Cognitive Model of Agent Exploration with Vision and Signage Understanding

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dc.contributor.author Johnson, Colin
dc.contributor.author Haworth, Brandon
dc.date.accessioned 2023-05-28T15:48:37Z
dc.date.copyright 2023 en_US
dc.date.issued 2023-03-20
dc.identifier.citation Johnson, 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.14631 en_US
dc.identifier.uri https://doi.org/10.1111/cgf.14631
dc.identifier.uri http://hdl.handle.net/1828/15137
dc.description.abstract Signage 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.sponsorship NSERC Discovery, Canada. Grant Number: RGPIN-2021-03541 en_US
dc.language.iso en en_US
dc.publisher Computer Graphics Forum en_US
dc.subject CCS Concepts en_US
dc.subject Computing methodologies → Multi‐agent systems en_US
dc.subject Image Manipulation en_US
dc.subject Applied computing → Computer‐aided design en_US
dc.title Cognitive Model of Agent Exploration with Vision and Signage Understanding en_US
dc.type Postprint en_US
dc.description.scholarlevel Faculty en_US
dc.description.reviewstatus Reviewed en_US
dc.description.embargo 2024-03-20

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