Tour application have a lot of information to offer. Because smart phones’ screen is small, it is necessary to efficiently organize user interface(UI). To have a quantity analysis on human's' attention affected by layout position in tour application UI design, an experiment was proposed and then the data analysis was done. Thirty subjects took part in our experiment and 20 tour application layout images divided into four area of interest (AOI) were taken as the stimulus randomly. Data was recorded by the Tobi Pro X2-30 eye tracker system. The heat maps and gaze plot results were analyzed. And then One-way ANOVA (analysis of variance) statistical method was applied to finding out the significant difference in factor levels. Results show that the active area and eye movements tracking roads within statistic meaning. Moreover, ANOVA (F = 24.28, p = 2.21267e􎂡15 < 0.01) shows that the different positions have significance difference effect on subjects' attention and mean of AOI (4) is a significant difference from other three area. And then the influence degree of AOI (4) (F = 13.90, p = 0.098 > 0.05) is weaker than other regions through the simple test. In conclusion, the tour applications should be considered the layout position effects on improving the attraction for corresponding users.

Many researches have been performed on eye tracking technology and its major researches include mobile UI measurement, navigation, internet web measurement, measurement of TV concentration. However, a research on evaluating concentration of mobile gamer has not been performed so far. In this study, a possibility of being able to provide mobile game designer with data for concentration measurement was verified by measuring concentration of mobile gamer based on GazePlot, HeatMap, Cluster by utilizing eye tracking technology. In addition, based on the result of measuring eye tracking experiment, several advantages for objectivity, differentiation and complementarities of eye tracking technology were suggested. In order to measure suggested experiment result, an experiment was performed by using eye tracking system software (Tobii Mobile Device Stand for 2x2) and data, graph that could be utilized as reference data at the time of game development in the future were presented by identifying concentrated part and not concentrated part in playing a game after measuring concentration by each age group.

Recently, the technology for smart phones has shown a quantum leap so the market share of mobile games is gradually increasing. User Interface(UI) is a crucial factor in the success of a mobile game. Thus, the mobile game UI evaluation is undoubtedly important. Currently, survey and heuristic evaluation methods are widely used in terms of evaluation. However, these methods have not been proven to show the user experiences. This study suggests a new method using ‘eye tracking’ technology which focuses on where on the mobile screen the user concentrates the most, where the user shows the most interest and how the user’s eyes move on the screen. Experiments have been conducted to verify the availability of eye tracking technology along with the differences between the traditional methods and the eye tracking method.

This study employed the eye-tracking method to investigate the nature of game players' visual attention on the game's GUI(graphic user interface) elements during game play. The genre of the game (shooting and driving games), the points of view of the game (1st person vs. 3rd person POV), and the game player's proficiency were taken into account to examine their effects on the game player's visual attention. A within-between subject experimental study was conducted (N=26). The results illustrate that the game genre was not a meaningful predictor for neither the frequency or the total duration of visual element per interface element. The point of view had a significant main effect on the game player's frequent change of their eye movement across different elements. The proficiency of game player's gaming skill significantly altered the game player's frequency and duration of visual attention. Proficient gamers were more efficient in distributing their visual attention across various elements of the GUI.

본 연구에서는 향후 두려움을 줄이기 위한 야간경관계획에 시사점을 제안하기 위하여 아이트래킹 방법을 적용하여 다양한 야간경관의 유형에 따른 두려움을 조사하였다. 이를 위하여 대표적인 야간경관의 유형으로 선정된 6가지 종류의 야간경관별 두려움의 정도를 7점 리커드 척도로 평가하는 동시에 피조사자가 각 야간경관을 응시할 때 눈의 움직임을 아이트래커(eye tracker)로 분석하였다. 아이트래킹 조사에서 눈의 움직임을 평가하기 위하여 사용한 변수는 눈 고정 횟수(fixation count), 눈 움직임 경로 길이(scan path length), 총 지속 시간(total duration)이었으며 피조사자들의 시선 이동 및 방향, 주목점을 파악하기 위하여 움직임 경로(scan path)와 주목 분포도(heat map)도 함께 분석되었다. 조사 결과, 야간경관별 두려움의 차이는 유의한 것으로 조사되었으며 야간경관 유형 중 모든 방향으로 열려있는 야간경관이 피조사자들에게 가장 안전하게 인식되는 것으로 조사되었다. 또한 야간경관의 유형에서 길의 폭 및 주변 건물에 의하여 만들어지는 공간감이 유사한 환경이라면, 부수적인 나무, 구조물, 가로등 등 경관요소는 두려움 지각의 차이에 영향을 미치지 않는 것으로 나타났다. 주목 분포도(heat map) 분석을 통한 시지각 주목 강도는 대부분의 야간경관 유형에서 길이 끝나는 지점과 그 주변부를 응시하는 빈도가 높은 것으로 나타났다. 본 연구에서는 공간, 장소를 연구하는 분야에서 사람들의 주목하는 관심 구역(AOI: Area of Interests)을 객관적으로 밝혀낼 수 있는 아이트래킹 방법을 적용했다는 것에서 큰 기여를 하였다고 할 수 있다. 향후 연구에서는 본 연구의 내용을 바탕으로, 두려움 외에 다른 변수들을 적용하여 주목도가 높았던 구역이 의미하는 바에 대한 심층적인 고찰이 필요하다고 판단된다.