As an interactive intelligent system,
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 ready to look beyond algorithms, into
users’ interactions, decision making processes
and overall experience.
This workshop focuses on integrating
different theories of human decision making into
the construction of recommender systems. This
year it will focus particularly on the impact of
interfaces on decision support and overall
satisfaction.
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. 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. We particularly encourage demos
and mock-ups of systems to be used as a basis of
a lively and interactive discussion in the
workshop.
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Topics of interests include, but are not
limited to:
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User Interfaces
* Visual interfaces for recommender systems
* Explanation interfaces for recommender
systems.
* Collaborative multi-user interfaces (e.g.,
group decision making in e-tourism)
* Spoken and natural language interfaces
* Trust-aware interfaces
* Social interfaces
* Context-aware interfaces
* Ubiquitous and mobile interfaces
* Conversational interfaces
* Example- and demonstration-based interfaces
* New approaches to designing interfaces for
recommender systems
* User interfaces for decision making (e.g.,
decision strategies and user ratings)
Interaction, user modeling and
decision-making
* Cognitive Modeling for recommender systems
* Human-recommender interaction
* Controllability, transparency and
scrutability
* Decision theories in recommender systems
(e.g., priming, framing, and decoy effects)
* Preference detection (e.g., eye tracking
for automated preference detection)
* The role of emotions in recommender systems
(e.g., emotion-aware recommendation)
* Trust inspiring recommendation (e.g.,
explanation-aware recommendation)
* Argumentation and Persuasive recommendation
(e.g., argumentation-aware recommendation)
* Cultural differences (e.g., culture-aware
recommendation)
* Mechanisms for effective group decision
making (e.g., group recommendation heuristics)
* Decision theories for effective group
decision making (e.g., hidden profile
management)
* Detection and avoidance of decision biases
(e.g., in item presentations)
Evaluation
* Case studies
* Empirical studies and evaluations of new
interfaces
* Empirical studies and evaluations of new
interaction designs
* Evaluation methods and metrics (e.g.,
evaluation questionnaire design)
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Submissions
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We invite two kinds of submissions which
address novel interface issues in recommender
systems:
• Short papers. The maximum length is 4 pages
in the standard ACM SIG proceedings.
• Long papers. The maximum length is 8 pages
in the standard ACM SIG proceedings format.
Submitted papers will be evaluated according
to their originality, technical content, style,
clarity, and relevance to the workshop.
Additional weight will be given to papers that
include alternative modes of presentation such
as demos, playing out of scenarios, mockups, and
alternate media such as video. The workshop will
include an interactive demo session, where we
look forward to seeing and discussing innovative
interface designs.
Each paper will be reviewed by at least 3
independent referees. Accepted papers will
published in workshop proceedings on the
CEUR-WS.org site. Further, we will approach
several journals such as ACM TiiS and TIST to
organize a special issue on this topic,
selecting the most qualified papers for journal
publications. Note that at least one author of
each accepted paper needs to register and attend
the workshop.
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Program committee
======================
Anthony Jameson, DFKI, Germany
Robin Burke, DePaul University, USA
Shlomo Berkovsky, NICTA, Australia
Li Chen, Hong Kong Baptist University
Jaegul Choo, Georgia Tech, USA
Jill Freyne, CSIRO, Australia
Gerhard Friedrich, Alpen-Adria-Universitaet
Klagenfurt
Franca Garzotto, Politecnico di Milano,
Italy
Marco de Gemmis, Dipartimento di
Informatica, University of Bari
Cleotilde Gonzalez, Carnegie Mellon
University, USA
Sergiu Gordea, AIT, Austria
Tobias Hollerer, University of California,
Santa Barbara, USA
Dietmar Jannach, TU Dortmund, Germany
Henry Lieberman, MIT Media Lab, USA
Bart Knijnenburg, University of California,
Irvine, USA
Joseph Konstan, University of Minnesota,
USA
Gerald Ninaus, Graz University of
Technology, Austria
Denis Parra, PUC, Chile
Francesco Ricci, Free University of
Bozen-Bolzano, Italy
Olga Santos, aDeNu, Spain
Christin Seifert, Universitet Passau,
Germany
Martijn Willemsen, Eindhoven University of
Technology, Netherlands
Julita Vassileva, University of
Saskatchewan
Jesse Vig, Palo Alto Research Center
Markus Zanker, Alpen-Adria-Universitaet
Klagenfurt
======================
Organizers
======================
Dept. of Computer Science, University Of
Aberdeen, UK
Dept. of Computer Science, University of
California, Santa Barbara
School of Information Sciences, University of
Pittsburgh
Institute for Software Technology, Graz
University of Technology, Austria
Dept. of Computer Science, University of Bari
“Aldo Moro”, Italy
Dept. of Computer Science, University of Bari
“Aldo Moro”, Italy