Publications related to How Can They Know That? A Study of Factors Affecting the Creepiness of Recommendations

The Influence of Trust Cues on the Trustworthiness of Online Reviews for Recommendations

Co-Staying: a Social Network for Increasing the Trustworthiness of Hotel Recommendations

Users’ Choices About Hotel Booking: Cues for Personalizing the Presentation of Recommendations

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

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

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

Let Me Explain: Impact of Personal and Impersonal Explanations on Trust in Recommender Systems

The impact of emotionality and trust cues on the perceived trustworthiness of online reviews

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

Towards a Design Space for Personalizing the Presentation of Recommendations

User Model Dimensions for Personalizing the Presentation of Recommendations

Interactive Recommending: Framework, State of Research and Future Challenges

On the Use of Feature-based Collaborative Explanations: An Empirical Comparison of Explanation Styles

Effects of Argumentative Explanation Types on the Perception of Review-Based Recommendations

Measuring the Impact of Recommender Systems – A Position Paper on Item Consumption in User Studies

Designing Interactive Visualizations of Personalized Review Data for a Hotel Recommender System

Wahrnehmung und Akzeptanz von systemgenerierten Produktempfehlungen

An Interactive Hybrid Approach to Generate Explainable and Controllable Recommendations

Getting at the Cognitive Complexity of Linguistic Metadata Annotation: A Pilot Study Using Eye-Tracking

A Cognitive Cost Model of Annotations Based on Eye-Tracking Data

E-Quest: Ein Online-Befragungswerkzeug für Web Usability

Usability Engineering für web-basierte Applikationen

Intuitive Human-Computer Interaction - Towards a User-Friendly Information Society

Usability Engineering für Web-basierte Applikationen

Creativity support in system and process design

Can standards and guidelines promote Universal Access?

Standards for multimedia user interfaces - opportunities and issues

Human-Computer Interaction: Ergonomics and User Interfaces

Designing Effective and Usable Multimedia Systems

Interactive Techniques

Prototyping als Vorgehenweise zur GUI-Entwicklung

Objektorientierter Entwurf graphischer Benutzungsschnittstellen

Benutzergerechte Software-Gestaltung

Exploring chatbot user interfaces for mood measurement: A study of validity and user experience

Explaining Recommendations by Means of Aspect-Based Transparent Memories

Enhancing an Interactive Recommendation System with Review-based Information Filtering

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


Mobile mood tracking: An investigation of concise and adaptive measurement instruments

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

Impact of Consuming Suggested Items on the Assessment of Recommendations in User Studies on Recommender Systems

Integration of Dialog-based Product Advisors into Filter 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

Rating-based preference elicitation for recommendation of stress intervention

Impact of Item Consumption on Assessment of Recommendations in User Studies

Trust-Related Effects of Expertise and Similarity Cues in Human-Generated Recommendations

Towards Health (Aware) Recommender Systems

A Taxonomy of Mood Research and Its Applications in Computer Science

On User Awareness in Model-Based Collaborative Filtering Systems

Increasing the Trustworthiness of Recommendations by Exploiting Social Media Sources

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

Ein Blick in die Wolken: Visuelle Exploration von Tag Clouds

Comparison of Tag Cloud Layouts: Task-Related Performance and Visual Exploration

Automatische Generierung graphischer Benutzungsschnittstellen

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

Towards a User Integration Framework for Personal Health Decision Support and Recommender Systems

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

Towards Interactive Recommending in Model-based Collaborative Filtering Systems

Augmented Reality Based Recommending in the Physical World

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

Explaining Recommendations by Means of User Reviews

Negotiation and Reconciliation of Preferences in a Group Recommender System

Improving the Shopping Experience with an Augmented Reality-Enhanced Shelf

Sequential User-based Recurrent Neural Network Recommendations

Hootle+: A Group Recommender System Supporting Preference Negotiation

Tag-Enhanced Collaborative Filtering for Increasing Transparency and Interactive Control

Preference Elicitation and Negotiation in a Group Recommender System

Choice-based Preference Elicitation for Collaborative Filtering Recommender Systems