Project Partnership

Industrial partners

G-Force CRC LLC, San Diego, CA, United States of America.
Six Capital Pte. Ltd., Singapore.
PT. Media Nusantara Citra Tbk., Jakarta, Indonesia (MNC Media)
PT. Nutrifood Indonesia.
PT. TUV Rheinland, Jakarta, Indonesia.
PT. Telekomunikasi Indonesia, Jakarta, Indonesia.
PT. Bank Negara Indonesia (Persero) Tbk., Indonesia.

Academic partners

Tokai University, Japan.
Shibaura Institute of Technology, Japan.
University of Tampere, Finland.
Clemson University, United States of America.
Anadolu University, Turkey.
King Mongkut’s Institute of Technology Ladkrabang (KMITL), Thailand.
Chulalongkorn University, Thailand.
Department of Mechanical and Industrial Engineering, Universitas Gadjah Mada.
Faculty of Medicine, Universitas Gadjah Mada.
Faculty of Psychology, Universitas Gadjah Mada.
Universitas Muhammadiyah HAMKA, Jakarta
Surya University, Jakarta.
Universiti Teknologi Petronas, Malaysia.
Universiti Teknologi Malaysia, Malaysia.

What do we do with our partners?

Fig. 1. Data collection using eye tracking

Through a cutting edge eye tracking technology, Dr. Sunu Wibirama has been supporting several companies and partners to help them finding and solving the most compelling usability problem on company profile websites as well as user experience on various digital medias and advertisements (Fig. 1).

Fig. 2. Fixational eye tracking

Fig. 3. Eye tracking heatmap

For example, presenting a gaze plot or a scanpath of fixational eye movements of a user during exposure of an ads may help a company to observe an area that directly captures attention of the user as well as measuring how long it takes for a user to gaze at a particular area of interest (Fig. 2). This analysis helps a company to improve the ads design by putting the most important information at an area with the highest visibility. Heat map and opacity map are useful tools to see the most prevalent area on a website or an ads (Fig. 3). These maps can be used as a gross validation strategy towards a crowd of customers on a particular product or ads that is presented online. Sometime, a more detailed quantitative analysis is needed to see how many customers seeing a particular area of interest in a digital media such as a movie or a short TV commercial. Thus, we can compare effectiveness of placing a component on top of the others to gain higher visibility and a better brand recall (Fig. 4).

Fig. 4. Quantitative analysis from eye tracking metrics

Fig. 5. Statistical analysis in eye tracking research

Dr. Sunu Wibirama applies various statistical learning techniques to analyze eye tracking data and to give an actionable input on how to optimize one variable to enhance business goal. In the most demanding case, he even uses artificial intelligence to decide the most optimum threshold of a particular variable so that a company may evaluate customers response based on this threshold. On top of that and as a dedicated scientist, Dr. Sunu Wibirama has committed to deliver the nuts and bolts of how to empower business with eye tracking technology. As an academician, Dr. Sunu Wibirama has been recognized as the first expert in Indonesia that dedicates more than 10 years of his academic career to work with eye tracking technology. Dr. Sunu Wibirama has been involved in more than 100 national and international forums to give a talk about fundamental of visual behavior and its implications in marketing, basic eye tracking research and methodology, human factors and ergonomics in digital products, user experience and business, and starting up an academic research. Equipped with access to vast amounts of scientific literatures and various eye tracking devices and softwares (e.g. GP3 Eye Tracker, Gazepoint Analysis, OGAMA, Tobii, etc.).