Abstract
This study focuses on design and implementation of an agent-based simulation model that replicates spatially disoriented walking behavior caused by decline in cognitive abilities, similar to conditions experienced by Alzheimer’s patients. Results of this simulation will be used to investigate potential correlations between observable spatial patterns in walking trajectories and levels of cognitive impairment in dementia patients. Review of literature on human wayfinding behavior provides a set of operational parameters to employ in an agent-based model. The proposed mechanism of replicating spatial disorientation in this study relies on stochastic modeling of uncertainties in (1) traveled distance, (2) direction of travel toward the destination, and (3) location of landmarks in the environment. Additionally, a proposed measure of aggregate wayfinding disutility is introduced to regulate the start of spatially disoriented walking episodes in agents.
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Najian, A., Dean, D.J. (2017). Simulation of Human Wayfinding Uncertainties: Operationalizing a Wandering Disutility Function. In: Griffith, D., Chun, Y., Dean, D. (eds) Advances in Geocomputation. Advances in Geographic Information Science. Springer, Cham. https://doi.org/10.1007/978-3-319-22786-3_37
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DOI: https://doi.org/10.1007/978-3-319-22786-3_37
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