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Authors: Oshadi Alahakoon ; Seng Loke and Arkady Zaslavsky

Affiliation: School of Computer Science and Software Engineering, Monash University, Australia

Keyword(s): Unobtrusive Interfaces, user modelling, e-commerce

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Enterprise Information Systems ; HCI on Enterprise Information Systems ; Human-Computer Interaction ; Intelligent User Interfaces ; Internet HCI: Web Interfaces and Usability ; User Needs

Abstract: E-commerce has become a common activity among many people. Although widely used, the interfaces which users communicate with e-commerce systems are still at an early stage of development in terms of intelligence and user-friendliness. Unobtrusiveness is recognized as one of the most important desired attributes of an intelligent and friendly interface. In this paper we describe our work on an information architecture to minimize obtrusiveness. A layered information architecture supported by a structured user profile model is described in the paper. As example scenario is presented to clarify the new architecture and the development of a cost model for measuring the level of obtrusiveness is discussed.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Alahakoon, O.; Loke, S. and Zaslavsky, A. (2004). UNOBTRUSIVE ACQUSITION OF USER INFORMATION FOR E–COMMERCE APPLICATIONS. In Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 5: ICEIS; ISBN 972-8865-00-7; ISSN 2184-4992, SciTePress, pages 3-8. DOI: 10.5220/0002633400030008

@conference{iceis04,
author={Oshadi Alahakoon. and Seng Loke. and Arkady Zaslavsky.},
title={UNOBTRUSIVE ACQUSITION OF USER INFORMATION FOR E–COMMERCE APPLICATIONS},
booktitle={Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 5: ICEIS},
year={2004},
pages={3-8},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002633400030008},
isbn={972-8865-00-7},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 5: ICEIS
TI - UNOBTRUSIVE ACQUSITION OF USER INFORMATION FOR E–COMMERCE APPLICATIONS
SN - 972-8865-00-7
IS - 2184-4992
AU - Alahakoon, O.
AU - Loke, S.
AU - Zaslavsky, A.
PY - 2004
SP - 3
EP - 8
DO - 10.5220/0002633400030008
PB - SciTePress