Vol-1680
urn:nbn:de:0074-1680-7

Copyright © 2016 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

EMPIRE 2016
Emotions and Personality in Personalized Systems

Proceedings of the 4th Workshop on Emotions and Personality in Personalized Systems
co-located with ACM Conference on Recommender Systems (RecSys 2016)

Boston, MA, USA, September 16, 2016.

Edited by

Marco Tkalčič (1)
Berardina De Carolis (2)
Marco de Gemmis (2)
Andrej Košir (3)

(1) Free University of Bozen-Bolzano, Italy
(2) University of Bari "Aldo Moro", Italy
(3) University of Ljubljana, Slovenia

Table of Contents

Preface

Long Papers

Adapt to Emotional Reactions in Context-aware Personalization 1-8
Yong Zheng
Investigating the Role of Personality Traits and Influence Strategies on the Persuasive Effect of Personalized Recommendations 9-17
Sofia Gkika, Marianna Skiada, George Lekakos, Panos Kourouthanassis
Personality in Computational Advertising: A Benchmark 18-25
Giorgio Roffo, Alessandro Vinciarelli
Emotion Elicitation in Socially Intelligent Services: the Intelligent Typing Tutor Study Case 26-33
Andrej Košir, Marko Meža, Janja Košir, Matija Svetina, Gregor Strle
Eliciting Emotions in Design of Games - a Theory Driven Approach 34-42
Alessandro Canossa, Jeremy Badler, Magy Seif El-Nasr, Eric Anderson

Short Papers

The Influence of Users' Personality Traits on Satisfaction and Attractiveness of Diversified Recommendation Lists 43-47
Bruce Ferwerda, Mark Graus, Andreu Vall, Marko Tkalčič, Markus Schedl
A Jungian based framework for Artificial Personality Synthesis 48-54
David Mascarenas
A Comparative Analysis of Personality-Based Music Recommender Systems 55-59
Melissa Onori, Alessandro Micarelli, Giuseppe Sansonetti
Recommender System Incorporating User Personality Profile through Analysis of Written Reviews 60-66
Peter Potash, Anna Rumshisky

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2016-09-08: submitted by Marco de Gemmis, metadata incl. bibliographic data published under Creative Commons CC0
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