Publications related to In-Store Augmented Reality-Enabled Product Comparison and Recommendation

Augmented-Reality-Enhanced Product Comparison in Physical Retailing

Acceptance of an AR-Based In-Store Shopping Advisor: The Impact of Psychological User Characteristics

Augmented Reality Based Recommending in the Physical World

Improving the Shopping Experience with an Augmented Reality-Enhanced Shelf

Negotiation and Reconciliation of Preferences in a Group Recommender System

Hootle+: A Group Recommender System Supporting Preference Negotiation

Preference Elicitation and Negotiation in a Group Recommender System

An Interactive Hybrid Approach to Generate Explainable and Controllable Recommendations

Development of an Instrument for Measuring Users’ Perception of Transparency in Recommender Systems

Mensch-Computer-Interaktion als zentrales Gebiet der Informatik: Bestandsaufnahme, Trends und Herausforderungen


Featuristic: An interactive hybrid system for generating explainable recommendations – Beyond system accuracy

Challenges in User-Centered Engineering of AI-based Interactive Systems

Feature-driven interactive recommendations and explanations with collaborative filtering approach

To explain or not to explain: the effects of personal characteristics when explaining feature-based recommendations in different domains

On User Awareness in Model-Based Collaborative Filtering Systems

Hybreed: a software framework for developing context-aware hybrid recommender systems

Towards Multi-Method Support for Product Search and Recommending

Integrating Behavior Change and Persuasive Design Theories into an Example Mobile Health Recommender System

ConvEx-DS: A Dataset for Conversational Explanations in Recommender Systems

Identifying Group-Specific Mental Models of Recommender Systems: A Novel Quantitative Approach

Effects of Interactivity and Presentation on Review-Based Explanations for Recommendations

Mixed-Modality Interaction in Conversational Recommender Systems

Argumentative explanations for recommendations - Effect of display style and profile transparency

Exploring Mental Models for Transparent and Controllable Recommender Systems: A Qualitative Study

Towards Interactive Recommending in Model-based Collaborative Filtering Systems

Multi-criteria rating-based preference elicitation in health recommender systems

Argumentation-based explanations in recommender systems: Conceptual framework and empirical results

Explaining Recommendations by Means of User Reviews

Towards a Design Space for Personalizing the Presentation of Recommendations

Sequential User-based Recurrent Neural Network Recommendations

User Model Dimensions for Personalizing the Presentation of Recommendations

Interactive Recommending: Framework, State of Research and Future Challenges

Tag-Enhanced Collaborative Filtering for Increasing Transparency and Interactive Control

Choice-based Preference Elicitation for Collaborative Filtering Recommender Systems