[CFP] IntRS’24 @ RecSys24 - 11th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems

*11**th****Joint Workshop on Interfaces and Human Decision Making
for Recommender Systems (IntRS’24)*

*IntRS'24:*_https://intrs2024.wordpress.com/ 
<https://intrs2023.wordpress.com/>_
Held in conjunction with the ACM Conference on Recommender Systems 
(*RecSys 2024*)
Bari, 14th-18th October 2024


******** *DEADLINE* ********

- *Paper submission deadline*: *August 30th, 2024*

- *Author notification*: September 20th, 2024

- *Camera-ready version deadline*: September 27th, 2024

*************************



*Submission site*

---------------
https://easychair.org/conferences/?conf=recsys2024workshops 
<https://easychair.org/conferences/?conf=recsys2024workshops>

A fundamental challenge in the design of the user interface for 
recommender systems lies in striking the *right balance between 
personalization, diversity, and serendipity*. While users want 
recommendations aligned with their tastes and past behavior, excessive 
personalization risks creating an echo chamber effect, curtailing 
exploration and discovery. This is where interfaces that offer a range 
of options, unexpected recommendations, and delightful, serendipitous 
finds can make the user experience truly dynamic and rewarding. 
Moreover, the rise of large language models such as */GPT, Mistral, and 
LLaMA has pushed recommender systems research into new territory/*, 
requiring a more comprehensive exploration.

Topics of interest include, but are not limited to:

*User Interfaces*

  * Visual interfaces
  * Explanation interfaces
  * 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
  * UIs counteracting decision manipulation
  * User interfaces and cognitive overload
  * Psychological aspects of privacy-aware recommendation interfaces
  * Generative AI for Recommender Systems interfaces


*Interaction, user modeling, and decision-making*

  * Cognitive Modeling for Recommender Systems
  * Symbiotic recommender systems
  * Explainability of decision-making models
  * User-adaptive XAI systems
  * Controllability, transparency, and scrutability of decision-making
    models
  * Decision theories and biases (e.g., priming, framing, and decoy effects)
  * Detection and avoidance of decision biases (e.g., in item presentations)
  * Preference elicitation and construction (e.g., eye tracking for
    automated preference elicitation)
  * The role of emotions in recommender systems (e.g., emotion-aware
    recommendation)
  * Trust inspiring UIs (e.g., explanation-aware RSs)
  * Argumentation & persuasive recommendation (e.g., aspects of nudging
    in RSs)
  * 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
  * Human-LLMs interaction, prompting, and chaining


*Evaluation*

  * User-centric evaluation for Symbiotic AI interfaces
  * Application descriptions and related case studies in Human-Centered
    Recommender Systems
  * Benchmarking platforms for Human-Centered Recommender Systems
  * Empirical studies and evaluations of new interfaces
  * Empirical studies and evaluations of new interaction designs
  * Evaluation methods and metrics (e.g., evaluation questionnaire design)
  * Psychological aspects in user-centric evaluation
  * Case studies



*Paper Formatting Instructions and Submission *
--------------------------------------------
Accepted papers will be included in the workshop proceedings published 
on the *CEUR-WS.org* site.

We will invite two kinds of submissions, which address novel interface 
issues in recommender systems by following the new 2022 *CEUR-ART – 1 
Column papers style* (https://ceur-ws.org/Vol-XXX/CEURART.zip 
<https://ceur-ws.org/Vol-XXX/CEURART.zip>):

  - *Short/Demo papers*. The maximum length is *8 pages* (plus up to 2 
pages of references).
* - Long papers. *The maximum length is *16 pages* (plus up to 2 pages 
of references).

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=recsys2024workshops 
<https://easychair.org/conferences/?conf=recsys2024workshops>

*Submission**Track:*
IntRS: 11th Joint Workshop on Interfaces and Human Decision Making for 
Recommender Systems 
<https://easychair.org/conferences/?conf=recsys2024workshops>


*Registration *
------------
At least one author of each accepted paper must register and attend the 
workshop.

*Organizers *
----------
Peter Brusilovsky - peterb@pitt.edu <mailto:peterb@pitt.edu>
School of Information Sciences, University of Pittsburgh, USA

Marco de Gemmis - marco.degemmis@uniba.it <mailto:marco.degemmis@uniba.it>
Dept. of Computer Science, University of Bari Aldo Moro, Italy

Alexander Felfernig - alexander.felfernig@ist.tugraz.at 
<mailto:alexander.felfernig@ist.tugraz.at>
Institute for Software Technology, Graz University of Technology, Austria

Marco Polignano - marco.polignano@uniba.it <mailto:marco.polignano@uniba.it>
Dept. of Computer Science, University of Bari Aldo Moro, Italy

Giovanni Semeraro - giovanni.semeraro@uniba.it 
<mailto:giovanni.semeraro@uniba.it>
Dept. of Computer Science, University of Bari Aldo Moro, Italy

Martijn C. Willemsen - M.C.Willemsen@tue.nl <mailto:M.C.Willemsen@tue.nl>
Eindhoven University of Technology, The Netherlands