Multiperspective and Multidisciplinary Treatment of Fairness in Recommender Systems Research <\/strong>by Markus Schedl, Navid Rekabsaz, Elisabeth Lex, Tessa Grosz and Elisabeth Greif<\/td>\n
How to Ask for Donations? Learning User-Specific Persuasive Dialogue Policies through Online Interactions <\/strong>by Nhat Tran, Malihe Alikhani and Diane Litman<\/td>\n
<\/td>\n<\/tr>\n
\n
15:34 – 15:51<\/td>\n
Multidimensional Analysis of Sense of Agency During Goal Pursuit <\/strong>by Roberto Legaspi, Wenzhen Xu, Tatsuya Konishi, Shinya Wada and Yuichi Ishikawa<\/td>\n
<\/td>\n<\/tr>\n
\n
15:51 – 16:08<\/td>\n
Nudging Towards Health? Examining the Merits of Nutrition Labels and Personalization in a Recipe Recommender System <\/strong>by Ayoub El Majjodi, Alain Starke and Christoph Trattner<\/td>\n
<\/td>\n<\/tr>\n
\n
16:08 – 16:25<\/td>\n
Including Social Expectations for Trustworthy Proactive Human-Robot Dialogue <\/strong>by Matthias Kraus, Nicolas Wagner, Nico Untereiner and Wolfgang Minker<\/td>\n
<\/td>\n<\/tr>\n
\n
16:25 – 16:42<\/td>\n
A Qualitative Analysis of the Persuasive Properties of Argumentation Schemes <\/strong>by Ramon Ruiz Dolz, Joaquin Taverner, Stella Heras, Ana Garcia-Fornes and Vicente Botti<\/td>\n
<\/td>\n<\/tr>\n
\n
16:45 – 17:00<\/td>\n
Break<\/td>\n<\/tr>\n
\n
17:00 – 18:00<\/td>\n
Keynote: Human-Centered AI: Ensuring Human Control While Increasing Automation <\/strong>by Ben Shneiderman<\/a><\/td>\n
Investigating the value of subtitles for improved movie recommendations <\/strong>by Sagi Eden, Amit Livne, Oren Sar Shalom, Bracha Shapira and Dietmar Jannach<\/td>\n
The challenges of providing explanations of AI systems when they do not behave like users expect <\/strong>by Maria Riveiro and Serge Thill<\/td>\n
<\/td>\n<\/tr>\n
\n
16:54 – 17:11<\/td>\n
Entity-Enhanced Graph Convolutional Network for Accurate and Explainable Recommendation <\/strong>by Qinqin Wang, Elias Tragos, Neil Hurley, Barry Smyth, Aonghus Lawlor and Ruihai Dong<\/td>\n
<\/td>\n<\/tr>\n
\n
17:11 – 17:28<\/td>\n
Top-N Recommendation Algorithms: A Quest for the State-of-the-Art <\/strong>by Vito Walter Anelli, Alejandro Bellogin, Tommaso Di Noia, Dietmar Jannach and Claudio Pomo<\/td>\n
<\/td>\n<\/tr>\n
\n
17:28 – 17:45<\/td>\n
AI-Based Explanations for Project Recommendations in Citizen Science<\/strong> by Daniel Ben Zaken, Avi Segal, Darlene Cavalier, Guy Shani and Kobi Gal<\/td>\n
<\/td>\n<\/tr>\n
\n
17:45 – 18:02<\/td>\n
Travelers vs. Locals: The Effect of Cluster Analysis in Point-of-Interest Recommendation <\/strong>by Pablo S\u00e1nchez and Linus W. Dietz<\/td>\n
<\/td>\n<\/tr>\n
\n
18:02 – 18:19<\/td>\n
Evaluation of an Engagement-Aware Recommender System for People with Dementia <\/strong>by Lars Steinert, Fynn Linus K\u00f6lling, Felix Putze, Dennis K\u00fcster and Tanja Schultz<\/td>\n
20:30 – 22:30 – Social event<\/strong>: conference banquet at Chiringuito Las Sardinitas (Avenida del Litoral, 36). Meeting at UPF Lobby at 20:00 to go walking to the restaurant (~25 minutes).<\/p>\n\n<\/div>
\n\n
Wednesday, July 6<\/strong><\/strong><\/h3>\n\n\n\n
Low-Level Activity Patterns as Indicators of User Familiarity with Websites <\/strong>by He Yu, Simon Harper and Markel Vigo<\/td>\n
<\/td>\n<\/tr>\n
\n
15:34 – 15:51<\/td>\n
On the Benefits of Using Hidden Markov Models to Predict Emotions <\/strong>by Yuyan Wu, Miguel Arevalillo Herr\u00e1ez, Stamos Katsigiannis and Naeem Ramzan<\/td>\n
<\/td>\n<\/tr>\n
\n
15:51 – 16:08<\/td>\n
HateVersarial: Adversarial Attack Against Hate Speech Detection Algorithms on Twitter <\/strong>by Edita Grolman, Hodaya Binyamini, Asaf Shabtai, Ikuya Morikawa, Toshiya Shimizu and Yuval Elovici<\/td>\n
Navigational, Informational or Punk-Rock?: An Exploration of Search Intent in the Musical Domain <\/strong>by Bruno Massoni Sguerra, Marion Baranes, Romain Hennequin and Manuel Moussallam<\/td>\n
Understanding the role of explanation modality in AI-assisted decision-making <\/strong>by Vincent Robbemond, Oana Inel and Ujwal Gadiraju<\/td>\n
<\/td>\n<\/tr>\n
\n
17:09 – 17:26<\/td>\n
How Suitable is Your Naturalistic Dataset for Theory-based User Modeling? <\/strong>by Aini Putkonen, Aur\u00e9lien Nioche, Ville Tanskanen, Arto Klami and Antti Oulasvirta<\/td>\n
<\/td>\n<\/tr>\n
\n
17:26 – 17:43<\/td>\n
Taming User-Interface Heterogeneity with Uniform Overlays for Blind Users <\/strong>by Utku Uckun, Rohan Tumkur Suresh, Md Javedul Ferdous, Xiaojun Bi, I.V. Ramakrishnan and Vikas Ashok<\/td>\n
<\/td>\n<\/tr>\n
\n
17:43 – 18:00<\/td>\n
Modeling User Strategies on Interactive Information Dashboards <\/strong>by Mohammed Alhamadi, Sarah Clinch and Markel Vigo<\/td>\n
The Impact of Digital Nudging Techniques on the Formation of Self-Assembled Crowd Project Teams <\/strong>by Federica Vinella, Rosa Mosch, Ioanna Lykourentzou and Judith Masthoff<\/td>\n
I Cannot See Students Focusing on My Presentation; Are They Following Me? Continuous Monitoring of Student Engagement through “Stungage” <\/strong>by Snigdha Das, Sandip Chakraborty and Bivas Mitra<\/td>\n
\n
<\/p>\n<\/td>\n<\/tr>\n
\n
15:44 – 16:01<\/td>\n
Critiquing-based Modeling of Subjective Preferences <\/strong>by Alan Medlar, Jing Li, Yang Liu and Dorota Glowacka<\/td>\n
<\/td>\n<\/tr>\n
\n
16:01 – 16:18<\/td>\n
Is More Always Better? The Effects of Personal Characteristics and Level of Detail on the Perception of Explanations in a Recommender System <\/strong>by Mohamed Amine Chatti, Mouadh Guesmi, Laura Vorgerd, Thao Ngo, Shoeb Joarder, Qurat Ul Ain and Arham Muslim<\/td>\n
Automatic Evaluation of Aspects of Performance and Scheduling in Playing the Piano <\/strong>by Hila Tamir-Ostrover, Gilad Baruch, Or Peleg, Yonatan Yellin, Maor Rosenberg, Alexandra Moringen, Kathrin Krieger, Ritter Helge and Jason Friedman<\/td>\n
Towards Supporting Adaptive Training of Injection Procedures: Detecting Differences in the Visual Attention of Skilled and Novice Nurses <\/strong>by Minghao Cai, Bin Zheng and Carrie Demmans Epp<\/td>\n
<\/td>\n<\/tr>\n
\n
17:10 – 17:27<\/td>\n
What do Students’ Interactions with Online Lecture Videos Reveal about their Learning? <\/strong>by Guojing Zhou, Tetsumichi Umada and Sidney D’Mello<\/td>\n