Lemonsu Aude & Gauvrau Benoit & Amossé Alexandre & Can Arnaud & Carrissimo Bertrand & Gaudio Noémie & Hidalgo Julia & Lopez-Rieu Claudia & Chouillou Delphine & Richard Isabelle, 2022. "Cross-analysis for the assessment of urban environmental quality: An interdisciplinary and participative approach," Environment and Planning B, , vol. 49(3), pages 1024-1047, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Buratti, C. & Palladino, D. & Ricciardi, P., 2016. "Application of a new 13-value thermal comfort scale to moderate environments," Applied Energy, Elsevier, vol. 180(C), pages 859-866.
    2. Enescu, Diana, 2017. "A review of thermal comfort models and indicators for indoor environments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1353-1379.
    3. Ren, Zhengen & Chen, Dong, 2018. "Modelling study of the impact of thermal comfort criteria on housing energy use in Australia," Applied Energy, Elsevier, vol. 210(C), pages 152-166.
    4. Michał Piasecki & Małgorzata Fedorczak-Cisak & Marcin Furtak & Jacek Biskupski, 2019. "Experimental Confirmation of the Reliability of Fanger’s Thermal Comfort Model—Case Study of a Near-Zero Energy Building (NZEB) Office Building," Sustainability, MDPI, vol. 11(9), pages 1-25, April.
    5. Yang, Liu & Yan, Haiyan & Lam, Joseph C., 2014. "Thermal comfort and building energy consumption implications – A review," Applied Energy, Elsevier, vol. 115(C), pages 164-173.
    6. Domenico Palladino & Iole Nardi & Cinzia Buratti, 2020. "Artificial Neural Network for the Thermal Comfort Index Prediction: Development of a New Simplified Algorithm," Energies, MDPI, vol. 13(17), pages 1-27, September.
    7. Claudia Valderrama-Ulloa & Lorena Silva-Castillo & Catalina Sandoval-Grandi & Carlos Robles-Calderon & Fabien Rouault, 2020. "Indoor Environmental Quality in Latin American Buildings: A Systematic Literature Review," Sustainability, MDPI, vol. 12(2), pages 1-19, January.
    8. Niculaescu, Corina E. & Sangiorgi, Ivan & Bell, Adrian R., 2023. "Does personal experience with COVID-19 impact investment decisions? Evidence from a survey of US retail investors," International Review of Financial Analysis, Elsevier, vol. 88(C).
    9. S. Brent Jackson & Kathryn T. Stevenson & Lincoln R. Larson & M. Nils Peterson & Erin Seekamp, 2021. "Outdoor Activity Participation Improves Adolescents’ Mental Health and Well-Being during the COVID-19 Pandemic," IJERPH, MDPI, vol. 18(5), pages 1-18, March.
    10. Jon Roozenbeek & Stefan M. Herzog & Michael Geers & Ralf Kurvers & Mubashir Sultan & Sander van der Linden, 2022. "Susceptibility to misinformation is consistent across question framings and response modes and better explained by myside bias and partisanship than analytical thinking," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 17(3), pages 547-573, May.
    11. Felderer, Barbara & Repke, Lydia & Weber, Wiebke & Schweisthal, jonas & Bothmann, Ludwig, 2024. "Predicting the Validity and Reliability of Survey Questions," OSF Preprints hkngd, Center for Open Science.
    12. Anatolijs Borodinecs & Jurgis Zemitis & Arturs Palcikovskis, 2022. "HVAC System Control Solutions Based on Modern IT Technologies: A Review Article," Energies, MDPI, vol. 15(18), pages 1-22, September.
    13. Taleghani, Mohammad, 2018. "Outdoor thermal comfort by different heat mitigation strategies- A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2011-2018.
    14. Ribeiro, Thatiana Jessica da Silva & Mady, Carlos Eduardo Keutenedjian, 2022. "Comparison among exergy analysis methods applied to a human body thermal model," Energy, Elsevier, vol. 239(PE).
    15. Djamila, Harimi, 2017. "Indoor thermal comfort predictions: Selected issues and trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 569-580.
    16. Wang, Nan & Wang, Julian & Feng, Yanxiao, 2022. "Systematic review: Acute thermal effects of artificial light in the daytime," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
    17. Burillo, Daniel & Chester, Mikhail V. & Pincetl, Stephanie & Fournier, Eric, 2019. "Electricity infrastructure vulnerabilities due to long-term growth and extreme heat from climate change in Los Angeles County," Energy Policy, Elsevier, vol. 128(C), pages 943-953.
    18. repec:cup:judgdm:v:17:y:2022:i:3:p:547-573 is not listed on IDEAS
    19. Chih-Hong Huang & Hsin-Hua Tsai & Hung-chen Chen, 2020. "Influence of Weather Factors on Thermal Comfort in Subtropical Urban Environments," Sustainability, MDPI, vol. 12(5), pages 1-23, March.
    20. Choi, Young Rok & Phan, Phillip H. & Choi, Jaepil, 2020. "Formal governance, interfirm coordination, and performance in partnerships: An empirical investigation of a mediation model," European Management Journal, Elsevier, vol. 38(3), pages 413-424.
    21. Calogera Chiara Bordenca & Laura Giammanco & Alessandro Albanese & Mirko Lo Faso & Domenico Rigoglioso, 2019. "Bioclimatic architecture of residential buildings," RIVISTA DI STUDI SULLA SOSTENIBILITA', FrancoAngeli Editore, vol. 0(2 Suppl.), pages 179-194.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2019:i:14:p:3975-:d:250662. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.