Split menus: effectively using selection frequency to organize menus
ACM Transactions on Computer-Human Interaction (TOCHI)
Experience with a learning personal assistant
Communications of the ACM
Plasticity of User Interfaces: A Revised Reference Framework
TAMODIA '02 Proceedings of the First International Workshop on Task Models and Diagrams for User Interface Design
Adaptation des IHM: taxonomies et archi. logicielle
IHM '02 Proceedings of the 14th French-speaking conference on Human-computer interaction (Conférence Francophone sur l'Interaction Homme-Machine)
Evaluating Web-Based E-Government Services with a Citizen-Centric Approach
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 5 - Volume 05
IEEE Transactions on Knowledge and Data Engineering
A study of the service quality of general portals
Information and Management
A Multiple-Item Scale for Assessing E-Government Service Quality
EGOV '09 Proceedings of the 8th International Conference on Electronic Government
Model-based support for specifying eService eGovernment applications
TAMODIA'06 Proceedings of the 5th international conference on Task models and diagrams for users interface design
User profiles for personalized information access
The adaptive web
Analysing the demand side of e-government: what can we learn from Slovenian users?
EGOV'07 Proceedings of the 6th international conference on Electronic Government
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E-government services are actually a major stake for public administrations. However, regarding perceived quality, no models, neither measurement scales are specifically developed for them. A literature review, from a critical point of view, leads to the conclusion that actual perceived quality models are not taking enough into account end-users. This is mainly related to the methodology approaches used for their definition. In order to overcome theses weaknesses, we propose a methodology which aims at developing a measurement scale through an ergonomic approach. This measurement scale will lead to the identification of a perceived quality meta-model which could be instantiated to several sub-models according to users' profile. Finally, we put forward application perspectives to adaptive interfaces design.