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                <identifier>ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai:2:11856</identifier>
                <datestamp>2026-02-28T10:57:41Z</datestamp>
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                    <dim:field mdschema="dc" element="title" lang="en">Synthetic Nature: The Emotional Ecology of AI-Generated Landscapes in Sustainable Tourism</dim:field>
                    <dim:field mdschema="dc" element="date" qualifier="issued">2026</dim:field>
                    <dim:field mdschema="dc" element="identifier" qualifier="uri">http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/2/11856</dim:field>
                    <dim:field mdschema="dc" element="identifier" qualifier="uri">https://www.mdpi.com/2071-1050/18/5/2330</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="id:54913" confidence="-1">D. Karabašević</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="orcid::0000-0001-8684-4228" confidence="-1">A. Vujko</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="id:54915" confidence="-1">V. Mirčetić</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="id:54916" confidence="-1">D. Cvijanović</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="id:54917" confidence="-1">D. Stanujkić</dim:field>
                    <dim:field mdschema="dc" element="description" qualifier="abstract">This study examines how individuals experience AI-generated natural landscapes and
whether visually simulated, non-immersive environments activate perceptual, emotional,
and restorative mechanisms typically associated with real or immersive nature. Grounded
in a critical realist epistemology, AI-generated nature is conceptualized not as a substitute
for natural environments, but as a distinct experiential domain in which the transferability
of established environmental and restoration theories can be empirically tested. A
total of 1021 participants evaluated AI-generated landscapes using a 36-item instrument
derived from environmental psychology, digital media studies, and restoration research.
Exploratory factor analysis identified six experiential dimensions—perceived naturalness,
sense of presence, affective attunement, emotional resonance, restorative quality, and cognitive
restoration—which were examined using confirmatory factor analysis and structural
equation modeling. While the measurement model showed excellent fit, structural relationships
among constructs were consistently weak, indicating systematic non-support
of theoretically expected pathways. The findings show that AI-generated landscapes can
elicit salient perceptual, affective, and cognitive responses that remain largely unintegrated,
limiting their capacity to produce coherent restorative outcomes. The study delineates
boundary conditions for applying environmental and restoration theories to visually simulated
AI landscapes and supports positioning synthetic nature as a complementary element
in sustainable tourism experience design and digital environmental communication.</dim:field>
                    <dim:field mdschema="dc" element="type">article</dim:field>
                    <dim:field mdschema="dc" element="identifier" qualifier="doi">https://doi.org/10.3390/su18052330</dim:field>
                    <dim:field mdschema="dc" element="citation" qualifier="volume">18</dim:field>
                    <dim:field mdschema="dc" element="citation" qualifier="issue">5</dim:field>
                    <dim:field mdschema="dc" element="citation" qualifier="spage">1</dim:field>
                    <dim:field mdschema="dc" element="citation" qualifier="epage">32</dim:field>
                    <dim:field mdschema="dc" element="identifier" qualifier="issn">2071-1050</dim:field>
                    <dim:field mdschema="dc" element="source">Sustainability</dim:field>
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