-------- Forwarded Message -------- Subject: [AISWorld] First CFP for IntRS Workshop@RecSys 2022, 18th-23rd September 2022, Seattle, WA, USA Date: Fri, 3 Jun 2022 16:06:23 +0200 From: Marco Polignano marco.polignano@uniba.it To: aisworld@lists.aisnet.org
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
_______________________________________________ AISWorld mailing list AISWorld@lists.aisnet.org