-------- Forwarded Message --------
Joint Workshop on Interfaces and Human Decision Making for
Recommender Systems
IntRS'22:
https://intrs2022.wordpress.com
Held in conjunction with the ACM Conference on Recommender Systems
(RecSys 2022)
Seattle, WA, USA, 18th-23th September 2022.
Submission deadline: August 5th, 2022
Author notification: August 27th, 2022
Camera-ready version: September 10th, 2022
Submission site
---------------
https://easychair.org/conferences/?conf=intrs2022
Recommender systems are developed to help users in finding items
that match their interests, needs, and preferences. Since the
emergence of recommender systems, the majority of research in this
area focused on improving predictive accuracy of recommendation.
Much 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 necessary
to look beyond algorithms, into users' interactions, decision
making processes, and overall end user experience.
The IntRS workshop series focuses on the 'human side' of
recommender systems. Its goal is to integrate modern HCI
approaches and theories of human decision making into the
construction of recommender systems. It focuses particularly on
the impact of interfaces on decision support and overall
satisfaction. IntRS workshops have been previously held at RecSys
2014, 2015, 2016, 2017, 2018, 2019, 2020 and 2021. Despite the
long history, its popularity is increasing in terms of number of
submissions, participation and interest by the research community.
The aim of the IntRS'22 workshop is to bring together researchers
and practitioners exploring 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. In our opinion, the
workshop will complement the technical aspects mainly discussed at
the Conference with specific topics related to cognitive modeling
and decision making.
Topics of interests include, but are not limited to:
o User Interfaces
- Visual interfaces for recommender systems
- Explanation interfaces for recommender systems
- Ethical issues (Fairness and Biases) in explainable interfaces
- 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
- Explainability of decision making models
- User-adaptive XAI systems
- Human-recommender interaction
- Controllability, transparency, and scrutability
- Decision theories and biases (e.g., priming, framing, and decoy
effects)
- Detection and avoidance/mitigation 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)
Paper Formatting Instructions and Submission
--------------------------------------------
Accepted papers will be included in the workshop proceedings to be
published on the CEUR-WS.org site.
Therefore, we suggest to prepare the submissions according to the
CEUR-ART style for writing papers to be published with CEUR-WS.
Style files and templates are available online:
http://ceur-ws.org/Vol-XXX/CEURART.zip
The format adopted by IntRS '22 is: 1-column style.
We encourage two types of submissions:
- Short/Demo papers. The maximum length is 12 pages in the
CEUR-ART style single-column format.
- Long papers. The maximum length is 18 pages in the CEUR-ART
style single-column 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.
Submission site:
https://easychair.org/conferences/?conf=intrs2022
Registration
------------
At least one author of each accepted paper needs to register and
attend the workshop.
Organizers
----------
Peter Brusilovsky -
peterb@pitt.edu
School of Information Sciences, University of Pittsburgh, USA
Marco de Gemmis -
marco.degemmis@uniba.it
Dept. of Computer Science, University of Bari Aldo Moro, Italy
Alexander Felfernig -
alexander.felfernig@ist.tugraz.at
Institute for Software Technology, Graz University of Technology,
Austria
Pasquale Lops -
pasquale.lops@uniba.it
Dept. of Computer Science, University of Bari Aldo Moro, Italy
Marco Polignano -
marco.polignano@uniba.it
Dept. of Computer Science, University of Bari Aldo Moro, Italy
Giovanni Semeraro -
giovanni.semeraro@uniba.it
Dept. of Computer Science, University of Bari Aldo Moro, Italy
Martijn C. Willemsen -
M.C.Willemsen@tue.nl
Eindhoven University of Technology, The Netherlands
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