Human-machine interaction through an intelligent user interface based on contention architecture

Author(s):  
A. Agah ◽  
K. Tanie
2021 ◽  
Author(s):  
Jide Ebenezer Taiwo Akinsola ◽  
Samuel Akinseinde ◽  
Olamide Kalesanwo ◽  
Moruf Adeagbo ◽  
Kayode Oladapo ◽  
...  

In recent years, Cyber Security threat modeling has been discovered to have the capacity of combatting and mitigating against online threats. In order to minimize the associated risk, these threats need to be modelled with appropriate Intelligent User Interface (IUI) design and consequently the development and evaluation of threat metrics. Artificial Intelligence (AI) has revolutionized every facet of our daily lives and building a responsive Cyber Security Threat Model requires an IUI. The current threat models lack IUI, hence they cannot deliver convenience and efficiency. However, as the User Interface (UI) functionalities and User Experience (UX) continue to increase and deliver more astonishing possibilities, the present threat models lack the predictability capacity thus Machine Learning paradigms must be incorporated. Meanwhile, this deficiency can only be handled through AI-enabled UI that utilizes baseline principles in the design of interfaces for effective Human-Machine Interaction (HMI) with lasting UX. IUI helps developers or designers enhance flexibility, usability, and the relevance of the interaction to improving communication between computer and human. Baseline principles must be applied for developing threat models that will ensure fascinating UI-UX. Application of AI in UI design for Cyber Security Threat Modeling brings about reduction in critical design time and ensures the development of better threat modeling applications and solutions.


2013 ◽  
Vol 756-759 ◽  
pp. 1146-1151
Author(s):  
Feng Pan ◽  
Juan Han

In order to use software development environments conveniently and efficiently, this paper proposes a design scheme for integrated environment for the software development of web-based application patterns and gives instances developed under the environment. This scheme adopts browser/server architecture with Web frameset as its user interface, network intermediate components as its business process center, and uses I/O redirection to realize human-machine interaction. This paper implements the sharing of development environments, provides multi-user online use, extends computer environment, thus providing a convenient practical platform for numerous programming learners.


2017 ◽  
Vol 12 ◽  
pp. 56
Author(s):  
Boris Alekseyevich Kucherov ◽  
Vladimir Mikhailovich Artyushenko

The paper discusses issues of human-machine interaction in solving tasks of the planning department under severe resource restrictions using information technology. The negative factors influencing specialists of the planning department in solving their tasks under the given circumstances are shown. Specific features of designing the user interface in this subject area are noted. Directions to increase the efficiency of reaction of the planning department’s specialists to change the current situation by visual and sound notification of various events are marked. Various ways to develop user interface to generate a conflict-free plan under severe resource restrictions are considered. The variants of informative presentation of operational and statistical information to stakeholders are analyzed. These issues are discussed by the example of the planning department which solves the tasks of allocation of control facilities for spacecraft (a subset of satellite range scheduling problem),


Author(s):  
Manjit Singh Sidhu ◽  
Waleed Maqableh

Tangible User Interfaces (TUI) is an emerging human-machine interaction (HMI) style where significant number of new TUIs has been incorporated into the educational technology domain. This work presents the design of new user interface for technology-assisted problem solving (TAPS) packages for Engineering Mechanics subject at University Tenaga Nasional (UNITEN). In this study the TAPS packages were further enhanced by adopting TUI and compared to the previous TAPS packages. The study found additional benefits when using TUI whereby it provided human interface senses, such as haptics and tactile (touch) making it more natural to use.


Author(s):  
Constanze Tschöpe ◽  
Frank Duckhorn ◽  
Markus Huber ◽  
Werner Meyer ◽  
Matthias Wolff

2021 ◽  
pp. 1-9
Author(s):  
Harshadkumar B. Prajapati ◽  
Ankit S. Vyas ◽  
Vipul K. Dabhi

Face expression recognition (FER) has gained very much attraction to researchers in the field of computer vision because of its major usefulness in security, robotics, and HMI (Human-Machine Interaction) systems. We propose a CNN (Convolutional Neural Network) architecture to address FER. To show the effectiveness of the proposed model, we evaluate the performance of the model on JAFFE dataset. We derive a concise CNN architecture to address the issue of expression classification. Objective of various experiments is to achieve convincing performance by reducing computational overhead. The proposed CNN model is very compact as compared to other state-of-the-art models. We could achieve highest accuracy of 97.10% and average accuracy of 90.43% for top 10 best runs without any pre-processing methods applied, which justifies the effectiveness of our model. Furthermore, we have also included visualization of CNN layers to observe the learning of CNN.


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