IntRS 2021
Interfaces and Human Decision Making for Recommender Systems 2021

Table of Contents

• Preface
  Summary: There were 10 papers submitted for peer-review to this workshop. Out of these, 8 papers were accepted for this volume, 5 as long papers and 3 as short papers.

Invited Talk

• Group Decision Making and Group Recommender Systems 1-2
  Anthony Jameson

Long Papers

• ConvEx-DS: A Dataset for Conversational Explanations in Recommender Systems 3-20
  Diana C. Hernandez-Bocanegra, Jürgen Ziegler
• Mixed-Modality Interaction in Conversational Recommender Systems 21-37
  Yuan Ma, Timm Kleemann, Jürgen Ziegler
• How does the User's Knowledge of the Recommender Influence their Behavior? 38-54
  Muheeb Faizan Ghori, Arman Dehpanah, Jonathan Gemmell, Hamed Qahri-Saremi, Bamshad Mobasher
• Input or Output: Effects of Explanation Focus on the Perception of Explainable Recommendation with Varying Level of Details 55-72
  Mouadh Guesmi, Mohamed Amine Chatti, Laura Vorgerd, Shoeb Joarder, Qurat Ul Ain, Thao Ngo, Shadi Zumor, Yiqi Sun, Fangzheng Ji, Arham Muslim
• Evaluating Explainable Interfaces for a Knowledge Graph-Based Recommender System 73-88
  Erasmo Purificato, Baalakrishnan Aiyer Manikandan, Prasanth Vaidya Karanam, Mahantesh Vishvanath Pattadkal, Ernesto William De Luca

Short Papers

• Your Eyes Explain Everything: Exploring the Use of Eye Tracking to Provide Explanations On-the-fly 89-100
  Martijn Millecamp, Toon Willemot, Katrien Verbert
• The Immunity of Users' Item Selection from Serial Position Effects in Multi-Attribute Item Recommendation Scenarios 101-111
  Thi Ngoc Trang Tran, Carmen Isabella Baumann, Alexander Felfernig, Viet Man Le
• Controlling Personalized Recommendations in Two Dimensions with a Carousel-Based Interface 112-122
  Behnam Rahdari, Peter Brusilovsky, Alireza Javadian Sabet