Bavani is an Assistant Professor where she has been a faculty member since 2007. Bavani obtained her PhD (Visual Informatics) from National University of Malaysia and BSc (Computer Science), MSc (Computer Science) degrees from University Putra Malaysia (UPM) Malaysia. She was in industry for past four years as a programmer before involved in education field as a lecture. Her research interests are in the area of Human Computer Interaction (HCI) such as Social Computing, Behavioral sciences, Physiological interaction, User experience (UX), Emotional Design, Visually Impaired Users' related studies and social media. Besides, she has collaborated actively with researchers in several other disciplines such political sciences, law and psychology.
My current research interests fall into two areas:
Firstly is Neurophysiological methods in usability studies. I am investigating existing Neurophysiological methods that can be implemented and finding effective ways to incorporate with other methods to increase the validity of the usability studies particularly for visually impaired users. Objective method such as Neurophysiological measurement is good approaches to obtain rich source of data. This method help to understand the user behavior without any manipulation of data. Secondly, I am doing research about accessibility challenges facing by Individuals with Visual Impairment on Polling Day and suggesting solution to overcome the barriers.
In my past research I have investigated the unexplored interpretation issues by visual impaired (VI) users in web pages with multiple column layouts. A mental model was developed by integrating three main components such as layout design, navigation behavior and VI users' mental state. The research has established web design guidelines to improve quality of VI users' mental model. This research outcome provide insights into VI users' mental models for researchers, web designers, academics, educators, trainers, who want to have better understanding on how VI users who solely depend on screen readers navigate the web pages. The research considered as a new dimension in usability study which integrated bio signal tool particularly among VI users.
Internet of Things (IoT)
University of Nottingham Malaysia
Jalan Broga, 43500 Semenyih
Selangor Darul EhsanMalaysia
telephone: +6 (03) 8924 8000
fax: +6 (03) 8924 8018
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