The growing needs in the area of HCI has led to many new researches focusing on user-centric design, investigating the problems faced by a computer user and ways to produce an effective yet efficient design. Often, designers need to acquire the knowledge and the experience of the users to produce a good interface design. This can be referred as a wise exploitation of user's mental model. The paper serves as a preliminary study which explores the mental model of blind users as a contribution in improving the accessibility of computer applications. Based on the blind user's perception, imagination and interpretation, the study indicates that touch sensation plays an important role in improving the representation of a computer application to them. Associating touch sensation with information familiar to the blind users enhances the learning process.

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Travelling Salesman Problem (TSP) is a famous example in the study of route optimization in the field of computer science. Various algorithms have been developed by previous researches throughout the years attempting to solve the TSP yet there is always a doubt in producing the best solution. Route planning has always been a major interest of study due to the nature of the topic which covers many industries. Transportation pathways, flight routes, travellers, delivery services and many more applies TSP which means there is a need for a preplanned route schedule to ensure an optimized travelling has been performed. In this article, a small scale research was conducted to produce an optimized route planning using genetic algorithm.

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