Authors :
H A A Prabhashvara; Dr. Nuwan Kodagoda
Volume/Issue :
Volume 8 - 2023, Issue 1 - January
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3HZfIGR
DOI :
https://doi.org/10.5281/zenodo.7635485
Abstract :
These days, engaging in an interview might be
difficult for many people due to the challenges like lack
of social or technical capabilities, insecurity,
introversion, etc. Therefore, consistent practice is
strongly advised in order to solve the mentioned issues
and enhance their performance as a whole. Simulated
interviews are one of the greatest methods for getting
ready for the interviews, but there aren’t many chances
to get real-world experience and objective feedback on
one’s skills and weaknesses before an actual interview.
The developed solution enables interviewees to rehearse
digitally while having their behavioral responses and
answer choices evaluated in real-time, thereby
attempting to address the aforementioned issues.
Keywords :
Digital Human, Facial Feature Extraction, Artificial Intelligence.
These days, engaging in an interview might be
difficult for many people due to the challenges like lack
of social or technical capabilities, insecurity,
introversion, etc. Therefore, consistent practice is
strongly advised in order to solve the mentioned issues
and enhance their performance as a whole. Simulated
interviews are one of the greatest methods for getting
ready for the interviews, but there aren’t many chances
to get real-world experience and objective feedback on
one’s skills and weaknesses before an actual interview.
The developed solution enables interviewees to rehearse
digitally while having their behavioral responses and
answer choices evaluated in real-time, thereby
attempting to address the aforementioned issues.
Keywords :
Digital Human, Facial Feature Extraction, Artificial Intelligence.
