Automated Training for Job Interviews
|© 2020 by IJCTT Journal|
|Year of Publication : 2020|
|Authors : Rochelle Cordeiro, Anol Kurian, Brinel D`souza, Brijmohan Daga|
|DOI : 10.14445/22312803/IJCTT-V68I3P115|
How to Cite?
Rochelle Cordeiro, Anol Kurian, Brinel D`souza, Brijmohan Daga, "Automated Training for Job Interviews," International Journal of Computer Trends and Technology, vol. 68, no. 3, pp. 74-79, 2020. Crossref, 10.14445/22312803/IJCTT-V68I3P115
Every individual has to face an interview at least once at some point in their life, but have you ever wondered why one gets rejected even though they satisfy the required educational bars set by companies? Our paper aims at providing a computational framework to analyze supplemental features that go along with subjective knowledge such as facial expressions (e.g., smiles, frowns), language (e.g., word count, textual expression) and prosodic information. The framework aims to be tweakable to suit different companies and their needs by taking technical parameters from previously placed alumni while also checking for coherence with the candidates’ CV. It can thus be used to train candidates to better articulate themselves in an interview.
Convolutional Neural Network, Emotion Recognition, Prosodic Features, Lexical Features, Interview Training
 Naim, M. I. Tanveer, D. Gildea and M. E. Hoque, "Automated Analysis and Prediction of Job Interview Performance," in IEEE Transactions on Affective Computing, vol. 9, no. 2, pp. 191-204, 1 April-June 2018.
 S. Rasipuram, S. B. P. Rao and D. B. Jayagopi, "Automatic prediction of fluency in interface-based interviews," 2016 IEEE Annual India Conference (INDICON), Bangalore, 2016, pp. 1-6.
 L. Chen, R. Zhao, C. W. Leong, B. Lehman, G. Feng and M. E. Hoque, "Automated video interview judgment on a large-sized corpus collected online," 2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII), San Antonio, TX, 2017, pp. 504-509.
 H. Suen, K. Hung and C. Lin, "TensorFlow-Based Automatic Personality Recognition Used in Asynchronous Video Interviews," in IEEE Access, vol. 7, pp. 61018-61023, 2019.
 S. E. Bekhouche, F. Dornaika, A. Ouafi and A. Taleb-Ahmed, "Personality Traits and Job Candidate Screening via Analyzing Facial Videos," 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Honolulu, HI, 2017, pp. 1660-1663.
 A. T. Rupasinghe, N. L. Gunawardena, S. Shujan and D. A. S. Atukorale, "Scaling personality traits of interviewees in an online job interview by vocal spectrum and facial cue analysis," 2016 Sixteenth International Conference on Advances in ICT for Emerging Regions (ICTer), Negombo, 2016, pp. 288-295.
 Dachapally, Prudhvi. (2017). Facial Emotion Detection Using Convolutional Neural Networks and Representational Autoencoder Units
 Ambady, N., & Rosenthal, R. (1993). Half a minute: Predicting teacher evaluations from thin slices of nonverbal behavior and physical attractiveness. Journal of Personality and Social Psychology, 64(3), 431–441`
 R. Chauhan, K. K. Ghanshala and R. C. Joshi, "Convolutional Neural Network (CNN) for Image Detection and Recognition," 2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC), Jalandhar, India, 2018, pp. 278-282.
 N. Jmour, S. Zayen and A. Abdelkrim, "Convolutional neural networks for image classification," 2018 International Conference on Advanced Systems and Electric Technologies (IC_ASET), Hammamet, 2018, pp. 397-402.
 Goodfellow, et al. “Challenges in Representation Learning: A Report on Three Machine Learning Contests.” ArXiv.org, 1 July 2013.
 M. Fallahnezhad, M. Vali and M. Khalili, "Automatic Personality Recognition from reading text speech," 2017 Iranian Conference on Electrical Engineering (ICEE), Tehran, 2017, pp. 18-23.
 K. Goyal, K. Agarwal and R. Kumar, "Face detection and tracking: Using OpenCV," 2017 International conference of Electronics, Communication and Aerospace Technology (ICECA), Coimbatore, 2017, pp. 474-478.
 Böhlen, Marc. (2016). Watson Gets Personal. Notes on ubiquitous psychometrics.
 Mehrabian, Albert. Nonverbal communication. Transaction Publishers, (1975) ISBN 0-202-30966-5.