Abstract
In order to assist users in the process of locating objects in Virtual Environments (VE), we automatize the process of giving directions through a computational model. This model generates directions in natural language by using spatial and perceptual aspects. It involves three main processes: (1) a computational model of perceptual saliency for 3D objects; (2) a user model and an explicit representation of virtual world semantics; and (3) the algorithm for automatic generation of directions to locate objects in natural language. Reference frames and reference objects support the model. For the selection of the best reference 3D object are considered three criteria: the perceptual saliency of the objects, the probability of the user to remember the object location, and prior knowledge from the user about the object. This paper presents the structure and the processes of the proposed model.
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Lara, G., De Antonio, A., Peña, A., Muñoz, M. (2018). Automatic Directions for Object Localization in Virtual Environments. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S. (eds) Trends and Advances in Information Systems and Technologies. WorldCIST'18 2018. Advances in Intelligent Systems and Computing, vol 746. Springer, Cham. https://doi.org/10.1007/978-3-319-77712-2_38
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DOI: https://doi.org/10.1007/978-3-319-77712-2_38
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