IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i1p233-d194979.html
   My bibliography  Save this article

Use of Electroencephalography (EEG) for the Analysis of Emotional Perception and Fear to Nightscapes

Author

Listed:
  • Mintai Kim

    (Landscape Architecture Program, Virginia Tech, Blacksburg, VA 24060, USA)

  • SangHyun Cheon

    (Department of Urban Planning and Design, Hongik University, Seoul 04066, Korea)

  • Youngeun Kang

    (Research Lab, Site Planning Co., Ltd., Busan 48505, Korea)

Abstract

As the necessity for safety and aesthetic of nightscape have arisen, the importance of nightscapes (i.e., nighttime landscape) planning has garnered the attention of mainstream consciousness. Therefore, this study was to suggest the guideline for nightscape planning using electroencephalography (EEG) technology and survey for recognizing the characteristics of a nightscape. Furthermore, we verified the electroencephalography (EEG) method as a tool for landscape evaluation. Therefore, this study analyzed the change of relative alpha wave and relative beta wave and perceived fear of participants depending on twelve nightscape settings (four types of settings: Built nightscape images group with an adult; Built nightscape images groups without an adult; Nature-dominant nightscape images with an adult; and Nature-dominant nightscape images without an adult). Our findings indicate that the most fearful nightscape setting was recorded in Built nightscape images groups without an adult figure in perceived fear result depending on four types of nightscape settings. In Nature-dominant nightscape images, on the other hand, the nightscape setting with an adult figure was more fearful than the setting without an adult. The interaction effect between landscape type (built and nature-dominant) and adult presence towards perceived fear was verified and it showed that the image with adult affects landscape type. For electroencephalography (EEG) results, several brain activities in the relative alpha and beta wave showed significant differences depending on nightscape settings, which situates electroencephalography (EEG) as an invaluable tool for evaluating landscapes. Based on our physiological electroencephalography (EEG) experiment, we provide a new analytic view of the nightscape. The approach we utilized enables a deeper understanding of emotional perception and fear among human subjects by identifying the physical environment which impacts how they experience nightscapes.

Suggested Citation

  • Mintai Kim & SangHyun Cheon & Youngeun Kang, 2019. "Use of Electroencephalography (EEG) for the Analysis of Emotional Perception and Fear to Nightscapes," Sustainability, MDPI, vol. 11(1), pages 1-15, January.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:1:p:233-:d:194979
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/1/233/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/1/233/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Briana N. Berkowitz & Kimberly E. Medley, 2017. "Home Gardenscapes as Sustainable Landscape Management on St. Eustatius, Dutch Caribbean," Sustainability, MDPI, vol. 9(8), pages 1-20, July.
    2. Li Xu & Shang-Chia Chiou, 2018. "An Exploration of the Cultural Landscape Model of Zhuge Village," Sustainability, MDPI, vol. 10(9), pages 1-18, September.
    3. Xueting Jin & Yu Li & Jinzhou Zhang & Ji Zheng & Huiping Liu, 2017. "An Approach to Evaluating Light Pollution in Residential Zones: A Case Study of Beijing," Sustainability, MDPI, vol. 9(4), pages 1-12, April.
    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. SangHyun Cheon & Soyoung Han & Mintai Kim & Yoonku Kwon, 2019. "Comparison between Daytime and Nighttime Scenery Focusing on Restorative and Recovery Effect," Sustainability, MDPI, vol. 11(12), pages 1-17, June.
    2. Schwanen, Tim, 2020. "Towards decolonial human subjects in research on transport," Journal of Transport Geography, Elsevier, vol. 88(C).
    3. Junfang Xie & Binyi Liu & Mohamed Elsadek, 2021. "How Can Flowers and Their Colors Promote Individuals’ Physiological and Psychological States during the COVID-19 Lockdown?," IJERPH, MDPI, vol. 18(19), pages 1-15, September.
    4. Zijiao Zhang & Kangfu Zhuo & Wenhan Wei & Fu Li & Jie Yin & Liyan Xu, 2021. "Emotional Responses to the Visual Patterns of Urban Streets: Evidence from Physiological and Subjective Indicators," IJERPH, MDPI, vol. 18(18), pages 1-20, September.
    5. Yuting Wang & Shujian Wang & Ming Xu, 2021. "The Function of Color and Structure Based on EEG Features in Landscape Recognition," IJERPH, MDPI, vol. 18(9), pages 1-14, May.

    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. Setiani Setiani & Eko Setiawan & Wen-Chi Huang, 2022. "Taneyan Lanjang Shared Home Gardens and Sustainable Rural Livelihoods of Ethnic Madurese in Madura Island, Indonesia," Sustainability, MDPI, vol. 14(10), pages 1-24, May.
    2. Ziyan Wang & Cheng Wang & Zehui Jiang & Tao Hu & Wenjing Han & Chang Zhang & Jiali Jin & Kaiyue Wei & Jiao Zhao & Xinyu Wang, 2020. "Relationship between Rural Settlements’ Plant Communities and Environmental Factors in Hilly Area of Southeast China," Sustainability, MDPI, vol. 12(7), pages 1-17, April.
    3. Jiayi Li & Yongming Xu & Weiping Cui & Meng Ji & Boyang Su & Yuyang Wu & Jing Wang, 2020. "Investigation of Nighttime Light Pollution in Nanjing, China by Mapping Illuminance from Field Observations and Luojia 1-01 Imagery," Sustainability, MDPI, vol. 12(2), pages 1-18, January.
    4. Alicia L. Rihn & Melinda J. Knuth & Bryan J. Peterson & Ariana P. Torres & Julie H. Campbell & Cheryl R. Boyer & Marco A. Palma & Hayk Khachatryan, 2022. "Investigating Drivers of Native Plant Production in the United States Green Industry," Sustainability, MDPI, vol. 14(11), pages 1-17, June.
    5. Paul Opdam, 2018. "Exploring the Role of Science in Sustainable Landscape Management. An Introduction to the Special Issue," Sustainability, MDPI, vol. 10(2), pages 1-6, January.
    6. Ping-Huan Kuo & Hsin-Chuan Chen & Chiou-Jye Huang, 2018. "Solar Radiation Estimation Algorithm and Field Verification in Taiwan," Energies, MDPI, vol. 11(6), pages 1-12, May.
    7. Zuoming Jiang & Derong Lin, 2022. "Genius Loci of Ancient Village from the Perspective of Tourists Experience: Scale Development and Validation," IJERPH, MDPI, vol. 19(8), pages 1-18, April.

    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:1:p:233-:d:194979. 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.