Component Software: Beyond Object-Oriented Programming
Component Software: Beyond Object-Oriented Programming
Usability Engineering
ConcurTaskTrees: A Diagrammatic Notation for Specifying Task Models
INTERACT '97 Proceedings of the IFIP TC13 Interantional Conference on Human-Computer Interaction
Service -Oriented Computing: Concepts, Characteristics and Directions
WISE '03 Proceedings of the Fourth International Conference on Web Information Systems Engineering
SUPPLE: automatically generating user interfaces
Proceedings of the 9th international conference on Intelligent user interfaces
WinCuts: manipulating arbitrary window regions for more effective use of screen space
CHI '04 Extended Abstracts on Human Factors in Computing Systems
Usability measurement and metrics: A consolidated model
Software Quality Control
End-user programming of mashups with vegemite
Proceedings of the 14th international conference on Intelligent user interfaces
Engineering more natural interactive programming systems: keynote talk
Proceedings of the 1st ACM SIGCHI symposium on Engineering interactive computing systems
Visual design of user interfaces by (de)composition
DSVIS'06 Proceedings of the 13th international conference on Interactive systems: Design, specification, and verification
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One way to design new interactive system is to automatically compose from existing systems. An interactive system encompasses a functional core (FC) and a user interface (UI). Many studies of the software engineering community focus on design or runtime composition of FC through components or services. However, provide good quality UI is important to make the composed system acceptable to the users. To address this need, the HCI community has studied how to compose UI at different levels of granularity. The main challenge is how to choose the best composition option in order to provide UI of good quality from the user point of view. This paper presents a step towards this challenge by proposing the chosen of the best composed graphical UI considering quality ergonomic criteria that can be automatically measured. In particular, it focuses on the information density criterion. Information density concerns the users' workload from a perceptual and cognitive point of view with regard to the whole set of information presented to the users rather than each individual element or item.