2014
DOI: 10.2466/24.50.pms.119c29z4
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Affective and Restorative Valences for Three Environmental Categories

Abstract: The present study evaluated images of environments in three categories with different affective and restorative valences through two computerized assessments. A non-verbal computerized response scale and the Mexican Scale of Environmental Restoration Perception were employed. 104 students assessed the affective qualities of 117 images (47 natural, 37 urban with nature, and 33 built-up without nature) according to pleasure and activation dimensions. Then 96 students assessed 54 images with high and low valence … Show more

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Cited by 19 publications
(34 citation statements)
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“…Among other qualities, complexity defined as visual richness in colors, architectural styles, buildings and activities is a factor significantly influencing positive affective responses to places (Rapoport and Kantor, 1967; Ewing and Handy, 2009; Purciel et al, 2009). Similarly, Kaplan et al (1989) hypothesized that complexity, defined as richness of environmental information, is a predictor of environmental preference because promoting exploration, and studies on the preference for urban landscapes seem to support Kaplan’s hypothesis, indicating natural elements as key modulator for positive ratings of urban environments (Herzog, 1992; Hernández and Hidalgo, 2005; Abkar et al, 2011; Pazhouhanfar et al, 2013; Martínez-Soto et al, 2014; Twedt et al, 2016). Along this line, richness and variety in environmental information has been suggested as key design factors for dementia-friendly environments (Mitchell and Burton, 2006).…”
Section: Complexity and Environmental Preferencementioning
confidence: 97%
See 1 more Smart Citation
“…Among other qualities, complexity defined as visual richness in colors, architectural styles, buildings and activities is a factor significantly influencing positive affective responses to places (Rapoport and Kantor, 1967; Ewing and Handy, 2009; Purciel et al, 2009). Similarly, Kaplan et al (1989) hypothesized that complexity, defined as richness of environmental information, is a predictor of environmental preference because promoting exploration, and studies on the preference for urban landscapes seem to support Kaplan’s hypothesis, indicating natural elements as key modulator for positive ratings of urban environments (Herzog, 1992; Hernández and Hidalgo, 2005; Abkar et al, 2011; Pazhouhanfar et al, 2013; Martínez-Soto et al, 2014; Twedt et al, 2016). Along this line, richness and variety in environmental information has been suggested as key design factors for dementia-friendly environments (Mitchell and Burton, 2006).…”
Section: Complexity and Environmental Preferencementioning
confidence: 97%
“…More broadly, natural environments have been associated with positive judgments of preference (Herzog, 1992; Laumann et al, 2001; Hernández and Hidalgo, 2005; Abkar et al, 2011; Pazhouhanfar et al, 2013; Martínez-Soto et al, 2014; Twedt et al, 2016). A limitation of comparing broad environments such as green areas and urban contexts is the potential influence of confounders, which calls for a more in-depth analysis of these environments.…”
Section: Complexity and Environmental Preferencementioning
confidence: 99%
“…Specifically, the model posits a structure of emotion in which four poles (on an x-y axis) represent different emotional states, from low-arousal to higharousal, and from negative to positive emotion. Some studies in landscape [56,57] and lighting [58] used the model to measure emotional states, and it is also one of the most widely used and validated measure in psychological research of emotion [59]. Our survey questionnaire asked participants "To what extent do you feel this way right now, that is, at the present moment?"…”
Section: Emotionmentioning
confidence: 99%
“…People are sensitive to the variability of perceived restorative potential within setting type. Not all natural scenes are perceived to be restorative and not all built environments are perceived to be depleting (see also Kaplan et al, 1993 ; Scopelliti and Giuliani, 2004 ; Karmanov and Hamel, 2008 ; Martínez-Soto et al, 2014 for examples of how built environments vary on restorative potential).…”
Section: Introductionmentioning
confidence: 99%