The Workshop on Computational Personality Recognition 2014 is a challenge-based shared task at its second edition and will be held in conjunction to ACMMM on novemebr 7. The main goals of the workshop is to define the state-of-the-art and release data/tools for a standard evaluation of computational personality recognition. Organizers warmly invite contributors working in
Personality Recognition
Data Mining, 
Computational Psychology, 
Natural Language Processing, 
Social Network Analysis, 
Sentiment Analysis,
Opinion Mining,
Mood Detection, 
Deception Detection, 
Information Extraction, 
Human-Computer Interaction, 
Authorship Attribution,
and other related areas,
to submit papers and participate to the competition.
Task organizers will provide an introductory paper to summarize the results and describe the task. The results of the workshop will be available to the public. 

Organizers will provide two gold standard labelled datasets and one evaluation tool.
 we fixed a bug in the class labels of both datasets on May 9, please download the data split, the Mobile Personality dataset and the Evaluation tool again for the correct class labels.
The  shared task is structured in two tracks: one open track and two competitions. 
  • Track 1a: competition on multimodal personality recognition. Contributors are required to use the Youtube personality dataset or the Mobile personality dataset to: 
    1) develop their own system for personality type classification, that generates the predictions in the format required by the evaluation tool; 
    2) submit a short paper (max. 4 pages, including references) indicating "multimodal personality recognition" in the keywords, and reporting all the information about features, resources and techniques used in the experiments. 
    3) report predictions file while submitting the paper. 
  • Track 1b: competition on personality recognition from text. Contributors are required to use only the text transcriptions from the Youtube personality dataset to: 
    1) develop their own system for personality type classification, that generates the predictions in the format required by the evaluation tool; 
    2) submit a short paper (max. 4 pages, including references) indicating "personality recognition from text" in the keywords, and reporting all the information about features, resources and techniques used in the experiments. 
    3) report predictions file while submitting the paper. 
  • Track 2: open shared task. Contributors are required to: 
    1) 
    use at least one of the datasets provided by the organizers; 
    2) submit a short paper (max. 4 pages, including references) indicating "personality shared task" in the keywords, and discussing their results. Contributors are allowed to use any other corpus or resource, including the ones released in the previous edition of the workshop, to provide useful comparisons between personality recognition and other research fields.
Organizers warmly invite contributors working in Personality Recognition to test their systems on the datasets released. Other researchers or teams that wish to use the datasets for the tasks listed above are more than welcome. Contributors are allowed to participate to more than one task.
Papers must be short (max 4 pages, including references), formatted according to the ACMMM14 templates, anonymous, and delivered via easychair no later than July 8, 2014.
The Programme committee will evaluate and select the papers for publication on the basis of 1) performance, 2) clarity, 3) correctness, 4) meaningful comparison, 5) significance of the results, 6) soundness and replicability. Negative results will be considered as important as positive results.
Selected papers will be published in the workshop proceedings and will be presented as posters at the workshop. 
The best papers could be invited to submit an extended version for a journal special issue in personality recognition.


Francisco Iacobelli (Northwestern University)
Michal Kosinski (Psychometrics Centre, University of Cambridge)
Evgeny Stepanov (University of Trento)
Marco Guerini (FBK)
Elia Bruni (CIMeC)
Alastair Gill (King's College London)
Matteo Magnani (Uppsala University)
Scott Nowson (Xerox Research Center Europe)
Paolo Rosso (University of Valencia)
Albert Ali Salah (Bogazici University)
Oya Aran (Idiap Research Institute)
Nicola Conci (University of Trento)
Ben Verhoeven (University of Antwerp)
Jacopo Staiano (University of Trento)
Yves-Alexandre de Montjoye (MIT Media Lab)
Luca Rossi (University of Copenhagen)
Walter Daelemans (University of Antwerp)


March 10, 2014: first CFP
April 7, 2014: data release (final)
April 7, 2014: second CFP
June 13, 2014: official baselines release
July 11, 2014: paper due date (extended)
August 1, 2014: notification of acceptance
August 24, 2014: camera-ready deadline
November 7, 2014: Workshop.


8.30 - 9.00 (EST) Welcome and Introduction to WCPR14
9.00 - 9.30 (EST) Keynote: Hayley Hung (From multi-party to multi-multi-party social behaviour analysis)
9.30 - 10.00 (EST) Oral session 1 (chair: Bruno Lepri, FBK) 
10.00 - 10.30 (EST) break
10.30 - 11.00 (EST) Oral session 2 (chair: Fabio Celli, UniTN)
11.00 - 12.00 (EST) Poster session

Oral Session 1

Oral Session 2



Please write to Fabio Celli for info about the workshop.
The organizers of the WCPR14 are:

Computational Linguist at the University of Trento, Italy. He works in Personality Recognition, Text mining, NLP, Social Network Analysis. He got the PhD in Cognitive and brain sciences - Language Interaction and Computation at CIMeC, university of Trento. He developed a system for domain adaptation in personality recognition from text, and produced dataset annotated with personality from Facebook and Twitter. He is the organizer of the first Workshop on Computational Personality Recognition

He is a researcher at Fondazione Bruno Kessler (FBK) and affiliate researcher at MIT Media Lab. From January 2014, he lead the Mobile and Social Computing Lab at FBK. He is currently responsible for research tasks definition of Mobile Territorial Lab, a joint initiative of Telecom Italia, FBK, MIT Media Lab, and Telefonica. In 2010 he won a Marie Curie Cofund post-doc fellow and he has hold post-doc positions at FBK and at MIT Media Lab. In 2009, he received his Ph.D. in Computer Science from the University of Trento. His research interests include computational social science, big data and personal data, pervasive and ubiquitous computing, and human behavior understanding.

He is the Head the Social Computing Group at Idiap and Member of the Scientific College. At EPFL, and Maitre d'Enseignement et de Recherche (MER), and member of the Center for Digital Education (CEDE). His recent research has focused on computational methods that integrate a variety of sensor data to understand conversational behavior in social video sites, to mine individual, collective, and urban trends using smartphone and mobile social network data. He has served as Associate Editor of the IEEE Transactions on Multimedia, Image and Vision Computing, Machine Vision and Applications, and the Journal of Ambient Intelligence and Smart Environments. He received his PhD from the University of Washington, Seattle.

He is a postdoctoral researcher at EPFL and Idiap. He holds a PhD degree from EPFL (2013), and an M.S. from the Technical University of Catalonia (2008). He was visiting researcher at the International Computer Science Institute (ICSI, Berkeley) between 2008 and 2009, and interned at HP Labs and Yahoo! Research. His research has focused on the analysis of human communication, interaction, and multimedia engagement with online social video in sites such as YouTube, addressing the automatic analysis of conversational video blogs (vlogs).

He is founder and director of the Signals and Interactive Systems Lab and the Director of the Master in Human Language Technologies and Interfaces at the Department of Information Engineering and Computer Science, University of Trento. He received his Laurea degree in Electrical Engineering and Master in Information Technology in 1991, from the University of Padua and CEFRIEL/Politechnic of Milan, respectively. He has been on the scientific and organizing committee of EUROSPEECH, INTERSPEECH, ICASSP, NAACL, EMNLP, ACL an EACL. He has co-organized the IEEE ASRU Workshop.  He has been the Guest Editor of the IEEE Special Issue on Speech-to-Speech Machine Translation. He has been a founder and Editorial Board member of the ACM Transactions of Speech and Language Processing. He has been elected member of the IEEE SPS Speech Technical Committee (2005-2008). He is member of ACL, ISCA, ACM and Fellow of IEEE. His research focus is on Spoken Language Understanding and Automatic Assessments of Personality Traits from Speech and Social Media.

Neuropsychologist and Computer scientist, he served as Head of the Cognitive and Communication Technology division at ITC-irst, head of the joint FBK-UniTn “Computational Cognition Laboratory” and manager of the Ambient Assisted Living activities of FBK. He is now Research Director of EIT ICT Labs, the ICT Knowledge and Innovation Community of the European Institute of Innovation and Technology , Vice-President of EIT ICT Labs Italy and Vice-Director for Research at Trento RISE. He served as chair of the Advisory Board of ACM-ICMI, the International Conference on Multimodal Interfaces, and is member of the Steering Board of the Italian Association for Ambient Assisted Living (AItAAL). He is member of the editorial board of the Springer Series on Human Computer Interaction, has served as guest editor of special issues of The Journal of Language Resources and Evaluation, the Journal of Personal and Ubiquitous Computing, Computer and Cybernetics. His current research interests include Independent Living; Human Behaviour Analysis and Life Logging; Social Computing.