References
- Aivaliotis, P., K. Georgoulias, and G. Chryssolouris. 2019. “The Use of Digital Twin for Predictive Maintenance in Manufacturing.” International Journal of Computer Integrated Manufacturing 32 (11): 1067–1080. doi:https://doi.org/10.1080/0951192X.2019.1686173.
- Amichai-Hamburger, Y., and G. Vinitzky. 2010. “Social Network Use and Personality.” Computers in Human Behavior 26 (6): 1289–1295. doi:https://doi.org/10.1016/j.chb.2010.03.018.
- Back, M. D., J. M. Stopfer, S. Vazire, S. Gaddis, S. C. Schmukle, B. Egloff, and S. D. Gosling. 2010. “Facebook Profiles Reflect Actual Personality, Not Self-idealization.” Psychological Science 21 (3): 372–374. doi:https://doi.org/10.1177/0956797609360756.
- Baik, J., K. Lee, S. Lee, Y. Kim, and J. Choi. 2016. “Predicting Personality Traits Related to Consumer Behavior Using SNS Analysis.” New Review of Hypermedia and Multimedia 22 (3): 189–206. doi:https://doi.org/10.1080/13614568.2016.1152313.
- Banerjee, A., R. Dalal, S. Mittal, and K. P. Joshi. 2017. “Generating Digital Twin Models Using Knowledge Graphs for Industrial Production Lines.” UMBC Information Systems Department. doi:https://doi.org/10.1145/3091478.3162383.
- Bielefeldt, B., J. Hochhalter, and D. Hartl. 2015. “Computationally Efficient Analysis of SMA Sensory Particles Embedded in Complex Aerostructures Using a Substructure Approach.” ASME 2015 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. doi: https://doi.org/10.1115/SMASIS2015-8975.
- Blignaut, P., and N. Annelie. 2008. “The Influence of Temperament Style on a Student’s Choice of and Performance in a Computer Programming Course.” Computers in Human Behavior 24 (3): 1010–1020. doi:https://doi.org/10.1016/j.chb.2007.03.005.
- Bruynseels, K., F. Santoni de Sio, and J. Hoven. 2018. “Digital Twins in Health Care: Ethical Implications of an Emerging Engineering Paradigm.” Frontiers in Genetics 9: 31. doi:https://doi.org/10.3389/fgene.2018.00031.
- Chen, T. Y., M. C. Tsai, and Y. M. Chen. 2016. “A User’s Personality Prediction Approach by Mining Network Interaction Behaviors on Facebook.” Online Information Review 40 (7): 913–937. doi:https://doi.org/10.1108/OIR-08-2015-0267.
- Collobert, R., and J. Weston. 2008. “A Unified Architecture for Natural Language Processing: Deep Neural Networks with Multitask Learning.” Proceedings of the 25th international conference on Machine learning. doi: https://doi.org/10.1145/1390156.1390177.
- El Saddik, A. 2018. “Digital Twins: The Convergence of Multimedia Technologies.” IEEE MultiMedia 25 (2): 87–92. doi:https://doi.org/10.1109/MMUL.2018.023121167.
- Farnadi, G., G. Sitaraman, S. Sushmita, F. Celli, M. Kosinski, D. Stillwell, S. Davalos, M. F. Moens, and M. D. Cock. 2016. “Computational Personality Recognition in Social Media.” User Modeling and User-adapted Interaction 26 (2–3): 109–142. doi:https://doi.org/10.1007/s11257-016-9171-0.
- Farnadi, G., S. Zoghbi, M. F. Moens, and M. D. Cock. 2013. “Recognising Personality Traits Using Facebook Status Updates.” Seventh International AAAI Conference on Weblogs and Social Media, Cambridge, Massachusetts, USA.
- Funder, D. C. 2001. “Personality.” Annual Review of Psychology 52 (1): 197–221. doi:https://doi.org/10.1146/annurev.psych.52.1.197.
- Gavrilescu, M., and N. Vizireanu. 2017. “Predicting the Sixteen Personality Factors (16PF) of an Individual by Analyzing Facial Features.” EURASIP Journal on Image and Video Processing 2017 (1): 59. doi:https://doi.org/10.1186/s13640-017-0211-4.
- Golbeck, J., C. Robles, and K. Turner. 2011. “Predicting Personality with Social Media.” CHI’11 extended abstracts on human factors in computing systems. doi: https://doi.org/10.1145/1979742.1979614.
- Hassanein, M., W. Hussein, S. Rady, and T. F. Gharib. 2018. “Predicting Personality Traits from Social Media Using Text Semantics.” 2018 13th International Conference on Computer Engineering and Systems (ICCES). doi: https://doi.org/10.1109/ICCES.2018.8639408.
- Hearst, M. A., S. T. Dumais, E. Osuna, J. Platt, and B. Scholkopf. 1998. “Support Vector Machines.” IEEE Intelligent Systems and Their Applications 13 (4): 18–28. doi:https://doi.org/10.1109/5254.708428.
- Hochhalter, J., W. P. Leser, J. A. Newman, V. K. Gupta, V. Yamakov, S. R. Cornell, and G. Heber. 2014. “Coupling Damage-Sensing Particles to the Digitial Twin Concept.” Langley Research Center, National Aeronautics and Space Administration, Hampton, VA. NASA/TM-2014-218257, L-20401, NF1676L-18764.
- Judge, T. A., C. A. Higgins, C. J. Thoresen, and M. R. Barrick. 1999. “The Big Five Personality Traits, General Mental Ability, and Career Success across the Life Span.” Personnel Psychology 52 (3): 621–652. doi:https://doi.org/10.1111/j.1744-6570.1999.tb00174.x.
- Knapp, M. L., and J. A. Daly. 2002. Handbook of Interpersonal Communication. London, United Kingdom: Sage.
- Kosinski, M., D. Stillwell, and T. Graepel. 2013. “Private Traits and Attributes are Predictable from Digital Records of Human Behavior.” Proceedings of the National Academy of Sciences 110 (15): 5802–5805. doi:https://doi.org/10.1073/pnas.1218772110.
- Li, J., F. Tao, Y. Cheng, and L. Zhao. 2015. “Big Data in Product Lifecycle Management.” The International Journal of Advanced Manufacturing Technology 81 (1–4): 667–684. doi:https://doi.org/10.1007/s00170-015-7151-x.
- Li, Y., T. Zhu, A. Li, F. Zhang, and X. Xu. 2011. “Web Behavior and Personality: A Review.” 2011 3rd Symposium on Web Society. doi: https://doi.org/10.1109/SWS.2011.6101275.
- Liu, Y., J. Wang, and Y. Jiang. 2016. “PT-LDA: A Latent Variable Model to Predict Personality Traits of Social Network Users.” Neurocomputing 210: 155–163. doi:https://doi.org/10.1016/j.neucom.2015.10.144.
- Mairesse, F., M. A. Walker, M. R. Mehl, and R. K. Moore. 2007. “Using Linguistic Cues for the Automatic Recognition of Personality in Conversation and Text.” Journal of Artificial Intelligence Research 30: 457–500. doi:https://doi.org/10.1613/jair.2349.
- Marston, M. W. 2013. Emotions of Normal People. Routledge. doi:https://doi.org/10.1037/13390-000.
- McCrae, R. R., and P. T. C. Jr. 1997. “Personality Trait Structure as a Human Universal.” American Psychologist 52 (5): 509. doi:https://doi.org/10.1037//0003-066X.52.5.509.
- Mikolov, T., I. Sutskever, K. Chen, G. S. Corrado, and J. Dean. 2013. “Distributed Representations of Words and Phrases and Their Compositionality.” Advances in neural information processing systems, Lake Tahoe, Nevada, USA.
- Moffitt, K., J. Giboney, E. Ehrhardt, J. K. Burgoon, and J. F. Nunamaker. 2010. “Structured Programming for Linguistic Cue Extraction.” The Center for the Management of Information. http://splice.cmi.arizona.edu
- Mohammad, S., X. Zhu, and J. Martin. 2014. “Semantic Role Labeling of Emotions in Tweets.” Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Baltimore, Maryland, USA.
- Mønsted, B., A. Mollgaard, and J. Mathiesen. 2018. “Phone-based Metric as a Predictor for Basic Personality Traits.” Journal of Research in Personality 74: 16–22. doi:https://doi.org/10.1016/j.jrp.2017.12.004.
- Myers, I. B., M. H. McCaulley, N. L. Quenk, and A. L. Hammer. 2003. MBTI Manual: A Guide to the Development and Use of the Myers-Briggs Type Indicator, 3rd. Palo Alto, CA: Consulting Psychologists Press.
- Nave, G., J. Minxha, D. M. Greenberg, M. Kosinski, D. Stillwell, and J. Rentfrow. 2018. “Musical Preferences Predict Personality: Evidence from Active Listening and Facebook Likes.” Psychological Science 29 (7): 1145–1158. doi:https://doi.org/10.1177/0956797618761659.
- Ozer, D. J., and V. Benet-Martinez. 2006. “Personality and the Prediction of Consequential Outcomes.” Annual Review of Psychology 57: 401–421. doi:https://doi.org/10.1146/annurev.psych.57.102904.190127.
- Park, G., H. A. Schwartz, J. C. Eichstaedt, M. L. Kern, M. Kosinski, D. J. Stillwell, L. H. Ungar, and M. E. P. Seligman. 2015. “Automatic Personality Assessment through Social Media Language.” Journal of Personality and Social Psychology 108 (6): 934. doi:https://doi.org/10.1037/pspp0000020.
- Park, K. T., Y. W. Nam, H. S. Lee, S. J. Im, S. D. Noh, J. Y. Son, and H. Kim. 2019. “Design and Implementation of a Digital Twin Application for a Connected Micro Smart Factory.” International Journal of Computer Integrated Manufacturing 32 (6): 596–614. doi:https://doi.org/10.1080/0951192X.2019.1599439.
- Pennebaker, J. W., and L. A. King. 1999. “Linguistic Styles: Language Use as an Individual Difference.” Journal of Personality and Social Psychology 77 (6): 1296. doi:https://doi.org/10.1037//0022-3514.77.6.1296.
- Pennington, J., R. Socher, and C. Manning. 2014. “Glove: Global Vectors for Word Representation.” Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP), Doha, Qatar.
- Ross, C., E. S. Orr, M. Sisic, J. M. Arseneault, M. G. Simmering, and R. R. Orr. 2009. “Personality and Motivations Associated with Facebook Use.” Computers in Human Behavior 25 (2): 578–586. doi:https://doi.org/10.1016/j.chb.2008.12.024.
- Samani, Z. R., S. C. Guntuku, M. E. Moghaddam, D. Preoţiuc-Pietro, and L. H. Ungar. 2018. “Cross-platform and Cross-interaction Study of User Personality Based on Images on Twitter and Flickr.” PloS One 13 (7): e0198660. doi:https://doi.org/10.1371/journal.pone.0198660.
- Schleich, B., N. Anwer, L. Mathieu, and S. Wartzack. 2017. “Shaping the Digital Twin for Design and Production Engineering.” CIRP Annals 66 (1): 141–144. doi:https://doi.org/10.1016/j.cirp.2017.04.040.
- Smarslok, B., A. Culler, and S. Mahadevan. 2012. “Error Quantification and Confidence Assessment of Aerothermal Model Predictions for Hypersonic Aircraft.” 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference 20th AIAA/ASME/AHS Adaptive Structures Conference 14th AIAA. doi: https://doi.org/10.2514/6.2012-1817.
- Söderberg, R., K. Wärmefjord, J. S. Carlson, and L. Lindkvist. 2017. “Toward a Digital Twin for Real-time Geometry Assurance in Individualized Production.” CIRP Annals 66 (1): 137–140. doi:https://doi.org/10.1016/j.cirp.2017.04.038.
- Stark, R., S. Kind, and S. Neumeyer. 2017. “Innovations in Digital Modelling for Next Generation Manufacturing System Design.” CIRP Annals 66 (1): 169–172. doi:https://doi.org/10.1016/j.cirp.2017.04.045.
- Tadesse, M. M., H. Lin, B. Xu, and L. Yang. 2018. “Personality Predictions Based on User Behavior on the Facebook Social Media Platform.” IEEE Access 6: 61959–61969. doi:https://doi.org/10.1109/ACCESS.2018.2876502.
- Tao, F., F. Sui, A. Liu, Q. Qi, M. Zhang, B. Song, Z. Guo, S. C.-Y. Lu, and A. Y. C. Nee. 2018. “Digital Twin-driven Product Design Framework.” International Journal of Production Research 1–19. doi:https://doi.org/10.1080/00207543.2018.1443229.
- Tao, F., F. Sui, A. Liu, Q. Qi, M. Zhang, B. Song, and A. Y. C. Nee. 2019. “Digital Twin-driven Product Design Framework.” International Journal of Production Research 57 (12): 3935–3953. doi:https://doi.org/10.1080/00207543.2018.1443229.
- Tao, F., H. Zhang, A. Liu., and A. Y. Nee. 2018b. “Digital Twin in Industry: State-of-the-art.” IEEE Transactions on Industrial Informatics 15 (4): 2405–2415. doi:https://doi.org/10.1109/TII.2018.2873186.
- Tao, F., M. Zhang, Y. Liu, and A. Y. C. Nee. 2018a. “Digital Twin Driven Prognostics and Health Management for Complex Equipment.” CIRP Annals 67 (1): 169–172. doi:https://doi.org/10.1016/j.cirp.2018.04.055.
- Tuegel, E. J., A. R. Ingraffea, T. G. Eason, and S. M. Spottswood. 2011. “Reengineering Aircraft Structural Life Prediction Using a Digital Twin.” International Journal of Aerospace Engineering 2011. doi:https://doi.org/10.1155/2011/154798.
- Wu, Y., M. Kosinski, and D. Stillwell. 2015. “Computer-based Personality Judgments are More Accurate than Those Made by Humans.” Proceedings of the National Academy of Sciences 112 (4): 1036–1040. doi:https://doi.org/10.1073/pnas.1418680112.
- Xue, D., L. F. Wu, Z. Hong, S. Guo, L. Gao, Z. Wu, X. Zhong, and J. Sun. 2018. “Deep Learning-based Personality Recognition from Text Posts of Online Social Networks.” Applied Intelligence 48 (11): 4232–4246. doi:https://doi.org/10.1007/s10489-018-1212-4.
- Zhang, C., W. Xu, J. Liu, Z. Liu, Z. Zhou, and D. T. Pham. 2019. “Digital Twin-enabled Reconfigurable Modeling for Smart Manufacturing Systems.” International Journal of Computer Integrated Manufacturing 1–25. doi:https://doi.org/10.1080/0951192X.2019.1699256.
- Zhang, H., Q. Liu, X. Chen, D. Zhang, and J. Leng. 2017a. “A Digital Twin-based Approach for Designing and Multi-objective Optimization of Hollow Glass Production Line.” Ieee Access 5: 26901–26911. doi:https://doi.org/10.1109/ACCESS.2017.2766453.
- Zhang, T., R. Z. Qin, Q. L. Dong, W. Gao, H. R. Xu, and Z. Y. Hu. 2017b. “Physiognomy: Personality Traits Prediction by Learning.” International Journal of Automation and Computing 14 (4): 386–395. doi:https://doi.org/10.1007/s11633-017-1085-8.
- Zhang, W., R. Li, T. Zeng, Q. Sun, S. Kumar, J. Ye, and S. Ji. 2016. “Deep Model Based Transfer and Multi-task Learning for Biological Image Analysis.” IEEE Transactions on Big Data 1. doi:https://doi.org/10.1145/2783258.2783304.