Ensaio de Avaliação Preditiva para Utilizadores com Necessidades Especiais

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dc.contributor.authorArtífice, Andreiaen_US
dc.contributor.authorLopes, João Brissonen_US
dc.contributor.authorJorge, Joaquimen_US
dc.contributor.authorFonseca, Manuel Joãoen_US
dc.contributor.editorCoelho, António and Cláudio, Ana Paulaen_US
dc.date.accessioned2021-06-18T07:37:53Z
dc.date.available2021-06-18T07:37:53Z
dc.date.issued2021
dc.description.abstractThis paper addresses the prediction of likely user moves in a practical case study where user interaction is pre­dicted on the basis of lambda-parameters acquired from users with special needs playing a software game. A model was built to reproduce actions performed by such users in a 3D world to overcome the difficult set-up of tests due to user reduced availability, mobility and varying/erratic behaviour. User actions data was obtained from usability tests where users played a game requiring them to move around a virtual house and perform some ac­tivities. The tests were carried out with users with disabilities such as severe physical injuries, cerebral palsy and Down syndrome. A three level simulator was developed with data extracted from part o the data collected during experiments, the remaining raw experimental data serving as reference for validation. Data analysis cal­culated the λ-parameter required by the Poisson and Exponential Distributions used by the statistical approach adopted. The tests performed showed an excellent statistical flt of the simulated data to the reference data.en_US
dc.description.sectionheadersInteracção Pessoa-Máquina
dc.description.seriesinformationACTAS DO 17º ENCONTRO PORTUGUÊS DE COMPUTAÇÃO GRÁFICA
dc.identifier.doi10.2312/pt.20091227
dc.identifier.isbn978-3-03868-154-0
dc.identifier.pages195-200
dc.identifier.urihttps://doi.org/10.2312/pt.20091227
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/pt20091227
dc.publisherThe Eurographics Associationen_US
dc.titleEnsaio de Avaliação Preditiva para Utilizadores com Necessidades Especiaisen_US
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