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Giovanni Semeraro <[log in to unmask]>
Wed, 29 Jul 2020 12:43:23 +0200
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Joint Workshop on Interfaces and Human Decision Making for Recommender
Systems

 

IntRS'20: intrs2020.wordpress.com

 

Held in conjunction with the ACM Conference on Recommender Systems (RecSys
2020). 

Note: due to concerns about COVID-19, RecSys 2020 will go fully virtual.

 

 

Submission deadline: August 4th, 2020

Author notification: August 21st, 2020

Camera-ready version: September 7th, 2020

 

 

Submission site 

---------------

https://easychair.org/conferences/?conf=intrs2020

 

 

As an interactive intelligent system, recommender systems are developed to
give recommendations that match users' preferences. Since the emergence of
recommender systems, a large majority of research focuses 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.

 

 

This workshop will focus on the aspect of integrating different theories of
human decision making into the construction of recommender systems. It will
focus particularly on the impact of interfaces on decision support and
overall satisfaction.

 

 The aim of the workshop 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 establishing an interdisciplinary community with a
focus on the interface design issues for recommender systems and promoting
the 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.

 

 

Topics of interests include, but are not limited to:

 

 

o User Interfaces

  - Visual interfaces for recommender systems

  - Explanation interfaces for recommender systems

  - Collaborative multi-user interfaces (e.g., for group decision making)

  - 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)

 

 

o Interaction, user modeling, and decision-making

  - Cognitive Modeling for recommender systems

  - Human-recommender interaction

  - Controllability, transparency, and scrutability

  - Decision theories and biases (e.g., priming, framing, and decoy effects)

  - Detection and avoidance of decision biases (e.g., in item presentations)

  - 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)

  - Voting Advice Applications

 

 

o Evaluation

  - Case studies

  - Benchmarking platforms

  - Empirical studies and evaluations of new interfaces

  - Empirical studies and evaluations of new interaction designs

  - Evaluation methods and metrics (e.g., evaluation questionnaire design)

 

 

 

Submissions

-----------

 

Submission site: 

 

https://easychair.org/conferences/?conf=intrs2020

 

 

We encourage 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 format.

 

  - 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.

 

For short papers we will encourage alternative modes of presentation such as
demos, playing out of scenarios, mockups, and alternate media such as video.

 

Demonstration sessions will provide the opportunity to show innovative
interface designs for recommender systems.

 

 

Each paper will be reviewed by at least 3 independent referees.

 

Accepted papers will published in workshop proceedings on the CEUR-WS.org
site. Note that at least one author of each accepted paper needs to register
and attend the workshop.

 

 

Organizers

----------

 

Peter Brusilovsky - [log in to unmask] <mailto:[log in to unmask]> 

School of Information Sciences, University of Pittsburgh, USA

 

Marco de Gemmis - [log in to unmask] <mailto:[log in to unmask]> 

Dept. of Computer Science, University of Bari "Aldo Moro", Italy

 

Alexander Felfernig - [log in to unmask]
<mailto:[log in to unmask]> 

Institute for Software Technology, Graz University of Technology, Austria

 

Pasquale Lops - [log in to unmask] <mailto:[log in to unmask]> 

Dept. of Computer Science, University of Bari "Aldo Moro", Italy

 

John O'Donovan - [log in to unmask] <mailto:[log in to unmask]> 

Dept. of Computer Science, University of California, Santa Barbara

 

Giovanni Semeraro - [log in to unmask]
<mailto:[log in to unmask]> 

Dept. of Computer Science, University of Bari "Aldo Moro", Italy

 

Martijn C. Willemsen - [log in to unmask] <mailto:[log in to unmask]> 

Eindhoven University of Technology, The Netherlands

 


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