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Workshop on Emotions and Personality in Personalized Systems (EMPIRE) in conjunction with ACM RecSys 2016.
The previous editions of the workshop have been successful, with spin-off publications, such as the upcoming edited Springer volume (http://www.springer.com/gp/book/9783319314112 ), two special issue in the UMUAI journal (http://www.umuai.org/news_on_journal.html ) and a focus section in the IxD&A journal ( http://www.mifav.uniroma2.it/inevent/events/idea2010/index.php?s=102&link=call28fs ). We look forward to another great edition.
Extended versions of the submitted papers will have the possibility to be considered for the Special Issue in the Computers journal (Thomson Reuters Emerging Sources Citation Index).
Slides
The slides of the presentations are available. Thanks to the presenters for sharing them.
A Comparative Analysis of Personality-Based Music Recommender Systems
Adapt to Emotional Reactions In Context-aware Personalization
A Jungian based framework for Artificial Personality Synthesis
Eliciting Emotions in Design of Games – a Theory Driven Approach
Recommender System Incorporating User Personality Profile through Analysis of Written Reviews
Personality in Computational Advertising: A Benchmark
Emotion Elicitation in Socially Intelligent Services: the Intelligent Typing Tutor Study Case
Photos
Photos from the workshop are available here: Photos
Proceedings
The proceedings is now online at http://ceur-ws.org/Vol-1680/
Final Schedule
Downloadable PDF
| 9:00 | SESSION 1
chair: Marko Tkalcic |
||
| intro | Marko Tkalcic | Welcome | |
| short
|
Melissa Onori, Alessandro Micarelli, Giuseppe Sansonetti | A Comparative Analysis of Personality-Based Music Recommender Systems | |
| long | Sofia Gkika, Marianna Skiada, George Lekakos, Panos Kourouthanassis | Investigating the Role of Personality Traits and Influence Strategies on the Persuasive Effect of Personalized Recommendations | |
| short | David Mascarenas | A Jungian based framework for Artificial Personality Synthesis | |
| 10:30 | COFFEE BREAK | ||
| 11:00 | SESSION 2
chair: Andrej Košir |
||
| long | Yong Zheng | Adapt to Emotional Reactions In Context-aware Personalization | |
| short | Bruce Ferwerda, Mark Graus, Andreu Vall, Marko Tkalcic, Markus Schedl | The Influence of Users’ Personality Traits on Satisfaction and Attractiveness of Diversified Recommendation Lists | |
| long | Giorgio Roffo, Alessandro Vinciarelli | Personality in Computational Advertising: A Benchmark | |
| 12:30 | LUNCH BREAK | ||
| 14:00 | SESSION 3
chair: Yong Zheng |
||
| long | Andrej Kosir, Marko Meža, Janja Košir, Matija Svetina, Gregor Strle | Emotion Elicitation in Socially Intelligent Services: the Intelligent Typing Tutor Study Case | |
| short | Peter Potash, Anna Rumshisky | Recommender System Incorporating User Personality Profile through Analysis of Written Reviews | |
| long | Alessandro Canossa, Jeremy Badler, Eric Anderson, Magy Seif El-Nasr | Eliciting Emotions in Design of Games – a Theory Driven Approach | |
| Marko Tkalcic | Wrap up |
List of Accepted Papers
| Bruce Ferwerda, Mark Graus, Andreu Vall, Marko Tkalcic, Markus Schedl | The Influence of Users’ Personality Traits on Satisfaction and Attractiveness of Diversified Recommendation Lists |
| Melissa Onori, Alessandro Micarelli, Giuseppe Sansonetti | A Comparative Analysis of Personality-Based Music Recommender Systems |
| Yong Zheng | Adapt to Emotional Reactions In Context-aware Personalization |
| David Mascarenas | A Jungian based framework for Artificial Personality Synthesis |
| Sofia Gkika, Marianna Skiada, George Lekakos, Panos Kourouthanassis | Investigating the role of personality traits and influence strategies on the persuasive effect of personalized recommendations |
| Giorgio Roffo, Alessandro Vinciarelli | Affective Computational Advertising: A Benchmark |
| Peter Potash, Anna Rumshisky | Recommender System Incorporating User Personality Profile through Analysis of Written Reviews |
| Andrej Kosir, Marko Meža, Janja Košir, Matija Svetina, Gregor Strle | Emotion elicitation in socially intelligent services |
| Alessandro Canossa, Jeremy Badler, Magy Seif El-Nasr, Eric Anderson | Eliciting Emotions in Design of Games – a Theory Driven Approach |
Background
The RecSys research community has done a tremendous job in the last decade on exploiting various data sources to improve recommendations through sophisticated algorithms. The workshop complements these core RecSys activities by pushing the agenda of taking into account user-centric aspects, such as emotions and personality, into the RecSys framework. In fact, personality and emotions shape our daily lives by having a strong influence on our preferences, decisions and behaviour in general. In recent years, emotions and personality have shown to play an important role in various aspects of recommender systems, such as implicit feedback, contextual information, affective content labeling, cold-start problem, diversity, cross-domain recommendations, group recommendations etc. With the development of robust techniques for the unobtrusive acquisition of emotions (e.g. from various modalities, such as video or physiological sensors) and personality (e.g. from social media) the time is right to take advantage of these possibilities to collect massive datasets and improve recommender systems.
Venue
The workshop will be in conjunction with ACM RecSys 2016 in Boston (MIT). It is currently scheduled for Friday, 16. September, 2016. It will take place at the Massachusetts Institute of Technology (MIT) and the IBM Research campuses.
Organization
Chairs:
Marko Tkalcic, Free University of Bolzano, Italy
Berardina De Carolis, University of Bari Aldo Moro, Italy
Marco de Gemmis, University of Bari Aldo Moro, Italy
Andrej Kosir, University of Ljubljana, Slovenia
Program committee:
Ioannis Arapakis, Eurecat
Matthias Braunhofer, Free University of Bozen-Bolzano
Iván Cantador, Universidad Autónoma de Madrid
Fabio Celli, University of Trento
Sabine Graf, Athabasca University
Li Chen, Hong Kong Baptist University
Matt Dennis, University of Aberdeen
Mehdi Elahi, Politecnico di Milano
Bruce Ferwerda, Computational Perception – Johannes Kepler University
Peter Knees, Johannes Kepler University
Fang Fei Kuo, University of Washington
Neal Lathia, University of Cambridge
Matija Marolt, University of Ljubljana
Fedelucio Narducci, University of Bari Aldo Moro
Giuseppe Palestra, University of Bari
Viviana Patti, University of Turin
Matevž Pesek, Laboratory for Computer Graphics and Multimedia, Faculty of Computer and Information Science, University of Ljubljana, Slovenia
Marco Polignano, Università degli Studi di Bari Aldo Moro
Olga C. Santos, aDeNu Research Group (UNED)
Björn Schuller, University of Passau / Imperial College London
Giovanni Semeraro, University of Bari
Man-Kwan Shan, National Chengchi University
Yi-Hsuan Yang, Academia Sinica
Martijn Willemsen, Eindhoven University of Technology
Yong Zheng, DePaul University
Call for Papers
This edition of the workshop is collaborating with the journal Computers (http://www.mdpi.com/journal/computers), which is covered by the Emerging Sources Citation Index (ESCI-Web of Science).
The topics include but are not limited to:
– usage of affect to improve personalized systems
– usage of personality to improve personalized systems
– implicit detection of affect for personalized systems
– implicit detection of personality for personalized systems
– computational models of emotion and personality
– affect and personality as contextual factors
– affect as implicit feedback
– affect and personality in cross domain recommenders
– affect and personality as user/item similarities
– affect and personality-based evaluation methods
– affect and personality in applications (e.g. movie recommenders, music recommenders, e-learning, people-to-people recommenders etc.)
– affect and personality with human decision making
– affect and personality in group recommenders
– affect and personality for the cold-start problem
– privacy aspects of the usage of affect and personality in personalized systems
– affect and personality in connection to social media
Submission Instructions
We accept three kinds of submissions:
(i) long technical papers (up to 12 pages)
(ii) short technical papers (up to 8 pages)
(iii) white papers/position statements (up to 8 pages)
Submissions should be done through the easychair conference system:
https://easychair.org/conferences/?conf=empire2016
and must adhere to the new ACM SIG Proceedings format. You can download the Word and Latex templates here: http://www.acm.org/publications/article-templates/proceedings-template.html/
All the submissions will be peer-reviewed. The reviewing process will be double-blind so the authors should remove the author names (or any other traces that might reveal the authorship, such as affiliations, acknowledgment of sponsors, direct references to previous work etc.) from the submission.
The accepted papers will be published in a CEUR-WS volume (ISSN 1613-0073).
Important Dates
| Submission deadline | |
| Notification date | |
| Camera-ready deadline | |
| Early-bird registration | |
| Workshop day | 16. September 2016 |
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