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EMPIRE 2014 : 2nd Workshop on Emotions and Personality in Personalized Services


When Jul 7, 2014 - Jul 11, 2014
Where Aalborg
Submission Deadline Apr 1, 2014
Notification Due May 1, 2014
Final Version Due May 15, 2014
Categories    user modeling   affective computing   recommender systems   psychology

Call For Papers


EMPIRE 2014 - 2nd workshop on "Emotions and Personality in
Personalized Services"

in conjunction with UMAP 2014 (July 7-11, 2014 Aalborg, Denmark)


Personality and emotions shape our daily lives by having a strong influence on our preferences, decisions and behaviour in general. Hence, personalized systems that want to adapt to end users need to be aware of the user’s personality and/or emotions to perform well. Affective factors may include long-term personality traits or shorter-term states ranging from ‘affect dispositions’, ‘attitudes’ (liking, loving, hating,…), ‘interpersonal stances’ (distant, cold, warm,…), ‘moods’ (cheerful, irritable, depressed,…) or ‘real emotions’. Recently, there have been extensive studies on the role of personality on user preferences, gaming styles and learning styles. Furthermore, some studies showed that it is possible to extract personality information about a user without annoying questionnaires, by analyzing the publicly available user’s social media feeds. Also, the affective computing community has developed sophisticated techniques that allow for accurate and unobtrusive emotion detection. Generally, emotions can be used in personalized systems in two ways: (i) either to change the emotion (or mood, e.g. from a negative to a positive) or (ii) to sustain the current emotion (e.g. keep a user “charged” while doing sports). Recent studies showed that such information can be used in various personalized systems like emotion-aware recommender systems.

- Adaptation strategies using affect and/or personality (e.g. to different learning styles, openness to diverse content etc.)
- Scenarios/domains where emotions and personality could be utilized effectively
- Privacy issues
- Evaluation measures/strategies
- Emotions as context
- Emotions in the decision-making process for recommender systems
- Role of personality on user similarities
- Emotion detection in recommended content consumption
- Emotion detection as non-invasive feedback
- Affective tagging of multimedia content and services
- Emotion-based evaluation metrics (satisfaction...)
- Lifestyle recommender systems
- Personality and mood for group decision making
- Incorporating personality and emotions in user models
- Datasets for affective modeling (collecting, available)
- Personality traits acquisition (explicit and implicit)
- Personality and interfaces/control/bubble-control
- Could interfaces/control/bubble-control be personalized based on personality traits
- Personality and users’ tasks/goals
- Social signal processing for personalized services
- Strategies for modeling emotions and personality
- Detecting triggers and causes of emotion
- Theories about the relationship between reasoning and affect, between decision-making and affect
- Methods for evaluating the utility of adaptation to affective factors
- Personality-based preference elicitation

We accept two kinds of submissions: (i) full papers (up to 12 pages) and (ii) short papers (up to 6 pages). Submissions should be made through the EasyChair conference system:

and must adhere to the Springer LNCS format ( All the submissions will be peer-reviewed. The accepted papers will be published in a CEUR-WS volume.

Authors may wish to consider submitting thoroughly extended versions of their manuscripts to the UMUAI Special Issue on Personality in Personalized Services ( ).

Further information can be found on the workshop's web page

April, 1, 2014 Paper submission deadline
May, 1, 2014 Notification of acceptance
To Be Announced Workshop day

Marko Tkalčič, Johannes Kepler University Linz, Austria / University of Ljubljana, Slovenia
Berardina De Carolis, University of Bari Aldo Moro, Italy
Marco de Gemmis, University of Bari Aldo Moro, Italy
Ante Odić, Outfit7 (Slovenian subsidiary Ekipa2 d.o.o.), Ljubljana, Slovenia
Andrej Košir, University of Ljubljana, Slovenia

Aleksander Valjamae, Linköping University, Sweden
Alessandro Vinciarelli, Glasgow University, UK
Floriana Grasso, Liverpool University, UK
Francesco Ricci, Free University of Bolzano, Italy
Giovanni Semeraro, Universita di Bari, Italy
Ioannis Arapakis, Yahoo! BCN, Spain
Ivan Cantador, Universidad Autónoma de Madrid, Spain
Li Chen, Hong Kong Batist University
Luca Chittaro, University of Udine, Italy
Man Kwan Shan, National Chengchi University, China
Maria Nunes, University of Sergipe, Brazil
Matt Dennis, University of Aberdeen, UK
Mehdi Elahi, Free University of Bolzano, Italy
Mohammad Soleymani, Imperial College, UK
Neal Lathia, Cambridge University, UK
Olga Santos, UNED, Spain
Oliver Brdizcka, PARC, USA
Pasquale Lops, Universita di Bari, Italy
Pearl Pu, EPFL, Switzerland
Rong Hu, EPFL, Switzerland
Sabine Graf, Athabasca University, Canada
Stephen Fairclough, Liverpool John Moore University, UK
Viviana Patti, University of Torino, Italy
Yi-Hsuan (Eric) Yang, Academia Sinica, Taipei

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