S. Govindarajan's scientific contributions

Abstract: With the onset of electric and electronic technology, the world has taken a metamorphic change from the mammoth size of an elephant to that of a tiny ant. The coaxial cable bridges encircle the spear which generates them. By far, the mobile phones have been the most advanced invention of the human race, and they have contributed an incredible part in the lifestyle of people of all walks of life. The handy phones (Clarridge, 2009) have succeeded in communication, kindred activities. There is a host of methods by which the visually challenged people use the mobile for their multifarious activities. Our focus here is to recount salient features of diverse interaction approaches followed by this vulnerable segment of society to interact with touch-based mobile phones. Thus, in this document, an earnest effort is made to assess various interaction, methods in terms of several features like the implication of interaction design, design philosophy, concrete usability study measures, favourable factors, divergence in utilisation so as to put them in a nutshell. A case study on the interaction approaches of the visually challenged with mobile phones is also offered here along with an evaluation of the text input time for several text input techniques, though as per the observation there is no major divergence in the text input time.

Mobile phones play an important role not only in a normal person's life but also in the lives of visually impaired and differently enabled people. This research emerges and grows gradually in the field of interaction systems between mobile phones and visually impaired persons. This paper describes the new Braille-coded gesture interaction method of communicating with a mobile device through touch screens by differently enabled people based on the concept of gesture computing and Braille Write. Using Braille codes to perform gestures on touch screen makes the visually challenged person(s) comfortable because Braille is the basis for communication. The prototype for the gesture input method was initially developed with the Android OS because Android has an open source operating system. Hence, the method is named the Eyedroid interaction technique. Essentially, Eyedroid is designed as a 'screen-layout-less system' to help the visually impaired without experiencing spatial problems. Eyedroid was developed and used by many visually challenged persons. Data were tested with a few post-hoc methods, and the random character input time was two seconds when using our Eyedroid method. The Kirkpatrick comprehensive gesture input method training evaluation models obtain a cent percent easiness from 50% of subjects, cent percent adaptability from 60% of subjects, cent percent accuracy from 65% of subjects.