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Optimizing Immersive Exhibition Space Design Using Adaptive Simulated Annealing with Reheating and Virtual Reality Evaluation.

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Τίτλος: Optimizing Immersive Exhibition Space Design Using Adaptive Simulated Annealing with Reheating and Virtual Reality Evaluation.
Συγγραφείς: Zhang G; School of Art and Design, Henan Agricultural University., Hui X; College of Information and Management Science, Henan Agricultural University., Wang H; School of Art and Design, Henan Agricultural University; why@henau.edu.cn.
Πηγή: Journal of visualized experiments : JoVE [J Vis Exp] 2026 Sep 15 (235). Date of Electronic Publication: 2026 Sep 15.
Τύπος έκδοσης: Journal Article; Video-Audio Media
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: MYJoVE Corporation Country of Publication: United States NLM ID: 101313252 Publication Model: Electronic Cited Medium: Internet ISSN: 1940-087X (Electronic) Linking ISSN: 1940087X NLM ISO Abbreviation: J Vis Exp Subsets: MEDLINE
Imprint Name(s): Original Publication: [Boston, Mass. : MYJoVE Corporation, 2006]-
Ιατρικοί όροι (MeSH): Virtual Reality* , Environment Design* , User-Computer Interface*, Humans ; Algorithms
Περίληψη: Immersive exhibition spaces require layouts that support efficient circulation, clear wayfinding, balanced interaction, and comfortable environmental experience. However, exhibition layouts are often developed through manual design decisions, which makes it difficult to simultaneously evaluate route length, visual accessibility, crowding risk, environmental comfort, and interaction-node distribution. This study developed and evaluated a spatial-design optimization workflow based on adaptive simulated annealing with stage-dependent proposal selection and reheating control. A 36 m x 24 m immersive exhibition hall was constructed with six thematic zones, transition corridors, one rest area, and multiple interaction nodes. Three layout conditions were compared: manual layout, standard simulated annealing layout, and adaptive simulated annealing layout with reheating. The optimization model minimized a weighted spatial cost function that incorporated walking distance, visual accessibility, crowding, environmental comfort, and interaction balance. The selected layouts were implemented in virtual-reality exhibition scenes and evaluated through participant behavioral logs and post-experience ratings. The adaptive algorithm produced a lower final spatial cost, a higher improvement percentage, and fewer iterations to the best solution than standard simulated annealing, with a modest increase in computation time. Participants assigned to the adaptive layout reported higher satisfaction, stronger presence, clearer wayfinding, lower perceived crowding, and lower cognitive load, and they completed the route with shorter walking distance, fewer hesitations, longer dwell time, and broader heatmap coverage. These findings support the workflow as a decision-support approach for the tested exhibition scenario; they do not establish a universally optimal exhibition layout or superiority over all alternative metaheuristics.
Entry Date(s): Date Created: 20260917 Date Completed: 20260917 Latest Revision: 20260917
Update Code: 20260918
DOI: 10.3791/72842
PMID: 42752580
Βάση Δεδομένων: MEDLINE
FullText Text:
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  Data: Optimizing Immersive Exhibition Space Design Using Adaptive Simulated Annealing with Reheating and Virtual Reality Evaluation.
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  Data: <searchLink fieldCode="AU" term="%22Zhang+G%22">Zhang G</searchLink>; School of Art and Design, Henan Agricultural University.<br /><searchLink fieldCode="AU" term="%22Hui+X%22">Hui X</searchLink>; College of Information and Management Science, Henan Agricultural University.<br /><searchLink fieldCode="AU" term="%22Wang+H%22">Wang H</searchLink>; School of Art and Design, Henan Agricultural University; why@henau.edu.cn.
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  Data: <searchLink fieldCode="JN" term="%22101313252%22">Journal of visualized experiments : JoVE</searchLink> [J Vis Exp] 2026 Sep 15 (235). <i>Date of Electronic Publication: </i>2026 Sep 15.
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  Data: Journal Article; Video-Audio Media
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  Data: <i>Original Publication</i>: [Boston, Mass. : MYJoVE Corporation, 2006]-
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  Data: Immersive exhibition spaces require layouts that support efficient circulation, clear wayfinding, balanced interaction, and comfortable environmental experience. However, exhibition layouts are often developed through manual design decisions, which makes it difficult to simultaneously evaluate route length, visual accessibility, crowding risk, environmental comfort, and interaction-node distribution. This study developed and evaluated a spatial-design optimization workflow based on adaptive simulated annealing with stage-dependent proposal selection and reheating control. A 36 m x 24 m immersive exhibition hall was constructed with six thematic zones, transition corridors, one rest area, and multiple interaction nodes. Three layout conditions were compared: manual layout, standard simulated annealing layout, and adaptive simulated annealing layout with reheating. The optimization model minimized a weighted spatial cost function that incorporated walking distance, visual accessibility, crowding, environmental comfort, and interaction balance. The selected layouts were implemented in virtual-reality exhibition scenes and evaluated through participant behavioral logs and post-experience ratings. The adaptive algorithm produced a lower final spatial cost, a higher improvement percentage, and fewer iterations to the best solution than standard simulated annealing, with a modest increase in computation time. Participants assigned to the adaptive layout reported higher satisfaction, stronger presence, clearer wayfinding, lower perceived crowding, and lower cognitive load, and they completed the route with shorter walking distance, fewer hesitations, longer dwell time, and broader heatmap coverage. These findings support the workflow as a decision-support approach for the tested exhibition scenario; they do not establish a universally optimal exhibition layout or superiority over all alternative metaheuristics.
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        Text: English
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        Type: general
      – SubjectFull: Algorithms
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              Text: 2026 Sep 15
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              Y: 2026
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