This study identifies challenges in user interface design for applying Augmented Reality (AR) technology to support work for individuals with intellectual disabilities. The main focus is on difficulty in self-assessing fatigue levels. The research methodology involved conducting experiments using HoloLens 2, analyzing changes in biometric information during fatigue, and examining the relationship between information display position and head orientation. Results indicate that changes in head height and orientation could potentially serve as fatigue indicators. In conclusion, while AR technology is effective in supporting work for individuals with intellectual disabilities, special considerations are necessary. Fatigue detection using biometric information and optimization of information display positions are crucial, and these findings may lead to safer and less burdensome use of AR.

We have identified two problems for people with intellectual disabilities when using Augmented Reality (AR) devices. One is not noticing the presented information and the other is the difficulty in pressing buttons in the AR space. To solve the first problem, we propose two methods to attract a user's attention, one is to place the information window near the user's gaze point, and dynamically adapt the window based on eye-tracking data. The other is to blink the information window. As a solution to the second problem, we propose a method that detects the user's button-pressing gesture, and when the gesture is detected, the system presses the button on behalf of the user. The effectiveness of the proposed methods was validated through the user studies with 7 participants of varying degrees of intellectual disability involved.

Inflorescence trimming is a crucial process to produce high-quality table grapes. It can eliminate nutrient competition in a bunch and makes it less vulnerable to disease development. After trimming, the remaining part of the inflorescence should have a target length decided by the grape variety. This is challenging for novice farmers because of the time constraint. The farmer needs to finish trimming the inflorescence before the berries develop. This paper proposes a novel end-to-end inflorescence length measurement method for supporting a trimming process with augmented reality technology. The proposed technique makes use of the state-of-the-art deep neural network model for detecting the inflorescence area, as well as the scissors from the images captured with a camera installed on an optical see-through head-mounted display. A new algorithm is designed to estimate the length of the remaining inflorescence with the screw of the scissors loop as the calibrator. The estimated length is then visualized on the head-mounted display to support the farmer in performing the trimming correctly and efficiently. The experiment, conducted with real inflorescence trimming tasks, shows that the mean absolute error of the length estimation is only 0.19 cm, which is small enough for use in real applications.

Augmented reality (AR) is a technology that expands information by superimposing digital information, such as virtual objects, on the real world using smartphones, smart glasses, and head-mounted displays. It is used in a variety of situations. In this paper, we propose a system that allows vine farmers to investigate effectively the vegetation condition of trellising-style vineyards using a head mounted display and AR technology. The experiment results show that by using a hybrid navigation approach include showing the whole vineyard in a small window and showing the details only, when necessary, the proposed system enable the farmers to move to a location with concern accurately.