| Vol-3222 urn:nbn:de:0074-3222-6 Copyright © 2022 for the individual papers by the papers' authors. Copyright © 2022 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# IntRS 2022
Interfaces and Human Decision Making for Recommender Systems 2022

### Proceedings of the 9th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems
co-located with 16th ACM Conference on Recommender Systems (RecSys 2022)

### Hybrid Event, Seattle, US, September 22, 2022.

Edited by

### Peter Brusilovsky *
Marco de Gemmis **
Alexander Felfernig ***
Pasquale Lops **
Marco Polignano **
Giovanni Semeraro **
Martijn C. Willemsen ****

* University of Pittsburgh, School of Information Sciences, Pittsburgh, USA
** University of Bari Aldo Moro, Department of Computer Science, Bari, Italy
*** Graz University of Technology, Institute for Software Technology, Graz, Austria
**** Eindhoven University of Technology, Department of Industrial Engineering and Innovation Sciences, Eindhoven, The Netherlands

## Table of Contents

- Preface
  Summary: There were 12 papers submitted for peer-review to this workshop. Out of these, 10 papers were accepted for this volume, all of them as long papers.

### Invited Talk

- From User Control and Explainability in Recommendation Interfaces to Visual XAI 1-2
  Denis Parra

### Cognitive Factors

- Examining Choice Overload across Single-list and Multi-list User Interfaces 3-17
  Alain Starke, Justyna Sedkowska, Mihir Chouhan, Bruce Ferwerda
- Psychological User Characteristics and Meta-Intents in a Conversational Product Advisor 18-32
  Yuan Ma, Timm Kleemann, Jürgen Ziegler
- The Impacts of Primacy/Recency Effects on Item Review Sentiment Analysis 33-45
  Besnik Gjergjizi, Thi Ngoc Trang Tran, Alexander Felfernig
- Serendipity in Recommender Systems Beyond the Algorithm: a Feature Repository and Experimental Design 46-66
  Annelien Smets, Lien Michiels, Toine Bogers, Lennart Björneborn

### Preference Elicitation and Explanations

- Boosting Health? Examining the Role of Nutrition Labels and Preference Elicitation Methods in Food Recommendation 67-84
  Alain Starke, Ayoub El Majjodi, Christoph Trattner
- Explainable Robo-Advisors: Empirical Investigations to Specify and Evaluate a User-Centric Taxonomy of Explanations in the Financial Domain 85-103
  Sidra Naveed, Gunnar Stevens, Dean-Robin Kern
- What if Interactive Explanation in a Scientific Literature Recommender System 104-121
  Mouadh Guesmi, Mohamed Amine Chatti, Jaleh Ghorbani-Bavani, Shoeb Joarder, Qurat Ul Ain, Rawaa Alatrash

### Interactive Recommendations

- Simulation-Based Evaluation of Interactive Recommender Systems 122-136
  Behnam Rahdari, Peter Brusilovsky
- A Cosmetic Differences Visualization System for Beauty Recommendation using the Scores of Various Evaluation Items 137-150
  Mayumi Ueda, Sayaka Yabe, Da Li, Shinsuke Nakajima
- Decoy Effect of Recommendation Systems on Real E-commerce Websites 151-163
  Fan Mo, Tsuneo Matsumoto, Nao Fukushima, Fuyuko Kido, Hayato Yamana

2022-09-18: submitted by Marco de Gemmis, metadata incl. bibliographic data published under Creative Commons CC0
2022-09-26: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|