Uganda is a country blessed with the biggest number of mountain Gorillas in the whole world. These animals contribute at least 12% in revenue generation to the Tourism sector through tracking by both local and foreign tourists who pay for the tracking permits. However, Gorilla tracking is also a big challenge even in the presence of highly skilled and well-trained game rangers. Development and implementation of a secure Computer and Mobile based Gorilla Tracking (GT) system that uses GIS and GPS technologies would be the most ideal technology to use. Therefore, this study aimed to find out the critical factors that would affect the Behavioral Intention of the would-be users to successfully decide to use such GIS/GPS-GT system. We used the existing UTAUT model to integrate six factors such as Performance Expectancy, Effort Expectancy, Employee Peer Influence, Facilitating Conditions, Behavioral Intention and System Use. However, Infrastructure Availability and Non-Technical Facilitating Conditions were added to reflect Ugandan ICT context. This amended UTAUT model was used to carry out the survey. The questionnaire was emailed to 220 government employees in the fields of ICT, Tour and Travel, Environmental Groups officials and Farmers who garden near the game reserves. A total of 133 were obtained fully completed, whereas 127 were deemed usable thus yielding a response rate of 58%. The analysis results show that except for non-technical facilitating conditions, effort expectancy, peer influence, performance expectancy and infrastructure availability positively affects behavioral Intention to use GIS/GPS-GT. This indicates that people in Uganda don’t bother about regulations and rules in regard to using information system. As long as the system does what they want it to, anything else does not matter. As an employee in an organization is told to use a system by their supervisor, they have no objection to otherwise they risk losing their job. This implies that, supervisors have a great responsibility in the process of developing, implementing and using the system in Uganda.

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.

영상 처리에서 전경 이미지 추출은 움직이는 대상이나 객체를 인식하려는 경우에 주로 응용 된다. 게임에서 전경 이미지에 포함되는 객체들은 주로 캐릭터와 NPC(Non Player Character), 아이템 등이 될 수 있다. 이 객체들은 플레이어들의 이동, 공격, 방어, 수집의 대상이 되는 객체 들로 플레이어들의 주요 관심 대상이 될 수 있다. 본 연구는 이러한 배경에서, 플레이어들의 관 심 영역을 추출하기 위한 연구이다. 이를 위해, 첫째, 전경 이미지를 추출한다. 둘째, 추출한 전 경 이미지를 일정시간 누적시켜서 히트맵(Heat Map) 이미지를 결과 이미지로 보여준다. 마지막 으로 마우스 트랙킹 프로그램을 이용하여 마우스 이동 영역을 검출하고 히트맵 이미지와 비교 함으로써 플레이어의 관심 영역을 유도할 수 있다.

In this paper, we deal with the performance evaluation method of user identification and user tracking for intelligent robots using face images. This paper shows general approaches for standard evaluation methods to improve intelligent robot systems as well as their algorithms. The evaluation methods proposed in this paper can be combined with the evaluation methods for detection algorithms of face region and facial components to measure the overall performance of face recognition in intelligent robots.