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Modeling user navigation

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Modeling user navigation. / Sas, Corina; Reilly, R.; O'Hare, G.M.P. et al.
In: WSEAS Transactions on Systems, Vol. 12, No. 5, 2003, p. 582-588.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Sas, C, Reilly, R, O'Hare, GMP, Marian, I & Mangina, E 2003, 'Modeling user navigation', WSEAS Transactions on Systems, vol. 12, no. 5, pp. 582-588.

APA

Sas, C., Reilly, R., O'Hare, G. M. P., Marian, I., & Mangina, E. (2003). Modeling user navigation. WSEAS Transactions on Systems, 12(5), 582-588.

Vancouver

Sas C, Reilly R, O'Hare GMP, Marian I, Mangina E. Modeling user navigation. WSEAS Transactions on Systems. 2003;12(5):582-588.

Author

Sas, Corina ; Reilly, R. ; O'Hare, G.M.P. et al. / Modeling user navigation. In: WSEAS Transactions on Systems. 2003 ; Vol. 12, No. 5. pp. 582-588.

Bibtex

@article{6c07297afe804147b028b0e55e565d8f,
title = "Modeling user navigation",
abstract = "This paper proposes the use of neural networks as a tool for studying navigation within virtual worlds. Results indicate that the network learned to predict the next step for a given trajectory. The analysis of hidden layer shows that the network was able to differentiate between two groups of users identified on the basis of their performance for a spatial task. Time series analysis of hidden node activation values and input vectors suggested that certain hidden units become specialised for place and heading, respectively. The benefits of this approach and the possibility of extending the methodology to the study of navigation in Human Computer Interaction applications are discussed.",
keywords = "cs_eprint_id, 2109 cs_uid, 391",
author = "Corina Sas and R. Reilly and G.M.P. O'Hare and I. Marian and E. Mangina",
year = "2003",
language = "English",
volume = "12",
pages = "582--588",
journal = "WSEAS Transactions on Systems",
issn = "2224-2678",
publisher = "World Scientific and Engineering Academy and Society",
number = "5",

}

RIS

TY - JOUR

T1 - Modeling user navigation

AU - Sas, Corina

AU - Reilly, R.

AU - O'Hare, G.M.P.

AU - Marian, I.

AU - Mangina, E.

PY - 2003

Y1 - 2003

N2 - This paper proposes the use of neural networks as a tool for studying navigation within virtual worlds. Results indicate that the network learned to predict the next step for a given trajectory. The analysis of hidden layer shows that the network was able to differentiate between two groups of users identified on the basis of their performance for a spatial task. Time series analysis of hidden node activation values and input vectors suggested that certain hidden units become specialised for place and heading, respectively. The benefits of this approach and the possibility of extending the methodology to the study of navigation in Human Computer Interaction applications are discussed.

AB - This paper proposes the use of neural networks as a tool for studying navigation within virtual worlds. Results indicate that the network learned to predict the next step for a given trajectory. The analysis of hidden layer shows that the network was able to differentiate between two groups of users identified on the basis of their performance for a spatial task. Time series analysis of hidden node activation values and input vectors suggested that certain hidden units become specialised for place and heading, respectively. The benefits of this approach and the possibility of extending the methodology to the study of navigation in Human Computer Interaction applications are discussed.

KW - cs_eprint_id

KW - 2109 cs_uid

KW - 391

M3 - Journal article

VL - 12

SP - 582

EP - 588

JO - WSEAS Transactions on Systems

JF - WSEAS Transactions on Systems

SN - 2224-2678

IS - 5

ER -