Visual or Textual: Effects of Explanation Format and Personal Characteristics on the Perception of Explanations in an Educational Recommender System

1. 1Conduct user studies to compare visual and textual explanation formats in recommender systems
2. 2Analyze how personal characteristics influence user perception of explanations
3. 3Develop personalized explanation strategies based on user characteristics and preferences
4. 4Evaluate the impact of explanation formats on user trust, transparency, and satisfaction

Product managers and designers on a team benefit from understanding how different explanation formats affect user trust and satisfaction, while data scientists and AI engineers can apply these findings to improve recommender system transparency

💡 Explanation format and personal characteristics jointly influence perceived control, transparency, and trust in recommender systems

📊 How do visual and textual explanations impact user trust in recommender systems? 🤔