The Implementation of Artificial Intelligence in Geometry Validation for Psychomotor Aspect Assessment
- DOI
- 10.2991/assehr.k.210423.088How to use a DOI?
- Keywords
- artificial intelligence, psychomotor, Assessment
- Abstract
Nowadays, many various of geometry validation tools produced to validate the shapes drawn automatically. The tools are useful to create geometry shape, for example: vertices, edges, and faces. This paper proposed a technique in geometry validation using an artificial intelligence (AI). The proposed method is to develop a 3D virtual environment for VR application. To support these circumstances, we use Oculust Rift and leap motion control. First, user will create random shapes in a system and the system do the validation. Second, after the validation, the system will show a correct information if the shape is correct. However, the system will show an incorrect information, if the shape is incorrect. Each point of shape that drawn will be marked and will be checked by the system. Last, Leap Motion Controller will match the hand gesture and the shape result. A virtual world will be show in Oculus Rift. This is necessary for the user in order to create a real feeling in the virtual world and do the interaction using leap motion control. This research aims also to do an evaluation of psychomotor aspect for the user. Several students in elementary school already tested and have a high interest, since the application is very useful and interactive.
- Copyright
- © 2021, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Siska Arifiani AU - Umi Laili Yuhana AU - Ridho Rahman Hariadi AU - Faturochman Pranacahya Andrianto PY - 2021 DA - 2021/04/26 TI - The Implementation of Artificial Intelligence in Geometry Validation for Psychomotor Aspect Assessment BT - Proceedings of the International Conference on Educational Assessment and Policy (ICEAP 2020) PB - Atlantis Press SP - 200 EP - 204 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.210423.088 DO - 10.2991/assehr.k.210423.088 ID - Arifiani2021 ER -