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A hybrid model for capturing implicit spatial knowledge

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A hybrid model for capturing implicit spatial knowledge. / Sas, Corina.
TAMODIA '05 Proceedings of the 4th international workshop on Task models and diagrams. New York: ACM, 2005. p. 49-54.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Sas, C 2005, A hybrid model for capturing implicit spatial knowledge. in TAMODIA '05 Proceedings of the 4th international workshop on Task models and diagrams. ACM, New York, pp. 49-54, 4th International Workshop on TAsk MOdels and DIAgrams for User Interface Design for Work and Beyond, 1/01/00. https://doi.org/10.1145/1122935.1122945

APA

Sas, C. (2005). A hybrid model for capturing implicit spatial knowledge. In TAMODIA '05 Proceedings of the 4th international workshop on Task models and diagrams (pp. 49-54). ACM. https://doi.org/10.1145/1122935.1122945

Vancouver

Sas C. A hybrid model for capturing implicit spatial knowledge. In TAMODIA '05 Proceedings of the 4th international workshop on Task models and diagrams. New York: ACM. 2005. p. 49-54 doi: 10.1145/1122935.1122945

Author

Sas, Corina. / A hybrid model for capturing implicit spatial knowledge. TAMODIA '05 Proceedings of the 4th international workshop on Task models and diagrams. New York : ACM, 2005. pp. 49-54

Bibtex

@inproceedings{ad389c93346f4f4d9f7c74d804fb0feb,
title = "A hybrid model for capturing implicit spatial knowledge",
abstract = "This paper proposes a machine learning-based approach for capturing rules embedded in users{\textquoteright} movement paths while navigating in Virtual Environments (VEs). It is argued that this methodology and the set of navigational rules which it provides should be regarded as a starting point for designing adaptive VEs able to provide navigation support. This is a major contribution of this work, given that the up-to-date adaptivity for navigable VEs has been primarily delivered through the manipulation of navigational cues with little reference to the user model of navigation.",
author = "Corina Sas",
year = "2005",
month = sep,
doi = "10.1145/1122935.1122945",
language = "English",
isbn = "1595932208",
pages = "49--54",
booktitle = "TAMODIA '05 Proceedings of the 4th international workshop on Task models and diagrams",
publisher = "ACM",
note = "4th International Workshop on TAsk MOdels and DIAgrams for User Interface Design for Work and Beyond ; Conference date: 01-01-1900",

}

RIS

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T1 - A hybrid model for capturing implicit spatial knowledge

AU - Sas, Corina

PY - 2005/9

Y1 - 2005/9

N2 - This paper proposes a machine learning-based approach for capturing rules embedded in users’ movement paths while navigating in Virtual Environments (VEs). It is argued that this methodology and the set of navigational rules which it provides should be regarded as a starting point for designing adaptive VEs able to provide navigation support. This is a major contribution of this work, given that the up-to-date adaptivity for navigable VEs has been primarily delivered through the manipulation of navigational cues with little reference to the user model of navigation.

AB - This paper proposes a machine learning-based approach for capturing rules embedded in users’ movement paths while navigating in Virtual Environments (VEs). It is argued that this methodology and the set of navigational rules which it provides should be regarded as a starting point for designing adaptive VEs able to provide navigation support. This is a major contribution of this work, given that the up-to-date adaptivity for navigable VEs has been primarily delivered through the manipulation of navigational cues with little reference to the user model of navigation.

U2 - 10.1145/1122935.1122945

DO - 10.1145/1122935.1122945

M3 - Conference contribution/Paper

SN - 1595932208

SP - 49

EP - 54

BT - TAMODIA '05 Proceedings of the 4th international workshop on Task models and diagrams

PB - ACM

CY - New York

T2 - 4th International Workshop on TAsk MOdels and DIAgrams for User Interface Design for Work and Beyond

Y2 - 1 January 1900

ER -