Data visualization technology is going to grow in importance in the short term. This technology is a concept that describes any effort to help people understand the significance of data by placing it in a visual context. Patterns trends and correlations that may go unnoticed in text-based data can be more easily exposed and recognized data visualization software. The purpose of this research is to develop the interactive dashboard of Thai temple data in Nonthaburi province and finding out the users’ satisfaction with the dashboard. The tools used in the research were Data Studio software online questionnaires mean and standard deviation statistics. The results of the overall satisfaction evaluated by participants of 100 users who were people living in Nonthaburi province is at the highest level at a mean of 3.80. Therefore the results of this research can be applied to any Office of Buddhism that face with similar issues of data analytics

Nowadays Eye tracking technology is the next challenges of human computer interaction (HCI). This technology can help people all over the worldaccess computers through systems that use gaze control and especially important for people with physical disability. This research presents a system of assistive technology base on an eye-tracking interface while supported the communication system for independent living of persons with disabilities usability. The primary method of this system consists of a selection of pictogram buttons on three websites which used a low-cost eye-tracking device. The evaluation used the throughput of standards for computer pointing devices as a measurement of user performance to look at an on-screen target and dwell on it for 500ms for selection. The results showed that ten participants with a disability can be pointing and selection their overall mean throughput was 1.08 bits/s. Moreover the overall users of respondents were rather satisfied with the system. Consequently eye tracking technology is a great tool for interaction in the web application for a user with a disability.

Over the past decade eye-tracking technology can help people all over the world access computers through systems that use gaze control. For people with disabilities this technology is a gateway to communication personal expression and inclusion in society. Eye-tracking technology advance has been transferred to the educational area and now the use of interacting with the multimedia materials and resources in the classroom. The objectives of this research are threefold. The first study presented the development of a low-cost eye-tracking device based on video-oculography. The second study examined various factors in which eye movements can be systematically measured to design appropriate of usability in computer-assisted instruction (CAI). The third study created and determine the efficiency of computer-assisted instruction interactive with eyes lesson on knowledge of ASEAN in elementary education for a student with disabled hand control. This research has looked at three design parameters of the dwell-time click alternative interactive button size and placement of the button which suitable for eye tracking interfaces. The evaluation carried out an experiment to compare performance with five students with a disability. Results showed that a combination of big buttons and short dwell-times are most suited for maximizing accuracy and ease of use. Furthermore the efficiency of computer-assisted instruction is 70.0/71.5 and the user’s satisfaction with CAI were at the high level ( =4.27 S.D. 0.79). Consequently eye tracking technology is a great tool to interaction in computer-assisted instruction for Thai students with a disability. x

Nowadays Eye Tracking Technology is one main challenge for developers of new human-computer interface. This technology provides a more natural way of interacting with a computer system by user’s eye. Now commercially available systems exist; however they are not widely used because of expensiveness. This paper describes a tutorial that shows step by step how to build a low-cost eye tracker using eyeglass setup. The glasses are designed to work with video-oculography technique (VOG) in the infrared spectrum. The key features of the eye is a center of the pupil. The gaze point of users are estimated based on order polynomial regression (linear quadratic and cubic). This research conducted an experiment with 30 participants tested eye-gaze calibration. Consequently the experimental results showed that eye-gaze can be estimated in real-time while the cubic function can be accurate eye-gaze position more than the other function.