ESS- BBB - Biomatemática, Bioestatística e Bioinformática
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Browsing ESS- BBB - Biomatemática, Bioestatística e Bioinformática by Author "Almeida, João E."
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- Elderly and fire safety: using serious games to elicit human behaviour in evacuation scenariosPublication . Almeida, João E.; Rossetti, Rosaldo J. F.; Faria, Brígida Mónica; Coelho, António Leça; Faria, Brígida MónicaThe problem of leaving a building while facing some emergency has gained much attention from the scientific community. Evacuation simulators can help emergency planners to assess the safety of buildings. However, such simulators still lack behavioural knowledge to increase their accuracy. The elderly have specific behaviour idiosyncrasies. This paper presents a set of experiments designed to elicit human behaviour in evacuation scenarios using serious games, applied to a population sample of 20 adults aged over 65 years. They were presented three experiments (alarm id, exit-choice in five different situations and auditorium with four situations) and their reactions were collected. Results were analysed and compared with previous similar experiments. Future directions in this research include: to expand and to refine data collection to other scenarios and perform massive data collection using the internet; and to use this data to feed and enhance existing crowd simulators particularly for evacuation purposes.
- Social simulation of rescue teams’ dynamic planningPublication . Ulisses, João; Rossetti, Rosaldo J. F.; Almeida, João E.; Faria, Brígida MónicaThis paper focuses on an approach to dynamic planning, for an emergency ambient such as team rescue in indoors fire. First a graph is generated as the simulation runs, creating an effect similar to means-end analysis as each fire trying to reach the firefighter. This graph is updated in real time, improving the solution performance and reacting to new fires. The firefighter creates a plan based on this graph, using shortest weighed paths algorithms, these weights are updated dynamically, they do not only contain the distance but they also contain the importance to reach that node, so a important node to reach costs less for a firefighter to get there. All this together allows real time solutions to be generated, and self improving solutions to be made in the plan. This algorithm is to be integrated on a framework that simulates physics and collisions, and using a navigation mesh and agent perceptions to aid in calculation of a 3D shortest path.
- Using serious games to train children and elicit fire safety behaviourPublication . Almeida, João E.; Rossetti, Rosaldo J. F.; Faria, Brígida Mónica; Coelho, António LeçaSerious Games are being increasingly used as a tool for various applications, contrary to the traditional entertainment purpose. One of their application domains is fire safety. Possible injuries from fires are a dangerous safety concern for children, for instance. Another important issue is the elicitation of behavioural knowledge to design and feed simulation models. The lack of human behaviour data is often referred to as a drawback to evacuation simulation designers. This paper addresses the aforementioned matters in respect to: i) acquiring valuable knowledge on children behaviour when facing the urgent need for evacuation; and ii) devising an educational tool. A group of 19 children from an elementary school played two different role plays using a Serious Game and the data of their behaviours was collected. Results were analysed and are here presented. Future work is two-fold: to expand and to refine data collection to other groups such as elderly; to use this data for crowd synthesis particularly for evacuation simulators.