School of Computer Science

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Image of Bavani Ramayah

Bavani Ramayah

Assistant Professor,


  • workRoom BB19 Block B
    Malaysia Campus
    Jalan Broga
    43500 Semenyih
    Selangor Darul Ehsan
  • work+6 (03) 8924 8154


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.

Research Summary

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.

Selected Publications

Past Research

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.

Future Research

Internet of Things (IoT)

School of Computer Science

University of Nottingham
Jubilee Campus
Wollaton Road
Nottingham, NG8 1BB

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