Recognizing customers’ mood in 3D shopping malls based on the trajectories of their avatars

Anton Bogdanovych; Mathias Bauer; Simeon Simoff

Recognizing customers’ mood in 3D shopping malls based on the trajectories of their avatars

Anton Bogdanovych, Mathias Bauer, Simeon Simoff

Research output: Chapter in Book / Conference Paper › Chapter › peer-review

Abstract

![CDATA[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.]]

Original language	English
Title of host publication	Enterprise Information Systems: 11th International Conference, ICEIS 2009, Milan, Italy, May 6-10, 2009. Proceedings
Editors	Joaquim Filipe, José Cordeiro
Place of Publication	Germany
Publisher	Springer
ISBN (Print)	9783642013461
Publication status	Published - 2009

Cite this

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title = "Recognizing customers{\textquoteright} mood in 3D shopping malls based on the trajectories of their avatars",

abstract = "![CDATA[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.]]",

author = "Anton Bogdanovych and Mathias Bauer and Simeon Simoff",

year = "2009",

language = "English",

isbn = "9783642013461",

editor = "Joaquim Filipe and Jos{\'e} Cordeiro",

booktitle = "Enterprise Information Systems: 11th International Conference, ICEIS 2009, Milan, Italy, May 6-10, 2009. Proceedings",

publisher = "Springer",

}

Recognizing customers’ mood in 3D shopping malls based on the trajectories of their avatars. / Bogdanovych, Anton; Bauer, Mathias; Simoff, Simeon.
Enterprise Information Systems: 11th International Conference, ICEIS 2009, Milan, Italy, May 6-10, 2009. Proceedings. ed. / Joaquim Filipe; José Cordeiro. Germany: Springer, 2009.

Research output: Chapter in Book / Conference Paper › Chapter › peer-review

TY - CHAP

T1 - Recognizing customers’ mood in 3D shopping malls based on the trajectories of their avatars

AU - Bogdanovych, Anton

AU - Bauer, Mathias

AU - Simoff, Simeon

PY - 2009

Y1 - 2009

N2 - ![CDATA[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.]]

AB - ![CDATA[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.]]

M3 - Chapter

SN - 9783642013461

BT - Enterprise Information Systems: 11th International Conference, ICEIS 2009, Milan, Italy, May 6-10, 2009. Proceedings

A2 - Filipe, Joaquim

A2 - Cordeiro, José

PB - Springer

CY - Germany

ER -

Recognizing customers’ mood in 3D shopping malls based on the trajectories of their avatars

Abstract

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