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<p class="Abstract">This paper introduces a system designed to support conducting experiments of subjects when the situation does not allow experimenter and subject to be in the same place such as the COVID19 pandemic where everyone relied on video conference applications which has its limitation. Due to the difficulty of directing with a video conferencing system using solely video and voice.</p><p class="Abstract">The system we developed allows an experimenter to actively watch and interact with the subject. Even if you're operating from a distant area, it is still possible to conduct experiments. Another important aspect this study will focus on is the case of when there are several subjects required and the experimenter must be able to guide both subjects equally well. The system proposed uses a 6 DoF robotic arm with a camera and a laser pointer attached to it on the subject side. The experimenter uses a head-mounted display to control it and it moves corresponding to the head movement allowing for easy instruction and intervention to the subject side. Comparison with other similar research is also covered. The study will focus mainly on which viewing method is the easiest for the experimenter to use, and if teaching one subject at the time gives better results than teaching two subjects simultaneously.</p>

This paper introduces a novel interface ‘3D head pointer’ for the operation of a wearable robotic arm in 3D space. The developed system is intended to assist its user in the execution of routine tasks while operating a robotic arm. Previous studies have demonstrated the difficulty a user faces in simultaneously controlling a robotic arm and their own hands. The proposed method combines a head-based pointing device and voice recognition to manipulate the position and orientation as well as to switch between these two modes. In a virtual reality environment, the position instructions of the proposed system and its usefulness were evaluated by measuring the accuracy of the instructions and the time required using a fully immersive head-mounted display (HMD). In addition, the entire system, including posture instructions with two switching methods (voice recognition and head gestures), was evaluated using an optical transparent HMD. The obtained results displayed an accuracy of 1.25 cm and 3.56° with the 20-s time span necessary for communicating an instruction. These results demonstrate that voice recognition is a more effective switching method than head gestures.

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