RESEARCH PAPER
The effects of interior design on wellness – Eye tracking analysis in determining emotional experience of architectural space. A survey on a group of volunteers from the Lublin Region, Eastern Poland
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1
University of Economics and Innovations of Lublin, Poland
2
Lublin University of Technology, Lublin, Poland
3
Center for Addiction Treatment, Lublin, Poland
4
Medical University, Lublin, Poland
5
Deptartment of Pathology and Laboratory Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick (NJ), USA
Ann Agric Environ Med. 2020;27(1):113-122
KEYWORDS
TOPICS
ABSTRACT
Introduction and objective:
Using the concepts of Ulrich’s theory of supportive design and Malkin’s healing environment, an eye tracking experiment was designed in order to measure respondents’ reactions while looking at visualisations of various interiors, with the aim of verifying whether certain parameters of an interior are related to emotional reactions in terms of positive stimulation, and the sense of security and comfort.
Material and methods:
12 boards were designed, incorporating standard features of an interior, i.e. (1) proportions, (2) lighting, (3) colour scheme of a room, as well as (4) the colours and spatial arrangement of furnishings. Respondents’ reactions were recorded with an eye tracker Tobii TX300 and supplemented by self-descriptions of emotional reactions.
Results:
The results showed that the varying spatial and colour arrangements presented in the interior visualisations provoked different emotional responses, confirmed by pupil reaction parameters, as measured by the eye tracking device.
Conclusions:
Architectural space can have a diverse emotional significance and impact on an individual’s emotional state. This is an important conclusion from the point of view of optimising and creating the so-called supportive and healing environment. The results have implications for the interpretation of the pupil diameter as an index of emotional reactions to different architectural space visualisations. Testing the eye tracker as a method helpful in diagnosing the emotional reactions to features of the interior is justified, and can provide an effective tool for early diagnosis of the impact of architectural space on the well-being of individuals. It can also be a good form of testing the emotional significance of architectural designs before they are implemented.
CONFLICT OF INTEREST
The authors declare that the research was conducted in the
absence of any commercial or financial relationships which
could be construed as creating a potential conflict of interest.
REFERENCES (69)
1.
Sikora J. Nauczanie podstaw architektury wnętrz w kontekście paradygmatu zrównoważonego rozwoju [Teaching the basics of interior design in the context of the sustainable development paradigm]. In: Świtała M, editor. Praca u podstaw. Architektura wnętrz. [Work at the foundation. Interior design] Gdańsk; 2015. p. 75–91 (in Polish).
2.
Ulrich RS. Effects of healthcare interior design on wellness: theory and recent scientific research. J Health Care Interior Des Proc. 1991; 3: 97–109.
3.
Malkin J. Hospital interior architecture: creating healing environments for special patient populations. New York: J. Wiley and Sons, 1992.
4.
Lawson B, Phiri M, Wells-Thorpe J. The Architectural Healthcare Environment and its Effects on Patients Health Outcomes: A report on an NHS Estates Funded Research Project. London: Stationery Office, 2003.
5.
Tantanatewin W, Inkarojrit V. The influence of emotional response to interior color on restaurant entry decision. Int J Hosp Manage 2018; 69: 124–131.
6.
Skałbania B, Gretkowski A. Szpital jako miejsce (nie) przyjazne dziecku – rola proksemiki w procesie leczenia [Hospital as a place (not) friendly to the child – the role of proxemics in the treatment process]. Rocznik Towarzystwa Naukowego Płockiego. 2015; 8: 411–26 (in Polish).
7.
Zybaczynski MV. The colour of architecture, past and present. Urbanism. Arhitectură. Construcţii. 2013; 4: 93–96.
8.
Grzymała-Kozłowski M, Ruszkowska A. Architektura zdrowia [Health Architecture]. Ogólnopolski System Ochrony Zdrowia. 2013; 7: 35–8 (in Polish).
9.
Coyne J, Sibley C. Investigating the Use of Two Low Cost Eye Tracking Systems for Detecting Pupillary Response to Changes in Mental Workload. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 2016; 60(1): 37–41.
10.
Fraser KC, Fors KL, Kokkinakis D, Nordlund A. An analysis of eye-movements during reading for the detection of mild cognitive impairment. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing. 2017 Sept. 7–11; Copenhagen, Denmark. Copenhagen: Association for Computational Linguistic, 2017. p. 1016–1026.
11.
Harezlak K, Kasprowski P, Dzierzega M, Kruk K. Application of Eye Tracking for Diagnosis and Therapy of Children with Brain Disabilities. In: Czarnowski I, Caballero A, Howlett R, Jain L, editors. Intelligent Decision Technologies 2016. Smart Innovation, Systems and Technologies. Vol 57. Springer, Cham; 2016. p. 323–333.
12.
Silva ACA, Varanda CA. Eye-Tracking Technique as an Instrument in the Diagnosis of Autism Spectrum Disorder. Austin J Autism & Relat Disabil. 2017; 3(3): 1047.
13.
Kasprowski P, Harezlak K. Vision Diagnostics and Treatment System for Children with Disabilities. J Healthc Eng. 2018; 10: 9481328.
14.
Vargas-Cuentas NI, Roman-Gonzalez A, Gilman RH, Barrientos F, Ting J, et al. Developing an eye-tracking algorithm as a potential tool for early diagnosis of autism spectrum disorder in children. PLoS One. 2017; 12(11): e0188826.
15.
Tsypes A, Owens M, Gibb BE. Suicidal ideation and attentional biases in children: An eye-tracking study. J Affect Disord. 2017; 222: 133–137.
16.
Hermens F, Flin, R, Ahmed I. Eye movements in surgery: A literature review. J Eye Mov Res. 2013; 6(4): 1–11.
17.
Sánchez-Ferrer ML, Grima-Murcia MD, Sanchez-Ferrer F, Hernandez-Penalver AI, Fernandez-Jover E, et al. Use of eye tracking as an innovative instructional method in surgical human anatomy. J Surg Educ. 2017; 74: 668–673.
18.
Sánchez-Ferrer F, Ramos-Rincón JM, Grima-Murcia MD, Sánchez-Ferrer ML, Sánchez-del Campo F, et al. Utility of eye-tracking technology for preparing medical students in Spain for the summative objective structured clinical examination. J Educ Eval Health Prof. 2017; 14: 27.
19.
Koester T, Brøsted JE, Jakobsen JJ, Malmros HP, Andreasen NK. The Use of Eye-Tracking in Usability Testing of Medical Devices. Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care. 2017; 6(1): 192–199.
20.
Wang X, Kim MJ, Love PE, Kang SC. Augmented Reality in built environment: Classification and implications for future research. Automat Constr. 2013; 32, 1–13.
21.
Uttley J, Simpson J, Quasem H. In: Eye-Tracking in the Real World: Insights About the Urban Environment. Aletta F, Xiao J, (eds). Handbook of Research on Perception-Driven Approaches to Urban Assessment and Design. IGI Global Press. 2018. p. 368–397.
22.
Kucewicz MT, Dolezal J, Kremen V, Berry BM, Miller LR, et al. Pupil size reflects successful encoding and recall of memory in humans. Sci Rep. 2018; 8: 4949.
23.
Hess EH, Polt JM. Pupil size as related to interest value of visual stimuli. Science. 1960; 132: 349–350.
24.
Onorati F, Barbieri R, Mauri M, Russo V, Mainardi L. Characterization of affective states by pupillary dynamics and autonomic correlates. Front Neuroeng. 2013; 6: 9.
25.
Bradley MM, Lang PJ. Memory, emotion, and pupil diameter: Repetition of natural scenes. Psychophysiology. 2015; 52: 1186–93.
26.
Eckstein MK, Guerra-Carrillo B, Miller Singley AT, Bunge SA. Beyond eye gaze: What else can eyetracking reveal about cognition and cognitive development? Dev Cogn Neurosci. 2017; 25: 69–91.
27.
Henderson RR, Bradley MM, Lang PJ. Emotional imagery and pupil diameter. Psychophysiology. 2018; 55(6): e13050.
28.
Partala T, Jokiniemi M, Surakka V. Pupillary responses to emotionally provocative stimuli. In: Proceedings of the 2000 symposium on Eye tracking research and applications. ACM. 2000; 123–9.
29.
Ferrari V, deCesarei A, Mastria S, Lugli L, Barone G, et al. Novelty and emotion: Pupillary and cortical responses during viewing of natural scenes. Biol Psychol. 2015; 113: 75–82.
30.
Reimer J, McGinley MJ, Liu Y, Rodenkirch C, Wang Q, et al. Pupil fluctuations track rapid changes in adrenergic and cholinergic activity in cortex. Nat Commun. 2016; 7: 13289.
31.
Joshi S, Li Y, Kalwani RM, Gold JI. Relationships between Pupil Diameter and Neuronal Activity in the Locus Coeruleus, Colliculi, and Cingulate Cortex. Neuron. 2016; 89: 221–234.
32.
Alghowinem S, AlShehri M, Goecke R, Wagner M. Exploring Eye Activity as an Indication of Emotional States Using an Eye-Tracking Sensor. In: Chen L, Kapoor S, Bhatia R, editors. Intelligent Systems for Science and Information. Studies in Computational Intelligence. Vol. 542, Springer, Cham; 2014. p. 261–76.
33.
Henderson RR, Bradley MM, Lang PJ. Modulation of the initial light reflex during affective picture viewing. Psychophysiology. 2014; 51: 815–818.
34.
Bardeen J, Daniel TA. An Eye-Tracking Examination of Emotion Regulation, Attentional Bias, and Pupillary Response to Threat Stimuli. Cogn Ther Res. 2017; 41: 853.
35.
Bradley MM, Sapigao, RG, Lang PJ. Sympathetic ANS modulation of pupil diameter in emotional scene perception: Effects of hedonic content, brightness, and contrast. Psychophysiology. 2017; 54(10), 1419–1425.
36.
Gabay S, Pertzov Y, Henik A. Orienting of attention, pupil size, and the norepinephrine system. Atten Percept Psychophys. 2011; 73(1): 123–129.
37.
Chmielewski WX, Mückschel M, Ziemssen T, Beste C. The norepinephrine system affects specific neurophysiological subprocesses in the modulation of inhibitory control by working memory demands. Hum Brain Mapp. 2017; 38(1): 68–81.
38.
Pedrotti M, Mirzaei MA, Tedescho A, Chardonnet JR, Merienne F, et al. Automatic Stress Classification With Pupil Diameter Analysis. Int J Hum Comput Int. 2014; 30(3): 220–236.
39.
Piquado T, Isaacowitz D, Wingfield A. Pupillometry as a Measure of Cognitive Effort in Younger and Older Adults. Psychophysiology. 2010; 47(3): 560–569.
40.
Gidlöf, K, Wallin A, Dewhurst R, Holmqvist K. Gaze Behaviour During Decision Making in a Natural Environment. J Eye Mov Res. 2013; 6(1): 3, 1–14.
41.
Van der Wel P, Van Steenbergen H. Pupil dilation as an index of effort in cognitive control tasks: A review. Psychon Bull Rev. 2018;
https://doi.org/10.3758/s13423....
42.
Carle FC, Ali EN, Lueck CJ, Maddess T, Martin K, et al. The Pupillary Response to Color and Luminance Variant Multifocal Stimuli. Invest Ophthalmol Vis Sci. 2016; 57(12): 4558.
43.
Krejtz K, Duchowski AT, Niedzielska A, Biele C, Krejtz I. Eye tracking cognitive load using pupil diameter and microsaccades with fixed gaze. PLoS ONE. 2018; 13(9): e0203629.
44.
Kardan O, Berman MG, Yourganov G, Schmidt J, Henderson JM. Classifying mental states from eye movements during scene viewing. J Exp Psychol Hum Percept Perform. 2015; 41(6): 1502–1514.
45.
Oliva M, Anikin A. Pupil dilation reflects the time course of emotion recognition in human vocalizations. Sci Rep. 2018; 8: 4871.
46.
Tuszyńska-Bogucka W, Borys M, Dzieńkowski M, Kwiatkowski B, Kocki W, et. al. Use of Eye Tracking For Designing of Learning Spaces. ICERI2018 Proceedings. 2018. p. 5360–5368.
https://doi.org/10.21125/iceri....
48.
Merritt LS, Keegan A, Mercer PW. Artifact Management in Pupillometry. Nurs Res. 1994; 43: 56–9.
49.
Bergamin O, Kardon RH. Latency of the Pupil Light Reflex: Sample Rate, Stimulus Intensity, and Variation in Normal Subjects. Invest Ophthalmol Vis Sci. 2003; 44(4): 1546–54.
50.
Slanzi G, Balazs JA, Velásquez JD. Combining eye tracking, pupil dilation and EEG analysis for predicting web users click intention. Inf Fusion. 2017; 35: 51–57.
51.
Żuk P. Vitruvius – Le Corbusier. Czasopismo techniczne. Architektura. 2009; 106(1-A): 602–605.
52.
Le Corbusier. The modulor – a harmonious measure to the human scale. London: The M.I.T. Press, 1979.
53.
Holmqvist K, Nystrom M, Andersson R, Dewhurst R, Jarodzka H, et al. Eye tracking. A comprehensive guide to methods and measures. London: Oxford University Press, 2011.
54.
Ulrich RS. View through a window may influence recovery from surgery. Science. 1984; 224: 420–1.
55.
Harris P, McBride G, Ross C, Curtis L. A place to heal: environmental sources of satisfaction among hospital patients. J App Soc Psychol. 2002; 32: 1276–99.
56.
Reiling R. Safe design of healthcare facilities. Qual Saf Health Care. 2006; 15: i34-i40.
57.
Ulrich RS, Zimring C, Zhu X, DuBose J, Seo HB, Choi YS, et al. A review of the research literature on evidence-based healthcare design. HERD. 2008; 1: 61–125.
58.
MacDonald Gibson J, Rodriguez D, Dennerlein T, Mead J, Hasch T, Meacci G, et al. Predicting urban design effects on physical activity and public health: A case study. Health Place. 2015; 35: 79–84.
59.
Sakallaris BR, McAllister B, Voss M, Smith K, Jonas WB. Optimal Healing Environments. Glob Adv Health Med. 2015; 4: 40–5.
60.
Partala T., Surakka V. Pupil size variation as an indication of affective processing. Int J Hum Comput Stud. 2003; 59: 185–98.
61.
Steinhauer SR, Siegle GJ, Condray R, Pless M. Sympathetic and parasympathetic innervation of pupillary dilation during sustained processing. Int J Psychophysiol. 2004; 52: 77–86.
62.
Kinner VL, Kuchinke L, Dierolf AM, Merz CJ, Otto T, Wolf OT. What our eyes tell us about feelings: Tracking pupillary responses during emotion regulation processes. Psychophysiology. 2017; 54: 508–18.
63.
Lang PJ, Greenwald MK, Bradley MM, Hamm AO. Looking at pictures: Affective, facial, visceral, and behavioral reactions. Psychophysiology. 1993; 30: 261–73.
64.
Nowak W, Hachol A, Kasprzak H. Time-frequency analysis of spontaneous fluctuation of the pupil size of the human eye. Opt Appl. 2008; 38: 469–80.
65.
Hopkins LS, Schultz DH, Hannula DE, Helmstetter FJ. Eye Movements Index Implicit Memory Expression in Fear Conditioning. PLoS ONE. 2015; 10(11): e0141949.
66.
Snowdon RJ, O’Farrell K, Burely D, Erichsen JT, Newton NV, et al. The pupil’s response to affective pictures: Role of image duration, habituation, and viewing mode. Psychophysiology. 2016; 53: 1217–1223.
67.
Bonifacci P, Desideri L, Ottaviani C. Familiarity of Faces: Sense or Feeling? An Exploratory Investigation With Eye Movements and Skin Conductance. J Psychophysiol. 2015; 29(1): 20–25.
68.
Lew R, Dyre BP, Werner S, Wotring B, Tran T. Exploring the Potential of Short-Time Fourier Transforms for Analyzing Skin onductance and Pupillometry in Real-Time Applications. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 2016: 1536–1540.
69.
Chmielewska M, Dzieńkowski M, Bogucki J, Kocki W, Kwiatkowski B, et al. Affective computing with eye-tracking data in the study of the visual perception of architectural spaces. MATEC Web of Conf. 2019; 252 03021.
https://doi.org/10.1051/matecc....