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
- Spoken and natural language interfaces
- Trust-aware interfaces
- Social interfaces
- Context-aware interfaces
- Ubiquitous and mobile interfaces
- Interactive recommender interface
- Conversational interfaces
- Example- and demonstration-based interfaces
- New approaches to designing interfaces
- User interfaces for decision-making (e.g., decision strategies and user ratings)
- 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)
- Detection and avoidance of decision biases
- Preference construction mechanisms (e.g., eye tracking)
- The role of emotions in recommender systems
- Trust inspiring UIs (e.g., explanation-aware RSs)
- Argumentation & persuasive recommendation (e.g., aspects of nudging in RSs)
- Cultural differences (e.g., culture-aware RSs)
- 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 in the era of LLMs
- Psychological aspects in user-centric evaluation
- Case studies