Joint Workshop on Interfaces and Human Decision Making in Recommender Systems

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Copyright © 2014 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors. As interactive intelligent systems, recommender systems are developed to suggest items that match users’ preferences. Since the emergence of recommender systems, a large majority of research has focused on objective accuracy criteria and less attention has been paid to how users interact with the system and the efficacy of interface designs from users’ perspectives. The field has reached a point where it is ready to look beyond algorithms, into users’ interactions, decision making processes and overall experience. Accordingly, the goals of the workshop are to explore the human aspects of recommender systems, with a particular focus on the impact of interfaces and interaction design on decision-making and user experiences with recommender systems, and to explore methodologies to evaluate these human aspects of the recommendation process that go beyond traditional automated approaches.

The aim is to bring together researchers and practitioners around the topics of designing and evaluating novel intelligent interfaces for recommender systems in order to: (1) share research and techniques, including new design technologies and evaluation methodologies (2) identify next key challenges in the area, and (3) identify emerging topics.

The workshop covers three interrelated themes: a) user interfaces (e.g. visual interfaces, explanations), b) interaction, user modeling and decision-making (e.g. decision theories, argumentation, detection and avoidance of biases), and c) evaluation (e.g. case studies and empirical evaluations).

This workshop aims at creating an interdisciplinary community with a focus on the interface design issues for recommender systems and promoting collaboration opportunities between researchers and practitioners.

The workshop consists of a mix of eight presentations of papers in which results of ongoing research as reported in these proceedings are presented and one invited talk by Julita Vassileva presenting “Visualization and User Control of Recommender Systems”.

The workshop is closed by a final discussion session.

Nava Tintarev, John O’Donovan,

Giovanni Semeraro and Pasquale Lops

Peter

Brusilovsky,

Alexander

Felfernig,

Organizing Committee

Workshop Co-Chairs

Nava Tintarev, University of Aberdeen, UK

John O’Donovan, University of California, Santa Barbara

Peter Brusilovsky, University of Pittsburgh

Alexander Felfernig, Graz University of Technology, Austria

Giovanni Semeraro, University of Bari "Aldo Moro", Italy

Pasquale Lops, University of Bari "Aldo Moro", Italy

Program Committee

Invited presentation

Visualization and User Control of Recommender Systems Julita Vassileva

Accepted papers

De-Biasing User Preference Ratings in Recommender Systems Gediminas Adomavicius, Jesse Bockstedt, Shawn Curley, Jingjing Zhang If You Liked Herlocker et al.'s Explanations Paper, then You Might Like This Paper Too Derek Bridge, Kevin Dunleavy Choicla: Intelligent Decision Support for Groups of Users in the Context of Personnel Decisions Martin Stettinger, Alexander Felfernig An Empirical Study on the Persuasiveness of Fact-based Explanations for Recommender Systems Markus Zanker, Martin Schoberegger 33 1 2 10 14 22 28 37

References