Cognitive Model of Agent Exploration with Vision and Signage Understanding

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dc.contributor.authorJohnson, Colinen_US
dc.contributor.authorHaworth, Brandonen_US
dc.contributor.editorDominik L. Michelsen_US
dc.contributor.editorSoeren Pirken_US
dc.date.accessioned2022-08-10T15:19:31Z
dc.date.available2022-08-10T15:19:31Z
dc.date.issued2022
dc.description.abstractSignage systems play an essential role in ensuring safe, stress-free, and efficient navigation for the occupants of indoor spaces. Crowd simulations with sufficiently realistic virtual humans provide a convenient and cost-effective approach to evaluating and optimizing signage systems. In this work, we develop an agent model which makes use of image processing on parametric saliency maps to visually identify signage and distractions in the agent's field of view. Information from identified signs is incorporated into a grid-based representation of wayfinding familiarity, which is used to guide informed exploration of the agent's environment using a modified A* algorithm. In areas with low wayfinding familiarity, the agent follows a random exploration behaviour based on sampling a grid of previously observed locations for heuristic values based on space syntax isovist measures. The resulting agent design is evaluated in a variety of test environments and found to be able to reliably navigate towards a goal location using a combination of signage and random exploration.en_US
dc.description.number8
dc.description.sectionheadersMotion I
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume41
dc.identifier.doi10.1111/cgf.14631
dc.identifier.issn1467-8659
dc.identifier.pages143-154
dc.identifier.pages12 pages
dc.identifier.urihttps://doi.org/10.1111/cgf.14631
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14631
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectCCS Concepts: Computing methodologies --> Multi-agent systems; Image manipulation; Applied computing --> Computer-aided design
dc.subjectComputing methodologies
dc.subjectMulti
dc.subjectagent systems
dc.subjectImage manipulation
dc.subjectApplied computing
dc.subjectComputer
dc.subjectaided design
dc.titleCognitive Model of Agent Exploration with Vision and Signage Understandingen_US
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