Predicting a Communication Capacity and Superficial Properties from Asynchronous Video Talk
Keywords:
Artificial intelligence, video interviews, Tensor flow, outward appearanceAbstract
As artificial intelligence is utilized to perceive people personality traits, the instinctual examination of video interviews has become a dynamic territory of exploration and this paper primarily focuses on creating artificial intelligence-based start to finish cross-examine framework utilizing asynchronous video interview preparing and it likewise utilizes an engine which carries out programmed character acknowledgment it is tensor stream artificial intelligence engine, which perceives dependent on the property drawn out from asynchronous video interview and it additionally considers the genuine character scores from outward appearance.
References
A. Basu, A. Dasgupta, A. Thyagharajan, A. Routray, R. Guha, and P. Mitra, ‘‘A portable personality recognizer based on affective state classification using spectral fusion of features,’’ IEEE Trans. Affective Comput., vol. 9, no. 3, pp. 330–342, Jul./Sep. 2018.
B. W. Swider, M. R. Barrick, and T. B. Harris, ‘‘Initial impressions: What they are, what they are not, and how they influence structured interview outcomes,’’ J. Appl. Psychol., vol. 101, no. 5, pp. 625–638, May 2016.
D. Xue et al., ‘‘Personality recognition on social media with label distribution learning,’’ IEEE Access, vol. 5, pp. 13478–13488, 2017.
G. Pons and D. Masip, ‘‘Supervised committee of convolutional neural networks in automated facial expression analysis,’’ IEEE Trans. Affective Comput., vol. 9, no. 3, pp. 343–350, Jul./Sep. 2018.
Hung‑Yue Suen, Kuo‑EnHung and Chien‑Liang Lin,“Tensor Flow-Based Automatic Personality Recognition used in Asynchronous Video Interviews” IEEE Access, May 22, 2019.
Hung-Yue Suen, Kuo-EN Hung, And Chien-Liang Lin , “TensorFlow-Based Automatic Personality Recognition Used in Asynchronous Video Interviews,” IEEE Access, May 22, 2019.
Hung‑Yue Suen, Kuo‑En Hungand Chien‑Liang Lin, Intelligent video interview agent used to predict communication skill and perceived personality traits.
Hung‑YueSuen, Kuo‑En Hung andChien‑Liang Lin,Intelligent video interview agent used to predict communication skill and perceived personality traits.
K. Bregar and M. Mohorčič, ‘‘Improving indoor localization using convolutional neural networks on computationally restricted devices,’’ IEEE Access, vol. 6, pp. 17429–17441, 2018.
L. R. Goldberg, ‘‘the development of markers for the big-five factor structure,’’ Psychol. Assessment, vol. 4, no. 1, pp. 26–42, Mar. 1992.
L. Zheng, L. R. Goldberg, Y. Zheng, Y. Zhao, Y. Tang, and L. Liu, ‘‘Reliability and concurrent validation of the IPIP big-five factor markers in China: Consistencies in factor structure between Internet-obtained heterosexual and homosexual samples,’’ Personality Individual Differences, vol. 45, no. 7, pp. 649–654, Nov. 2008.
M. M. Tadesse, H. Lin, B Xu, and L.Yang, ‘‘Personality predictions based on user behavior on the facebook social media platform,’’ IEEE Access, vol. 6, pp. 61959–61969, 2018.
S. Escalera, X. Baró, I. Guyon, and H. J. Escalante, ‘‘Guest editorial: Apparent personality analysis,’’ IEEE Trans. Affective Comput., vol. 9, no. 3, pp. 299–302, Jul./Sep. 2018.
S. Rasipuram, S. B. P. Rao, and D. B. Jayagopi, ‘‘Asynchronous video interviews vs. face-to-face interviews for communication skill measurement: A systematic study,’’ in Proc. 18th ACM Int. Conf. Multimodal Interact., Tokyo, Japan, 2016, pp. 370–377.
S. Yang and B. Bhanu, ‘‘Understanding discrete facial expressions in video using an emotion avatar image,’’ IEEE Trans. Syst. Man, Cybern. B, Cybern., vol. 42, no. 4, pp. 980–992, Aug. 2012.