User:Fabio.celli/sandbox
Personality computing is a research field related to Artificial intelligence and Personality psychology addressing three main problems involving personality with methods of computer science, namely automatic personality recognition, perception and synthesis[1].
Automatic personality recognition is the inference of personality type of target individuals from their digital footprint), automatic personality perception is the inference of the personality attributed by an observer to a target individual based on her observable behavior, and automatic personality synthesis is the generation of the style or behaviour of artificial personalities in Avatars and Virtual agents.
A set of individuals self-assessed personality test or observer ratings is always exploited as the ground truth for testing and validating the performance of artificial intelligence algoritms for automatic predictions. Despite a wide variety of personality tests have been developed, such as the Myers Briggs Type Indicator (MBTI)[2] or the MMPI, and a number of tests based on the Five Factor Model of personality, such as the Revised NEO Personality Inventory [3].
History
[edit]Personality computing begun around 2005 with few pioneering research works showing that personality traits could be inferred with reasonable accuracy from text, such as blogs and self-presentations[4][5][6], and email addresses[7].
Few years later begun the research in personality computing from multimodal and social signals, such as recorded meetingsCite error: The <ref> tag has too many names (see the help page). and voice calls[8].
In the 2010s the main research focus of personality computing is the extraction of personality types from social media, in particular from Facebook[9][10][11], Twitter[12] and Instagram[13]
Many works demonstrated the validity of Personality Computing from different human digital footprints, in particular the performance of algorithms recognizing personality types is very high exploiting user preferences such as Facebook page likesCite error: The <ref> tag has too many names (see the help page).. The most recent advancements in Personality Computing showed that machines can recognize personality better than humans[14].
References
[edit]- ^ [1]Vinciarelli, Alessandro, and Gelareh Mohammadi. "A survey of personality computing." IEEE Transactions on Affective Computing 5.3 (2014): 273-291.
- ^ Isabel Briggs Myers and Peter B Myers. 2010. Giftsdiffering: Understanding personality type. Davies-Black Publishing.
- ^ Paul T Costa and Robert R McCrae. 2008. The re-vised neo personality inventory (neo-pi-r).In G.J.Boyle, G Matthews and D. Saklofske (Eds.). TheSAGE handbook of personality theory and assessment2:179–198
- ^ Argamon, Shlomo, et al. "Lexical predictors of personality type." (2005).
- ^ Oberlander, Jon, and Scott Nowson. "Whose thumb is it anyway?: classifying author personality from weblog text." Proceedings of the COLING/ACL on Main conference poster sessions. Association for Computational Linguistics, 2006.
- ^ Mairesse, François, et al. "Using linguistic cues for the automatic recognition of personality in conversation and text." Journal of artificial intelligence research 30 (2007): 457-500.
- ^ Back, Mitja D., Stefan C. Schmukle, and Boris Egloff. "How extraverted is honey. bunny77@ hotmail. de? Inferring personality from e-mail addresses." Journal of Research in Personality 42.4 (2008): 1116-1122.
- ^ Mohammadi, Gelareh, and Alessandro Vinciarelli. "Automatic personality perception: Prediction of trait attribution based on prosodic features." IEEE Transactions on Affective Computing 3.3 (2012): 273-284.
- ^ Quercia, Daniele, et al. "The personality of popular Facebook users." Proceedings of the ACM 2012 conference on computer supported cooperative work. ACM, 2012.
- ^ Schwartz, H. Andrew, et al. "Personality, gender, and age in the language of social media: The open-vocabulary approach." PloS one 8.9 (2013): e73791.
- ^ [2]Celli, Fabio, Elia Bruni, and Bruno Lepri. "Automatic personality and interaction style recognition from facebook profile pictures." Proceedings of the 22nd ACM international conference on Multimedia. ACM, 2014.
- ^ Golbeck, Jennifer, et al. "Predicting personality from twitter." Privacy, Security, Risk and Trust (PASSAT) and 2011 IEEE Third Inernational Conference on Social Computing (SocialCom), 2011 IEEE Third International Conference on. IEEE, 2011.
- ^ Ferwerda, Bruce, Markus Schedl, and Marko Tkalcic. "Predicting personality traits with instagram pictures." Proceedings of the 3rd Workshop on Emotions and Personality in Personalized Systems 2015. ACM, 2015.
- ^ Youyou, Wu, Michal Kosinski, and David Stillwell. "Computer-based personality judgments are more accurate than those made by humans." Proceedings of the National Academy of Sciences 112.4 (2015): 1036-1040.