Overview of research interest

 Research Overview

Over the years, my research has been deeply rooted in the interdisciplinary field of Human-Computer Interaction (HCI), with a strong emphasis on usability, accessibility, and user experience across a variety of software platforms. My work seeks to unravel the complex dynamics of user interactions with software and website interfaces, leading to the development of innovative evaluation models. By placing users at the center of technology design, I explore methods that enhance the design, implementation, and evaluation of computing systems.

Research Interests

My research interests span three core areas: Human-Computer Interaction (HCI), Multi-Criteria Decision Making (MCDM) and Data Mining (DM). I am particularly passionate about understanding user interactions and creating evaluation models that improve the usability and accessibility of digital platforms.

Past Research

The foundation of my past research lies in addressing the persistent usability challenges that hinder the effectiveness of modern websites and software for users seeking information. Traditional usability evaluation models, often marked by ambiguity, called for a new approach. In my PhD research, I developed the SNECA usability evaluation model, which clarifies the selection of usability criteria by focusing on Speed, Navigation, Ease-of-use, Content, and Aesthetic aspects. This model emerged from an extensive exploratory factor analysis, specifically targeting university websites.

I also introduced the Integrated Fuzzy Analytical Hierarchy Process (FAHP) model, which employs a modified Buckley fuzzy priority method and the Saaty scale. This model provides a quantitative assessment of usability criteria, offering insights into the importance of factors like Speed and Navigation. Further extending my research, I applied data mining techniques, using machine learning to predict user usability ratings. The resulting model, powered by an Artificial Neural Network (ANN), achieved a remarkable accuracy of 93.36%.

Current Research

My current research focuses on the development and refinement of usability evaluation models. I investigate the empirical and scientific underpinnings of existing models, exploring potential variations and cultural influences that may affect their evolution. Additionally, I am involved in automated accessibility evaluations, analyzing the compliance of various websites with Web Content Accessibility Guidelines (WCAG). This work highlights existing violations and proposes recommendations for improvement.

Expanding upon the MCDM approach, my ongoing research explores alternative methods such as Analytic Network Process (ANP), DEMATEL, VIKOR, and TOPSIS, in addition to the established AHP and Fuzzy AHP models. This research emphasizes the importance of considering multiple criteria when assessing website quality and usability.

Future Research

Looking ahead, my research agenda is broad and forward-looking. I am eager to explore critical areas such as eye tracking, usable privacy and security, mobile application usability, cross-platform usability, Human Centered AI and cultural usability. By leveraging machine learning techniques, I aim to advance the classification and prediction of usability ratings across various platforms. As technology continues to evolve, my goal is to develop new evaluation models that address emerging usability challenges.

Additionally, I plan to investigate usability issues in robotics and augmented/virtual reality (AR/VR), given the growing significance of these technologies. My overarching aim is to propose, test, and implement new evaluation models that align with the rapidly changing landscape of digital interfaces, meeting the diverse needs of users across different computing environments.

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