Cognitive Model of Agent Exploration with Vision and Signage Understanding

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dc.contributor.authorJohnson, Colin
dc.contributor.authorHaworth, Brandon
dc.date.accessioned2023-05-28T15:48:37Z
dc.date.copyright2023en_US
dc.date.issued2023-03-20
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.embargo2024-03-20
dc.description.reviewstatusRevieweden_US
dc.description.scholarlevelFacultyen_US
dc.description.sponsorshipNSERC Discovery, Canada. Grant Number: RGPIN-2021-03541en_US
dc.identifier.citationJohnson, C. and Haworth, B. (2022), Cognitive Model of Agent Exploration with Vision and Signage Understanding. Computer Graphics Forum, 41: 143-154. https://doi.org/10.1111/cgf.14631en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.14631
dc.identifier.urihttp://hdl.handle.net/1828/15137
dc.language.isoenen_US
dc.publisherComputer Graphics Forumen_US
dc.subjectCCS Conceptsen_US
dc.subjectComputing methodologies → Multi‐agent systemsen_US
dc.subjectImage Manipulationen_US
dc.subjectApplied computing → Computer‐aided designen_US
dc.titleCognitive Model of Agent Exploration with Vision and Signage Understandingen_US
dc.typePostprinten_US

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