
تعداد نشریات | 11 |
تعداد شمارهها | 226 |
تعداد مقالات | 2,281 |
تعداد مشاهده مقاله | 3,485,951 |
تعداد دریافت فایل اصل مقاله | 2,554,307 |
روشها و معیارهای سنجش تجربه معماری در مطالعات نور روز | ||
معماری و شهرسازی پایدار | ||
مقاله 1، دوره 12، شماره 1 - شماره پیاپی 23، تیر 1403، صفحه 1-20 اصل مقاله (1.78 M) | ||
نوع مقاله: مقاله پژوهشی | ||
شناسه دیجیتال (DOI): 10.22061/jsaud.2023.9559.2125 | ||
نویسندگان | ||
پگاه پایه دار اردکانی1؛ یوسف گرجی مهلبانی* 2؛ عبدالحمید قنبران3 | ||
1دانشجوی دکتری، معماری، دانشکده معماری و شهرسازی، دانشگاه بینالمللی امام خمینی(ره)، قزوین، ایران | ||
2استاد، دانشکده معماری و شهرسازی، دانشگاه بین المللی امام خمینی (ره، قزوین، ایران. | ||
3دانشیار، معماری، دانشکده معماری و شهرسازی، دانشگاه تربیت دبیر شهید رجایی، تهران، ایران. | ||
تاریخ دریافت: 18 دی 1401، تاریخ بازنگری: 06 اردیبهشت 1402، تاریخ پذیرش: 25 مرداد 1402 | ||
چکیده | ||
مقدمه: در پژوهشهای بسیاری بر بهرهگیری از نور روز در فضاهای داخلی، به دلیل مزایا و تأثیرات مثبت آن تأکید شده است. یکی از مهمترین این تأثیرات، تجارب گوناگونی است که کاربران در برخورد با متغیرهای وابسته به نور روز دارند. هدف از پژوهش حاضر شناخت روش ها، معیارها و ابزارهای قابل اتکا برای سنجش تجربه فضایی کاربران (متغیر وابسته) در مقابل متغیرهای مستقل وابسته به نور روز است و با بهره گیری از روش کیفیِ مرور ساختاریافته، به توصیف، تحلیل و ترکیب مقالات پژوهشی و معتبر موجود، از سال 2012 تا ماه جولای سال 2023 می پردازد. یافته های حاصل نشان می دهد که میتوان تجربه انسان در برابر نور روز را در شش گروه فیزیولوژیکی، نوروفیزیولوژیکی، هیجانی، رفتاری-انگیزشی، شناختی و بصری تقسی مبندی کرد. پژوهشگران برای سنجش آنها از روش های پیمایشی، آزمایشگاهی، مشاهده ای، بررسی موردی و یا ترکیب آنها استفاده کرده اند. روش تحقیق: پرکاربردترین ابزار در روش پیمایشی پرسشنامه های خودارزیابی هستند، اما سنجش تجارب عینی فیزیولوژیکی و نوروفیزیولوژیکی، امکان بهره مندی از ابزارها و حسگرهایی را به وجود آورده است که موجب ارتباط میان معماری و حوزه های مختلف علوم زیست-پزشکی به ویژه علوم اعصاب شده است. نتایج و بحث: در این روش داده های به دست آمده از سنجش فعالیت های مغزی، وضعیت قلب، پوست، حرکات چشم و سر، با به کارگیری حسگرهای EEG، ECG، GSR، PPG، ردیابی چشم و سر به هیجانات فرد و کسب تجربه معماری نسبت داده شده است. در مقالات مورد بررسی بیشترین تمایل پژوهشگران به استفاده از فناوری های مرتبط با واقعیت مجازی و تصاویر رندر 360 درجه برای نمایش محرک به آزمون شوندگان است. به نظر می رسد به کارگیری یادگیری ماشینی و الگوریتمهای آن برای تحلیل دادههای گردآوری شده، به منظور ایجاد مدلهای پیشبینی رفتارها و تجربیات فضایی انسانها در مطالعات نور روز رو به گسترش است. نتیجه گیری: بطور کلی نتایج حاصل از این تحقیق میتواند با مرور و تحلیل دستاوردهای امروز و بسترهای موجود برای تحقیقات آینده، زمینه ساز انجام مطالعات گسترده در این زمینه شود. | ||
کلیدواژهها | ||
تجربه معماری؛ نور روز؛ مرور ساختاریافته؛ علوم اعصاب | ||
عنوان مقاله [English] | ||
Methods and Criteria for Architectural Experience Assessment in Daylight Studies | ||
نویسندگان [English] | ||
Pegah Payedar-Ardakani1؛ Yousef Gorji-Mahlabani2؛ Abdul Hamid Ghanbaran3 | ||
1PhD candidate, of Architecture, Faculty of Architecture and Urban Planning, Imam Khomeini International University, Qazvin, Iran | ||
2Full Professor, Faculty of Architecture and Urban Planning, Imam Khomeini International University, Qazvin, Iran. | ||
3Associate Professor, Faculty of Architecture and Urban Planning, Shahid Rajaee Teacher Training University, Tehran, Iran | ||
چکیده [English] | ||
Many studies have emphasized the use of daylight in the interior, due to its benefits and positive effects; one of the most significant of which is the users'' various experiences of daylight-dependent factors. The present study aims to identify reliable methods, criteria, and tools to assess the users’ spatial experience (dependent variable) of daylight-dependent factors (independent variables). To this end, the qualitative method of structured review is applied to describe, analyze, and combine the existing authentic research published from 2012 to July, 2023. The findings reveal that the human experience of daylight can be divided into six physiological, neurophysiological, emotional, behavioral-motivational, cognitive, and visual groups, and researchers assess them through surveys, experiments, observations, case study or a combination of them. Self-assessment questionnaires are the most widely used tools in the survey method. However, assessing physiological and neurophysiological objective experiences has provided the opportunity to apply tools and sensors making it possible to integrate architecture with various fields of biomedical sciences, particularly neuroscience. In this method, the data obtained from the assessment of brain activities, heart status, skin, eye and head movements using sensors such as EEG, ECG, GSR, PPG, and eye and head tracking devices, are attributed to the person’s emotions and his acquisition of architectural experience. In the reviewed articles, researchers mostly tend to use technologies related to virtual reality and 360-degree rendering of images to show the stimuli to the subjects. Also, it seems that the use of machine learning and its algorithms to analyze the collected data, in order to create prediction models of human behaviors and spatial experiences in daylight studies, is expanding. Reviewing and analyzing today’s achievements and the existing platforms for future research, as the results of the present study, can ground extensive studies in this field. | ||
کلیدواژهها [English] | ||
Architectural experience, daylight, systematic review, neuroscience | ||
مراجع | ||
#Abd-Alhamid, Fedaa, et al. (2019). Developing an Innovative Method for Visual Perception Evaluation in a Physical-Based Virtual Environment. Building and Environment, Volume 162, 106278, 1-39. DOI: 10.1016/j.buildenv.2019.106278. Azzazy, Sameh; Ghaffarianhosseini, Amirhosein; GhaffarianHosseini, Ali; Naismith, Nicola & Doborjeh, Zohreh (2021). A critical review on the impact of built environment on users’ measured brain activity. Architectural Science Review, Volume 64, Issue 4, 319-335. DOI: 10.1080/00038628.2020.1749980. Bakker, Iris; Van Der Voordt, Theo; Vink, Peter. & Boon, Jan De (2014). Pleasure, Arousal, Dominance: Mehrabian and Russell Revisited. Curr Psychol 33, 405–421. DOI:10.1007/s12144-014-9219-4. Barrett, L. F., & Bar, M. )2009(. See it with Feeling: Affective Predictions during Object Perception. Philosophical Transactions of the Royal Society B: Biological Sciences, 364 (1521): 1325–1334. DOI:10.1098%2Frstb.2008.0312. Bokharaei, Saleheh & Nasar, Jack (2016). Perceived Spaciousness and Preference in Sequential Experience. Human Factors, Vol. 58, No. 7, 1069–1081. DOI: 10.1177/0018720816650068. Brown, S., Gao, X., Tisdelle, L., Eickhoff, S. B., & Liotti, M. (2011). Naturalizing Aesthetics: Brain Areas for Aesthetic Appraisal Across Sensory Modalities. NeuroImage, 58(1), 250–258. DOI:10.1016/j.neuroimage.2011.06.012. Chamilothori, et al. (2019a). Subjective and Physiological Responses to Façade and Sunlight Pattern Geometry in Virtual Reality. Building and Environment, 144-155. DOI:10.1016/j.buildenv.2019.01.009. Chamilothori, Kynthia; Wienold, Jan & Andersen, Marilyne (2019b). Adequacy of Immersive Virtual Reality for the Perception of Daylit Spaces: Comparison of Real and Virtual Environments. , LEUKOS, 15:2-3, 203-226, DOI:10.1080/15502724.2017.1404918. Chamilothori, et al. (2022a). Regional Differences in the Perception of Daylit Scenes Across Europe Using Virtual Reality. Part II: Effects of Façade and Daylight Pattern Geometry. LEUKOS, 18 (3), 316-340. DOI:10.1080/15502724.2021.1999257. Chamilothori, et al. (2022b). Subjective and Physiological Responses towards Daylit Spaces with Contemporary Façade Patterns in Virtual Reality: Influence of Sky Type, Space Function, and latitude. Journal of Environmental Psychology, 82, 101839, 1-21. DOI:10.1016/j.jenvp.2022.101839. Charland, L. C. (2005). The Heat of Emotion. Valence and the Demarcation Problem. J. Conscious. Stud, 12, 82–102. https://www.ingentaconnect.com/content/imp/jcs/2005/00000012/f0030008/art00005#Refs. Chowdhury, Sajal; Noguchi, Masa & Doloi, Hemanta (2020). Defining Domestic Environmental Experience for Occupants’ Mental Health and Wellbeing. Designs 4 (26), 1-17. DOI:10.3390/designs4030026. Coburn, A., et al. (2020). Psychological and Neural Responses to Architectural Interiors. Cortex, 126, 217-241. DOI:10.1016/j.cortex.2020.01.009. Daneshgarmoghaddam, Golrokh & Eslampou, Marmar (2013). Study of the Affordance Theory Based on Gibson’s Point of View and Its Effects on Studies of Human-Built Environment. Armanshahr Architecture & Urban Development. Volume 5, Issue 9, 73-86. https://www.armanshahrjournal.com/article_33213.html?lang=en. [in Persian] Dombeck, D.A. & Reiser, M.B. (2012). Real Neuroscience in Virtual Worlds. Curr. Opin. Neurobiol. 22 (1), 3-10. DOI: 10.1016/j.conb.2011.10.015. Dravigne, A.; Waliczek, T.M.; Lineberger, R.D. & Zajicek, J.M. (2008). The Effect of Live Plants and Window Views of Green Spaces on Employee Perceptions of Job Satisfaction. HortScience 43 (1), 183-187. DOI:10.21273/HORTSCI.43.1.183. Eberhard, John P. (2008). Brain landscape: The Coexistence of Neuroscience and Architecture. New York: Oxford University Press. Ergan, Semiha; Shi, Zhuoya & Yu, Xinran (2018). Towards Quantifying Human Experience in the Built Environment: A Crowdsourcing Based on Experiment to Identify Influential Architectural Design Features, Journal of Building Engineering, 51-59. DOI:10.1016/j.jobe.2018.07.004. Ergan, et al. (2019). Quantifying Human Experience in Architectural Spaces with Integrated Virtual Reality and Body Sensor Networks. Computing in Civil Engineering, 33(2), 1-13. DOI:10.1061/(ASCE)CP.1943-5487.0000812. Fathy, Fatma; Mansour, Yasser; Sabry, Hanan; Rafat, Mostafa & Wagdy, Ayman (2023). Virtual reality and machine learning for predicting visual attention in a daylit exhibition space: A proof of concept. Ain Shams Engineering Journal, 14, 102098, 1-19. DOI: 10.1016/j.asej.2022.102098. Flynn J.E., Spencer T.J., Martyniuk O. & Hendrick C. (1973). Interim Study of Procedures for Investigate the Effect of Light on Impression and Behavior. J Illum Eng Soc, 3(87), 87-94. DOI:10.1080/00994480.1973.10732231. Ghorbanshiroudi, Shohreh & Abbas Ghorbani (2011). Sensation seeking among positive and negative test standardization Panas. Journal of Educational Psychology, Volume 2, Issue 4, 77-93. https://sanad.iau.ir/en/Article/953728. [in Persian] Gökaslan, Ali & Erkan, İlker (2020). A Cognitive Investigation of Interior Effects of Window Sizes. New Design Ideas, Vol.4, No.2, 138-150. http://jomardpublishing.com/UploadFiles/Files/journals/NDI/v4n2/Gokaslan_Erkan.pdf. Goldhagen, S.W. (2017). How the Built Environment Shapes Our Lives. NY: Harper Collins Publisher. Heydarian, Arsalan, et al. (2017). Towards User Centered Building Design: Identifying End-user Lighting Preferences via Immersive Virtual Environments. Automation in Construction, 81, 56-66. DOI: 10.1016/j.autcon.2017.05.003. Hu, Ming, et al. (2021). Exploring a Sustainable Building’s Impact on Occupant Mental Health and Cognitive Function in a Virtual Environment. Scientific Reports, 11(5644), 1-13. DOI: 10.1038/s41598-021-85210-9. Jakubiec, J. & Srisamranrungr, T. (2021). Long-term Visual Quality Evaluations Correlate with Climate-based Daylighting Metrics in Tropical Offices – A Field Study. Lighting Res. Technol, 0, 1-25. DOI: 10.1177/1477153520926528. Jam, Fatemeh; Azemati, Hamid Reza; Ghanbaran, Abdolhamid & Saleh Sedghpour, Saleh (2019). Identification and Classification of Architects’ Mental Patterns in Aesthetic Judgment of Residential Building Façade, Using the Q- Factor Analysis. Journal of Architectural Thought, Volume 3, Issue 5, 141-154. DOI: 10.30479/at.2019.10578.1198. [in Persian] Jeong, J. (2014). Neuroarchitecture: Is it a New Vision or ad Hoc Solution? Design through Digital Fabrication. Archit. Inst. Korea Spec. Feature Rev. Archit. Build. Sci (58), 12-15. https://scholar.google.com/scholar_lookup?journal=Archit.+Inst.+Korea+Spec.+Feature+Rev.+Archit.+Build.+Sci.&title=Neuroarchitecture:+Is+it+a+new+vision+or+ad+hoc+solution?+Design+through+Digital+Fabrication&author=J.+Jeong&volume=58&publication_year=2014&pages=12-15&. Kim, S.; Park, H., & Choo, S. (2021). Effects of Changes to Architectural Elements on Human Relaxation Arousal Responses: Based on VR and EEG. Int. J. Environ. Res. Public Health, 18(4305), 1-28. DOI:10.3390/ijerph18084305. Kong, Zhe, et al. (2022). Subjective and Physiological Responses towards Interior Natural Lightscape: Influences of Aperture Design, Window Size and Sky Condition. Buildings, 12(1612), 1-16. DOI:10.3390/buildings12101612. Ma, Nan; Chau, Hing-wah; Zhou, Jin & Noguchi, Masa (2017). Structuring the Environmental Experience Design Research Framework through Selected Aged Care Facility Data Analyses in Victoria. Sustainability, 9, 2172, 1-16. DOI:10.3390/su9122172. Mehrabian, A., & Russell, J.A. (1974). The Basic Emotional Impact of Environments. Perceptual and Motor Skills. 1974; 38 (1), 283-301. DOI:10.2466/pms.1974.38.1.283. Moosavian, Somayeh; Amin Zadeh, Behnaz & Shahcheraghi, Azadeh (2020). Explaining the conceptual model of the effective components on the formation of the architectural experience. Journal of Architectural Thought, Volume 3, Issue 6, 59-75. DOI: 10.30479/at.2019.11332.1290. [in Persian] Moosavian, Somayeh (2022). Explaining a Conceptual Model of Components Affecting Aesthetic Experience of Architecture in Cognitive Sciences. Journal of Bagh-e Nazar, volume 19, Issue 107, 41-56. DOI: 10.22034/bagh.2021.279519.4849. [in Persian] Moscoso, Claudia & Matusiak, Barbara (2018). Aesthetic Perception of a Small Office with Different Daylighting Systems. Indoor and Built Environment, 0(0), 1-16. DOI: 10.1177/1420326X17711490. Moscoso, Claudia, et al. (2021). Window Size Effects on Subjective Impressions of Daylit Spaces: Indoor Studies at High Latitudes Using Virtual Reality. Leukos, the journal of the Illuminating Engineering Society, 1-23. DOI: 10.1080/15502724.2020.1726183. Mostafavi, Armin; Cruz-Garza, Jesus & Kalantari, Saleh (2023). Enhancing lighting design through the investigation of illuminance and correlated color Temperature's effects on brain activity: An EEG-VR approach. Journal of Building Engineering, 75, 106776, 1-18. DOI: 10.1016/j.jobe.2023.106776. Noguchi, Masa; Lan, Li; Chowdhury, Sajal & Yang, Wei (2022). Chapter 11: Environmental Experience Design Research Spectrum for Energy and Human Well-being. Editor Muhammad Asif, Handbook of Energy and Environmental Security. Academic Press, 207-229. DOI:10.1016/B978-0-12-824084-7.00002-3. Painter, Birgit, et al. (2016). Evaluation of a Mixed Method Approach for Studying User Interaction with Novel Building Control Technology. Energies, 215, 9 (3). DOI:10.3390/en9030215. Pallasmaa, Juhani (2007). The Eyes of Skin: Architecture and the Senses. UK: Wiley. Pallasmaa, Juhani (2014). Space, Place and Atmosphere. Emotion and Peripherical Perception in Architectural Experience. Lebenswelt, 4(1), 230-245. DOI:10.13130/2240-9599/4202. Papale, Paolo, et al. (2016). When Neuroscience ‘Touches’ Architecture: From Hapticity to a Supramodal Functioning of the Human Brain. Front. Psychol. 7:866, 1-8. DOI:10.3389/fpsyg.2016.00866. Pastore, Luisa & Andersen, Marilyne (2020). The Influence of Façade and Space Design on Building Occupants’ Indoor Experience. Journal of Building Engineering, 46 (103663), 1-16. DOI: 10.1016/j.jobe.2021.103663. Presti, P.; Ruzzon, D.; Avanzini, P.; Caruana, F.; Rizzolatti, G. & Vecchiato, G. (2022). Measuring Arousal and Valence Generated by the Dynamic Experience of Architectural forms in Virtual Environments. Sci Rep. 4;12(1):13376, 1-12, Doi: 10.1038/s41598-022-17689-9. PMCID: PMC9352685. Ru, Taotao, et al. (2023). Temporal tuning of illuminance and spectrum: Effect of a full-day dynamic lighting pattern on well-being, performance and sleep in simulated office environment. Building and Environment: 228, 109842. DOI: 10.1016/j.buildenv.2022.109842. Russell, James (1980). A Circumplex Model of Affect. Journal of Personality and Social Psychology, 39(6), 1161-1178. DOI:10.1037/h0077714. Sawyer, Azadeh (2022). Imagining Daylight: Evaluating Participants’ Perception of Daylight in Work Environments. Indoor and Built Environment, 0(0), 96-108. DOI: 10.1177/1420326X20977600. Venugopal, Vinita; Roberts, Adam Charles; Kwok, Kian-Woon; Christopoulos, George I. & Soh, Chee Kiong (2020). Employee Experiences in Underground Workplaces: A Qualitative Investigation. Ergonomics, DOI:10.1080/00140139.2020.1780306 Vijayan, Vickram Thevar & Embi, Mohamed Rashid (2019). Probing Phenomenological Experiences through Electroencephalography Brainwave Signals in Neuroarchitecture Study. International Journal of Built Environment and Sustainability, 6 (3), 11-20. DOI:10.11113/ijbes. v6. n3.360. Warriner, Amy Beth; Kuperman, Victor & Brysbaert, Marc (2013). Norms of Valence, Arousal, and Dominance for 13,915 English Lemmas. Behav Res, 45: 1191- 1207. DOI: 10.3758/s13428-012-0314-x. Zhang, Rui, et al. (2020). Effect of Indoors Artificial Lighting Conditions on Computer-Based Learning Performance. International Journal of Environmental Research and Public Health, 17(2537), 1-11. DOI:10.3390/ijerph17072537. Zou, Zhengbo & Ergan, Semiha (2019). Where Do We Look? An Eye-Tracking Study of Architectural Features in Building Design. In: Mutis, I., Hartmann, T. (eds) Advances in Informatics and Computing in Civil and Construction Engineering. Cham: Springer, 439-446. DOI:10.1007/978-3-030-00220-6_52. Zou, Zhengbo & Ergan, Semiha (2021). Evaluating the Effectiveness of Biometric Sensors and their Signal Features for Classifying Human Experience in Virtual Environments. Advanced Engineering Informatics, 49(101358), 1-11. DOI: 10.1016/j.aei.2021.101358. Zwart Van der, Johan; Voordt Van der & Theo J. M. (2015). Pre-Occupancy Evaluation of Patient Satisfaction in Hospitals. Health Environments Research & Design Journal, Vol. 9(1) 110-124. DOI:10.1177/1937586715595506.# | ||
آمار تعداد مشاهده مقاله: 869 تعداد دریافت فایل اصل مقاله: 802 |