System Architecture and User Interface Design for a Human-Machine Interaction System for Dementia Intervention

Author(s):  
Miroslava Migovich ◽  
Ritam Ghosh ◽  
Nibraas Khan ◽  
Judith A. Tate ◽  
Lorraine C. Mion ◽  
...  

Formalization approaches of user interface design (UID) in conjunction with model driven techniques aim to improve the usability in terms of conformity to standards or style guides and to leverage code generation of interactive software systems, so that various UI platforms for web, desktop or mobile Applications are supported. Because large parts of the UI are described platform independent instead of platform dependent implementations, re-usability of the UI concept is also improved. However, UI formalization requires the usage of a formal UI description language and a higher level of abstractness compared to concrete UI code. These languages need to be learned by the UI designer. In practice, most parts of a user interface are still manually designed and coded individually for every platform. This paper describes how HCI (Human Computer Interface) patterns that are described formally can be used in conjunction with model-based user interface design in order to make it easier for the designer to use formalization techniques for the development of user interfaces. The approach uses two UML profiles: The MBUID (Model-Based User Interface Design) profile and the HCI pattern profile. With these profiles formal models of interactive systems can be created on a platform independent level. The user interface is then automatically generated by model-driven development tool chain.


Author(s):  
Handrie Noprisson

Earthquake Early Warning Systems (EEWSs) development is essential to provide service to stakeholders and the public. The service is the information access regarding the information on the earthquake source area and its impact on the surrounding environment. This study aims to conduct a systematic literature review of peer-published studies focusing on the development of earthquake Early Warning Systems (EEWSs). The method of systematic review is well-established in research by Kitchenham et al. (2005). It is used to analyze the literature and answer defined research questions systematically. We found 16 papers related to system architecture, data modelling and user interface design of Earthquake Early Warning Systems (EEWSs) published in 2009-2020. Research that discusses data modelling is 6%, the user interface design is 38%, and system architecture is 56%. Overall, our findings show that the system architecture, data modelling and user interface of the development of Earthquake Early Warning Systems (EEWSs) in several countries have significant similarities. It can be modelled as a framework for the development of Earthquake Early Warning Systems (EEWSs).


2014 ◽  
Vol 1 (2) ◽  
pp. 93-105
Author(s):  
Sri Ravana ◽  
◽  
Niesha Gurusamy ◽  
Kasturi Varathan

2020 ◽  
Vol 37 (1) ◽  
pp. 47-67
Author(s):  
Jenny Ruiz ◽  
Estefanía Serral ◽  
Monique Snoeck

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