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DOI: 10.14569/IJACSA.2022.01309119
PDF

An Algorithm for Providing Adaptive Behavior to Humanoid Robot in Oral Assessment

Author 1: Dalia khairy
Author 2: Salem Alkhalaf
Author 3: M. F. Areed
Author 4: Mohamed A. Amasha
Author 5: Rania A. Abougalala

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 9, 2022.

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Abstract: Assistance humanoid robots (AHR) are the category of robotics used to offer social interaction to humans. In higher education, the teaching staff supports the acceptance of AHRs as a social assistance tool during the learning activities, with the whole responsibility of the correct operation of the device and providing a more comprehensive view of the objectives and significance of AHR use. On the other hand, students deal with AHRs either as a friend or control figures as a teacher. This paper presents an algorithm for AHRs in oral assessments. The proposed algorithm focuses on four characteristics: adaptive occurrence, friendly existence, persuasion, and external appearance. This paper integrates AHRs in higher education to improve the value of psychological and social communication during oral assessment where can assist students in dealing with challenges, such as shyness, dissatisfaction, hesitation, and confidence, better than a human teacher can. Thus, AHRs have increased students’ self-confidence and enriches active learning.

Keywords: Algorithm; humanoid robot; social robots; oral assessment; assistance robots; higher education; adaptive behavior robot

Dalia khairy, Salem Alkhalaf, M. F. Areed, Mohamed A. Amasha and Rania A. Abougalala, “An Algorithm for Providing Adaptive Behavior to Humanoid Robot in Oral Assessment” International Journal of Advanced Computer Science and Applications(IJACSA), 13(9), 2022. http://dx.doi.org/10.14569/IJACSA.2022.01309119

@article{khairy2022,
title = {An Algorithm for Providing Adaptive Behavior to Humanoid Robot in Oral Assessment},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.01309119},
url = {http://dx.doi.org/10.14569/IJACSA.2022.01309119},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {9},
author = {Dalia khairy and Salem Alkhalaf and M. F. Areed and Mohamed A. Amasha and Rania A. Abougalala}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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