Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Benli, Emrah(1)
- Hançer, Buse(1)
- Motai, Yuichi(1)
- Rogers, John(1)
- Sop, Aylin(1)
- Özel, Özge(1)
Yayınlar
- MakaleAçık Erişim2025Scopus SJRQ1The effect of Augmented Reality (AR) supported geometric shape learning on children’s visual perceptual development in early childhood education
Özel, Özge; Hançer, Buse; Sop, Aylin
This study examined the impact of an Augmented Reality (AR)-based virtual application on preschool children's visual perception development in geometric shape learning. A quasi-experimental research design was employed. The study sample consisted of 26 preschool children, aged 5–6, from a public school in Türkiye. The children in the experimental group engaged with AR-supported materials, allowing them to explore geometric shapes interactively and listen to their properties in a virtual environment. Each child participated individually in the learning application for 50–60 minutes. The Frostig Visual Perception Test was administered as both a pre-test and post-test. Results indicated that the AR-based learning application had a statistically significant positive effect on preschool children's visual perception development.
AtıfScopus2WoS4OpenAlex4İncele - MakaleYalnız künye2020Scopus SJRQ1Visual Perception for Multiple Human-Robot Interaction from Motion Behavior
Benli, Emrah; Motai, Yuichi; Rogers, John
Visual perception is an important component for human-robot interaction processes in robotic systems. Interaction between humans and robots depends on the reliability of the robotic vision systems. The variation of camera sensors and the capability of these sensors to detect many types of sensory inputs improve the visual perception. The analysis of activities, motions, skills, and behaviors of humans and robots have been addressed by utilizing the heat signatures of the human body. The human motion behavior is analyzed by body movement kinematics, and the trajectory of the target is used to identify the objects and the human target in the omnidirectional (O-D) thermal images. The process of human target identification and gesture recognition by traditional sensors have problem for multitarget scenarios since these sensors may not keep all targets in their narrow field of view (FOV) at the same time. O-D thermal view increases the robots' line-of-sights and ability to obtain better perception in the absence of light. The human target is informed of its position, surrounding objects and any other human targets in its proximity so that humans with limited vision or vision disability can be assisted to improve their ability in their environment. The proposed method helps to identify the human targets in a wide FOV and light independent conditions to assist the human target and improve the human-robot and robot-robot interactions. The experimental results show that the identification of the human targets is achieved with a high accuracy.
AtıfScopus15WoS12OpenAlex16İncele