@inproceedings{ebd527400c33443fb2630a63e2537e3d,
title = "Recognizing customers' mood in 3d shopping malls based on the trajectories of their avatars",
abstract = "This paper proposes a method to assess the cognitive state of a human embodied as an avatar inside a 3-dimensional virtual shop. In order to do so we analyze the trajectories of the avatar movements to classify them against the set of predefined prototypes. To perform the classification we use the trajectory comparison algorithm based on the combination of the Levenshtein Distance and the Euclidean Distance. The proposed method is applied in a distributed manner to solving the problem of making autonomous assistants in virtual stores recognize the intentions of the customers.",
keywords = "3D virtual worlds, Avatar, E-Commerce, Trajectory recognition",
author = "Anton Bogdanovych and Mathias Bauer and Simeon Simoff",
year = "2009",
doi = "10.1007/978-3-642-01347-8\_62",
language = "English",
isbn = "9783642013461",
series = "Lecture Notes in Business Information Processing",
publisher = "Springer Verlag",
pages = "745--757",
booktitle = "Enterprise Information Systems - 11th International Conference, ICEIS 2009, Proceedings",
note = "11th International Conference on Enterprise Information Systems, ICEIS 2009 ; Conference date: 06-05-2009 Through 10-05-2009",
}