Agent-Based Ergonomic User Interface Development Environment: Analysis Phase
Md. Abdul Muqsit Khan

Md. Abdul Muqsit Khan, MANUU Polytechnic Darbhanga, Satellite Campus of Maulana Azad National Urdu University, Hyderabad, India.

Manuscript received on October 12, 2019. | Revised Manuscript received on 23 October, 2019. | Manuscript published on November 10, 2019. | PP: 1406-1410 | Volume-9 Issue-1, November 2019. | Retrieval Number: A3997119119/2019©BEIESP | DOI: 10.35940/ijitee.A3997.11911
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Abstract: Internet around the world has become the prime source to satisfy the requirement of Entrepreneurs, customer and end users. As user comfort is the primary goal of all the entrepreneurs, the end user interacts through the internet to mine the knowledge. The user interacts the internet by apps and web. To attract the users, the user interface (UI) designers focus on Visual presentations to abet users to interact, comprehend, and navigate to the information. The work presents that how visual perceptions of Web page intricacy by perceptive users’ behavior, the indispensable cognitive effort for interaction with the UI can be understood. The work presents an extension of current methods for designing UI using model-based technics, with the methods essential for the design of adaptive capacities required in different phases of development. These developments can be fused in Agent-Based Ergonomic User Interface Development Environment. This technique is bolstered by a solution based on Multi-Agent System (MAS) which offer adaptive capabilities to users, designed using the anticipated technique of Agent-Based Ergonomic User Interface Development Environment (AB-EUIDE). In [27] author has presented the various phases of the AB-EUIDE Framework. In this article author presents the analysis phase of the AB-EUIDE and explains how a compromise is done between Adaptation and Ergonomics while designing the user interface.
Keywords: Adaptation, Analysis Phase, Ergonomic user Interface (EUI), and Multi-Agent System (MAS).
Scope of the Article: Smart Learning Methods and Environments