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First call for papers:
Joint Workshop on Interfaces and Human Decision Making for Recommender Systems
IntRS’21: https://intrs2021.wordpress.com


Held in conjunction with the ACM Conference on Recommender Systems (RecSys 2021)
Amsterdam, Netherlands, 27th September-1st October 2021.



Submission deadline: 20th of July, 2021

Submission via: https://easychair.org/conferences/?conf=intrs2021
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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 necesary to look beyond algorithms, into users’ interactions,
decision making processes, and overall end user experience.

The IntRS workshop series focuses on the human-centric aspects 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 2016, 2017, 2018, 2019, and 2020.

The aim of the IntRS’21 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 technologies and evaluation methodologies, (2) identify next key challenges in the area, and (3) identify emerging topics.

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.

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Topics of interest for the workshop include, but are not limited to:
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Interaction, user modeling, and decision-making

* Cognitive modeling for recommender systems
* Human-recommender interaction
* Modeling of long- and short-term preferences
* Decision theories and biases (e.g., priming, framing, and decoy effects)
* Detection and mitigation of decision biases (e.g., in item presentations)
* Preference elicitation (e.g., eye tracking for automated preference elicitation)
* Emotions and mood in recommender systems (e.g., emotion‐aware recommendation)
* Personality in recommender systems (e.g., personality-aware recommendation)
* Trust inspiring recommender systems and interfaces (e.g., explanation-aware recommendation)
* Controllability, transparency, and scrutability
* 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


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


Evaluation

* Case studies
* Benchmarking platforms
* Empirical studies and evaluations of interfaces for recommender systems
* 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/Demo papers. The maximum length is 8 pages in the new single-column format.
• Long papers. The maximum length is 14 pages in the new 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.


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

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Organizers
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Peter Brusilovsky
School of Information Sciences, University of Pittsburgh, USA
peterb@pitt.edu

Marco de Gemmis
Dept. of Computer Science, University of Bari “Aldo Moro”, Italy
marco.degemmis@uniba.it

Elisabeth Lex
Graz University of Technology, Austria
elisabeth.lex@tugraz.at

Pasquale Lops
Dept. of Computer Science, University of Bari “Aldo Moro”, Italy
pasquale.lops@uniba.it

Giovanni Semeraro
Dept. of Computer Science, University of Bari “Aldo Moro”, Italy
giovanni.semeraro@uniba.it

Martijn C. Willemsen
Eindhoven University of Technology, The Netherlands
M.C.Willemsen@tue.nl