Intelligent User Interface in Fuzzy Environment

Khayut, Ben; Fabri, Lina; Abukhana, Maya

doi:10.5121/ijaia.2014.5105

Cited by 10 publications

(3 citation statements)

References 6 publications

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“…In the new method, the knowledge transfer, sharing, and integration between two systems are as shown in Figure 1. Khayut et al (2014) proposed the data, information and knowledge based technology of smart/intelligent user interface design, and this new scheme interacted with users and systems in natural and other languages. In addition, it utilised the principles of situational control and fuzzy logic theories, artificial intelligence, knowledge base technologies and others.…”

Section: Related Workmentioning

confidence: 99%

New intelligent interface study based on K-means gaze tracking

Yin

2019

IJCSE

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User interface (UI) is an interaction and information exchange medium between systems and users, which is convenient to communicate and enable users to operate hardware easily and effectively to achieve the bidirectional interaction. Traditional UI has difficulty in satisfying requirements of users. Therefore, this paper proposes a new intelligence interface scheme based on K-means gaze tracking. First, it uniformly describes the user, interface and system in intelligent interface interaction framework based on visual attention selection mechanism. Second, it uses K-means method to calculate attention degree value of interface on the basis of mapping relation of user, interface and system. Third, it adopts visual attention allocation strategy to predict users' interest degree on interface. Finally, experiments are conducted to verify the performance of our new scheme. The results show that the accuracy of intelligent interface predicting user decision intention is very high. This new method is a kind of selectable solution for marking intelligent interface of user interest goal automatically. What's more, intelligence interface scheme based on K-means gaze tracking can effectively improve the quality of gaze tracking.

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Section: Related Workmentioning

confidence: 99%

New intelligent interface study based on K-means gaze tracking

Yin

2019

IJCSE

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“…The study conducted by Khayut [21] reveled that " IUI function is to facilitate the user to perform analysis, planning, decision-making, management and coordination of organizational unit. Under the facilitating in IUI is understood the full use of intelligence of the system to perform these and other functions by interacting with it in natural and/ or other language.…”

Section: Related Research Workmentioning

confidence: 99%

Self Learning Computer Troubleshooting Expert System

Ergado¹

2016

IJAIA

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In computer domain the professionals were limited in number but the numbers of institutions looking for computer professionals were high. The aim of this study is developing self learning expert system which is providing troubleshooting information about problems occurred in the computer system for the information and communication technology technicians and computer users to solve problems effectively and efficiently to utilize computer and computer related resources. Domain knowledge was acquired using semistructured interview technique, observation and document analysis. Domain experts were purposively selected for the interview question. The conceptual model of the expert system was designed by using a decision tree structure which is easy to understand and interpret the causes involved in computer troubleshooting. Based on the conceptual model, the expert system was developed by using 'if-then' rules. The developed system used backward chaining to infer the rules and provide appropriate recommendations. According to the system evaluators 83.6% of the users were satisfied with the prototype.

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“…These new target solutions transform and shift the entire system of Machine Intelligence into a new state in accordance with the changed situation in the surrounding its reality. The Intelligent User Interface [9], Fig. 1.…”

Section: Introductionmentioning

confidence: 99%

A Self-Developing Computational System of Full Awareness and Understanding of Reality

Khayut¹,

Fabri²,

Avikhana³

2018

ISASE

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The manuscript represents an approach to create a self-developing computational system of full awareness and understanding of reality through of the perception, processing, memorization and reproduction of languages, images, signals, sounds, feelings and emotions. This system is oriented on using in Kansei Engineering systems as a plug-in. The functionality of this system is realized by its processes of processing of data, information, knowledge, objects, models and modules in current situation. These processes are self-controlled and self-organized themselves under uncertainty of the changing environment with using of computational modeling of the: a

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Intelligent User Interface in Fuzzy Environment

Abstract: KEYWORDS Intelligent user interface

Cited by 10 publications

References 6 publications

New intelligent interface study based on K-means gaze tracking

New intelligent interface study based on K-means gaze tracking

Self Learning Computer Troubleshooting Expert System

A Self-Developing Computational System of Full Awareness and Understanding of Reality

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