Adaptive User Interface를 적용한 교통정보안내단말기 설계

Abstract

Traffic information terminals are installed in major intensive public transportation regions and bus stops to provide not only traffic information but also additional information. However, the development of devices or systems to provide information has a problem of making user interfaces complicated and because of this, problems such as reduced ability to use or learn and efficiency arise when users use traffic information terminals. To solve this problem, this study is intended to compare and analyze the AUI(Adaptive User Interface) techniques applied to mobiles, e-commerce and web portal sites and establish the AUI algorithm suitable to traffic information terminals and virtual traffic information terminals in order to present and verify a traffic information terminal applied with AUI. For this study, the user interfaces of traffic information terminals currently installed in Korea and the information provided by them will be first analyzed. The study cases and theories of AUI techniques were analyzed to examine the techniques to be applied to traffic information terminals. AUI techniques include two techniques, that are, the situation information technique and the user act based technique and these two techniques were examined. From the results of the examination, the characteristics and applicable areas of AUI techniques were classified. As for the analyses of the present state of traffic information terminals, the interfaces, the information provided and the present state of operation of the terminals installed at bus stops, subway stations, railway stations and airports were examined. TAGO that is currently in operation is a KIOSK type terminal which is a conversation type terminal to converse with users utilizing a touch screen. The user interface and user logs of TAGO were analyzed in order to analyze the characteristics and requirements of the traffic information terminals. Based on the characteristics and use trend record of TAGO derived through the analyses, two algorithms to predict situation information and user behaviors were designed and applied to a virtual traffic information terminal. Based on the results of experiments conducted by applying the above mentioned algorithms , in the experiment of the AUI technique considering situation information, user interfaces appeared with priorities changed into those pursuant to menu icons and periods depending on the characteristics of time and periods and in relation to the behaviors of users, a result was shown that the length of time to reach the service to be received decreased through the prediction of the next path. AUI techniques were applied to traffic information terminals and as a result, it could be seen that manus could be automatically changed and prediction paths could be provided and that the paths for users to go through to receive final services could be reduced. However, the experiment at the virtual traffic information terminal which is not situations at actually installed traffic information terminals has imperfect results and cannot completely verify the results that would occur in actual applications. In this respect, future studies should apply the two algorithms suggested in this study to the terminals currently in operation and review and revise the algorithms based on the results. And, as the devices and systems develop, traffic information terminals may also have continuously increasing functions and information. Consequently, the characteristics and purpose of use of traffic information terminals will be also changed and algorithms suitable to these should be developed.