Architectural design for user interfaces

Author(s):  
Joëlle Coutaz
2003 ◽  
Vol 1 (2) ◽  
pp. 133-152 ◽  
Author(s):  
Bauke de Vries ◽  
Henri Achten ◽  
Maciej Orzechowski ◽  
Amy Tan ◽  
Nicole Segers ◽  
...  

The Human-Computer interface is crucial to good design support tools. It has to be non-interruptive and non-distracting, yet allow the architect to interact with the computer software. The physical reality of the interface, such as the shape and manipulability of devices like the mouse, keyboard, joystick, or data-glove, has to be mapped on actions and commands in the software. Already the current user interfaces are felt to be inadequate for a good support of design, and the functionality of design tools is growing, requiring even more and new physical interface devices. In this paper, we present research on new tangible interfaces for architectural design support. In particular, we focus on the research methodological question how to investigate such devices. The research strategy is introduced and discussed, after which concrete implementations of this strategy are shown. Based on this work, we conclude that the combination of interface and the context of its use in terms of design method and user needs form crucial aspects for such research and cannot be considered separately.


2020 ◽  
Vol 8 (6) ◽  
pp. 3398-3406

Most virtual learning environment fails to recognize that students have different needs when it comes to learning. With the evolving characteristics and tendencies of students, these learning environments must provide adaptation and personalization features for adaptive learning materials, course content and navigational designs to support student’s learning styles. Based from the data mining results of learner behavioral features of five hundred seven (507) tertiary students, an accurate model for classification of student’s learning styles were derived using J48 decision tree algorithm. The model was implemented in a prototype using a framework and a proposed system architectural design of an adaptive virtual learning environment. The study resulted in the development of an adaptive virtual learning environment prototype where learner’s preferences are dynamically diagnosed to intelligently personalize the course content design and user interfaces for them.


2003 ◽  
Author(s):  
Hendrik A. H. C. van Veen ◽  
Jan B. F. van Erp
Keyword(s):  

2006 ◽  
Author(s):  
Joshua A. Gomer ◽  
Kristin S. Moore ◽  
Matthew C. Crisler ◽  
Martha J. Kwoka ◽  
Christopher C. Pagano

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