Author(s)

Muzammil Khan, Khushdil  

Department of Computer Science and Software Engineering, University of Swat, Saidu Sharif, Pakistan.
Institute of Business and Computer Mgt Sciences, Department of Computer Science, Agriculture University, Peshawar, Pakistan.

The advent and extensive use of computer and increasing development of different technologies it is important to increase the awareness of issues related to the electronic text or text presentation on computer screen. The usage of web shows the importance of usability and readability of the web applications or sources provide by the web and web textual contents. Web application fails to encounter the user’s requirements in effective manner specially related to textual information, because the designers are unaware from some of the important factors effecting readability, reading from the screen. In this regard, this study is the continuation of the previous work that has been done for the improvement of readability, to handle the readability issues on the basis of Eye Blink for male participants and female participants. To achieve general recommendations for suitable or optimum length of text line for all type of users on the bases of eye blink. Basically during reading from the computer screen focus losses at two positions, when eye blink in the middle of text line and when text line ends. The study specifies suitable length of text line on the basis of Eye Blink, assuming three typographical variables i.e. font style, font color, font size, and with white background, which improve the overall readability or reading from computer screen. The study also shows two important things the degree of understandability and the degree of attractive appearance of different combination.

Readability; Text Line Length; Understandability; Appearance; Eye Blink; Typographical Variable; Reading from Screen

M. Khan and K.  , "Comprehensive Study on the Basis of Eye Blink, Suggesting Length of Text Line, Considering Typographical Variables the Way How to Improve Reading from Computer Screen," Advances in Internet of Things, Vol. 3 No. 1, 2013, pp. 9-20. doi: 10.4236/ait.2013.31002.