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 - [log in to unmask]
School of Information Sciences, University of Pittsburgh, USA

Marco de Gemmis - [log in to unmask]
Dept. of Computer Science, University of Bari Aldo Moro, Italy

Alexander Felfernig - [log in to unmask]
Institute for Software Technology, Graz University of Technology, Austria

Pasquale Lops - [log in to unmask]
Dept. of Computer Science, University of Bari Aldo Moro, Italy

Marco Polignano - [log in to unmask]
Dept. of Computer Science, University of Bari Aldo Moro, Italy

Giovanni Semeraro - [log in to unmask]
Dept. of Computer Science, University of Bari Aldo Moro, Italy

Martijn C. Willemsen - [log in to unmask]
Eindhoven University of Technology, The Netherlands

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