April 12-14, 2027
Charlotte, N.C.

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Yeinn Oh

Yeinn Oh

Graduate Research AssistantSimTigrate Design Center, Georgia Tech
Yeinn Oh is a Ph.D. student in Architecture at the School of Architecture at Georgia Tech. She obtained her Bachelor of Architecture and Bachelor of Psychology degrees from Ajou University in South Korea and completed her M.S. in Urban Design at Georgia Tech. Yeinn is passionate about investigating the relationship between human behavior and building design using Agent-Based Simulation. Her research focuses on understanding how building form affects human psychology. Her recent research applies Space Syntax analysis and Agent-Based Simulation in office settings to examine spatial behavior.
Wed Mar 189:45 AM – 10:45 AMWest 105 BC

E14 – Wayfinding Performance in Long-Term Care Facilities: The Role of Spatial Configuration

Wayfinding in older adults has been recognized as an essential yet challenging aspect of daily functioning due to age-related cognitive decline. As su…Wayfinding in older adults has been recognized as an essential yet challenging aspect of daily functioning due to age-related cognitive decline. As such, the design of LTC facilities plays a critical role in supporting wayfinding, facilitating essent…Wayfinding in older adults has been recognized as an essential yet challenging aspect of daily functioning due to age-related cognitive decline. As such, the design of LTC facilities plays a critical role in supporting wayfinding, facilitating essential activities, and promoting residents’ independence. Therefore, this session aims to examine how spatial qualities of LTC facilities can predict residents’ wayfinding performance. Fifteen LTC facili…Wayfinding in older adults has been recognized as an essential yet challenging aspect of daily functioning due to age-related cognitive decline. As such, the design of LTC facilities plays a critical role in supporting wayfinding, facilitating essential activities, and promoting residents’ independence. Therefore, this session aims to examine how spatial qualities of LTC facilities can predict residents’ wayfinding performance. Fifteen LTC facilities in the U.S. were selected, and the wayfinding performance of a total of 125 older adult residents was evaluated through predefined navigation tasks of three levels of complexity. The design typology was identified based on corridor structure (linear, branched, and courtyard). In addition to typical route characteristics (i.e., length, turns, floors visited), key spatial metrics of the floor plans were analyzed using Space Syntax methods. Stepwise regression models and Kruskal-Wallis test were used to analyze the relationship between the spatial characteristics of the floor plans, typologies, and route features on wayfinding performance. Findings show that spatial layout impacts wayfinding performance, even when residents’ individual health and cognitive conditions are considered. The LTC facility typology has also played a role in residents’ wayfinding performance. The findings can inform the architectural design of LTC facilities, ultimately enhancing residents’ autonomy and quality of life.Show MoreClick the title to see all detailsShow More

Educational SessionSession TypeResearch, Safety & OutcomesSession Track
CEU Credits:1.00
Yasaman Gholami
Yeinn Oh
Hui Cai
Maggie Calkins
Yasaman Gholami
Yasaman GholamiGraduate Research Assistant, SimTigrate Design Center, Georgia Tech
Yeinn Oh
Yeinn OhGraduate Research Assistant, SimTigrate Design Center, Georgia Tech
Hui Cai
Hui CaiProfessor, Executive Director, SimTigrate Design Center, Georgia Tech
Maggie Calkins
Maggie CalkinsSenior Researcher and Board Chair, IDEAS Institute
Yasaman Gholami
Yasaman GholamiGraduate Research Assistant, SimTigrate Design Center, Georgia Tech
Yeinn Oh
Yeinn OhGraduate Research Assistant, SimTigrate Design Center, Georgia Tech
Hui Cai
Hui CaiProfessor, Executive Director, SimTigrate Design Center, Georgia Tech
Maggie Calkins
Maggie CalkinsSenior Researcher and Board Chair, IDEAS Institute
Allow Registration:No
Capacity Unlimited:No
CEU:AIA – 1 HSW LU, EDAC, IDCEC – 1 HSW LU
Session Handouts:Handout Link
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