A.V. Artífice, J.B. Lopes, J.A. Jorge, and M.J. Fonseca (Portugal)
Accessibility, Usability, User modelling, Assistive technology, Interaction, Simulation
This paper addresses the prediction of user moves in a case study where user interaction with a software game is predicted on the basis of λ-parameters acquired from users with special needs playing the game. A model was built to reproduce actions performed by such users to overcome the difficult set-up of tests given user reduced availability, mobility and varying/erratic behaviour. Data on user actions was collected from video recordings of users playing a game requiring them to roam a virtual house and perform some tasks. 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 part of the data collected during experiments, the remaining 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 fit of the data simulated with the reference data.
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