Seminario - How can we improve realism in crowd simulations?

Venerdì 27 Maggio alle ore 16:00 il prof. Martyn Amos, Head of Department of Computer and Information Sciences, Northumbria University Newcastle, UK, terrà un seminario online dal titolo "How can we improve realism in crowd simulations?".

Il seminario, della durata di 1h, si svolgerà tramite piattaforma Teams ed è aperto a tutti gli interessati utilizzando il link sotto riportato.

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TITLE: How can we improve realism in crowd simulations?

ABSTRACT:
Crowd simulations now play an integral role in performance-based fire safety design, and they are applied in a wide variety of domains, from evacuation planning and management to incident response and analysis. Simulations generate crowd behaviours that are macroscopically valid, but which still occasionally lack realism (or “believability”). Although the overall outcome of the simulation (e.g., the time taken to evacuate a building) may be valid, any visualization of the moving crowd may lack subtle features that are present in real crowds (for example, sudden changes in direction or speed). This “reality gap” may present a challenge in terms of the adoption of policies based on simulation visualisations; put simply, decision makers may not entirely trust the outputs of these models because they intuitively feel that they are somehow “unrealistic”. In our recent work, we addressed this reality gap, using a Turing test model that asked human participants to classify movies of real and simulated crowds. We first confirmed the existence of features or patterns that are specific to real crowds, and which are not present in simulated crowds. This meant that we could be confident that real crowds have “signature” features that allow them to be distinguished from simulated crowds. We then followed up this work with a second study, which specifically identified those signature features. These findings immediately suggest a number of relatively straightforward modifications that may be made to crowd simulation packages in order to close the believability gap that exists between their outputs and reality.

LINK TEAMS:
https://teams.microsoft.com/l/meetup-join/19%3a1a680d7cca034a7885edad552...