Table of Contents

• UMAP 2020 Demo and Late-Breaking Results Chairs' PrefaceLi Chen, Bart P. Knijnenburg, Frosina Koceva. 1 [doi]
• Exploring the Prediction of Personality Traits from Drug Consumption ProfilesBruce Ferwerda, Marko Tkalcic. 2-5 [doi]
• Exploring Personalized University Ranking and RecommendationMehdi Elahi, Nabil El Ioini, Anna Alexander Lambrix, Mouzhi Ge. 6-10 [doi]
• A User Training Error based Correction Approach combined with the Synthetic Coordinate Recommender SystemCostas Panagiotakis, Harris Papadakis, Paraskevi Fragopoulou. 11-16 [doi]
• Personality Traits, Speech and Adaptive In-Vehicle Voice OutputDaniela Stier, Katherine Munro, Ulrich Heid, Wolfgang Minker. 17-22 [doi]
• Best Practices for Transparency in Machine Generated PersonalizationLaura Schelenz, Avi Segal, Kobi Gal. 23-28 [doi]
• Keeping up with the Influencers: Improving User Recommendation in Instagram using Visual ContentMarco Bertini, Andrea Ferracani, Riccardo Papucci, Alberto Del Bimbo. 29-34 [doi]
• Interactions between Inter- and Intra-Individual Effects on Gaze BehaviorChristiane B. Wiebel-Herboth, Matti Krüger, Martina Hasenjäger. 35-40 [doi]
• The Impact of Adaptation Based on Students' Dyslexia Type: An Empirical Evaluation of Students' SatisfactionWeam Gaoud Alghabban, Robert J. Hendley. 41-46 [doi]
• A Stable Personalised Partner Selection for Collaborative Privacy EducationRita Yusri, Adel Abusitta 0001, Esma Aïmeur. 47-52 [doi]
• Do the Urgent Things first! - Detecting Urgency in Spoken Utterances based on Acoustic FeaturesJakob Landesberger, Ute Ehrlich, Wolfgang Minker. 53-58 [doi]
• Getting to Know Your Neighbors (KYN). Explaining Item Similarity in Nearest Neighbors Collaborative Filtering RecommendationsJoanna Misztal-Radecka, Bipin Indurkhya. 59-64 [doi]
• Designing with AI for Digital MarketingMoumita Sinha, Jennifer Healey, Tathagata Sengupta. 65-70 [doi]
• Towards Generating Personalized Country RecommendationAyoub El Majjodi, Mehdi Elahi, Nabil El Ioini, Christoph Trattner. 71-76 [doi]
• A Decentralized Recommendation Engine in the Social Internet of ThingsDaniel Defiebre, Dimitris Sacharidis, Panagiotis Germanakos. 77-82 [doi]
• Fairness and Diversity in Social-Based Recommender SystemsDimitris Sacharidis, Carine Pierrette Mukamakuza, Hannes Werthner. 83-88 [doi]
• You've Got a Friend in Me: Children and Search AgentsMonica Landoni, Emiliana Murgia, Theo Huibers, Maria Soledad Pera. 89-94 [doi]
• An Analysis of Transfer Learning Methods for Multilingual Readability AssessmentIon Madrazo Azpiazu, Maria Soledad Pera. 95-100 [doi]
• Visualizing Personalized Multifaceted ad-hoc Social NetworkSaeed Amal, Mustafa Adam, Peter Brusilovsky, Einat Minkov, Zef Segal, Tsvi Kuflik. 101-102 [doi]
• OPIAS: Over-Personalization in Information Access SystemsPinar Barlas, Kyriakos Kyriakou, Antrea Chrysanthou, Styliani Kleanthous, Jahna Otterbacher. 103-104 [doi]
• APCSE'20 Workshop Chairs' WelcomeGiorgio Delzanno, Giovanna Guerrini, Daniele Traversaro. 105-106 [doi]
• PyWeCode: Towards a Collaborative Coding Framework based on the arcade Python LibraryGiorgio Delzanno, Giovanna Guerrini, Viviana Mascardi, Daniele Traversaro. 107-113 [doi]
• Prediction of Student Performance in Abacus-Based Calculation Using Matrix FactorizationKeita Tokuda, David Kaschub, Takuma Ota, Yasunobu Hashimoto, Naoya Fujiwara, Akihito Sudo. 114-118 [doi]
• Slow Rogaining: An Innovative Teamwork Model for Computer Science EducationGiorgio Delzanno, Giovanna Guerrini, Viviana Mascardi, Luca Gelati, Vincenzo Petito, Francesca Vitali, Angelo Ferrando, Davide Ancona, Manuela Chessa, Nicoletta Noceti, Francesca Odone. 119-126 [doi]
• [email protected]: Ethical Hacking for Young TalentsGaspare Ferraro, Giovanni Lagorio, Marina Ribaudo. 127-134 [doi]
• Personalized Remedial Recommendations for SQL Programming Practice SystemJordan Barria-Pineda, Kamil Akhuseyinoglu, Peter Brusilovsky, Kerttu Pollari-Malmi, Teemu Sirkiä, Lauri Malmi. 135-142 [doi]
• Sonic Pi for TBL Teaching Units in an Introductory Programming CourseDaniele Traversaro, Giovanna Guerrini, Giorgio Delzanno. 143-150 [doi]
• Codinji: Welcome to the Coding Jungle!Giorgio Delzanno, Giovanna Guerrini, Simone Perotto, Flavio Traverso, Sofia Mammoliti, Susanna Staglianò. 151-154 [doi]
• Flow Programming: A Flexible way to bring the Internet of Things into the LabDavide Ancona, Lorenzo Benvenuto, Giorgio Delzanno, Gianluca Gambari. 155-158 [doi]
• A Virtual Reality Game Design for Collaborative Team-Building: A Proof of ConceptGiorgio Ballestin, Chiara Bassano, Fabio Solari, Manuela Chessa. 159-162 [doi]
• Tangible Coding for kids with AI insideNicoletta Noceti, Francesca Odone, Antonio Marsella, Matteo Moro, Elena Nicora. 163-166 [doi]
• Adaptive and Personalized Privacy and Security (APPS 2020): Workshop Chairs' WelcomeMarios Belk, Christos Fidas, Juliana Bowles, Elias Athanasopoulos, Andreas Pitsillides. 167-168 [doi]
• Privacy Dashboards: The Impact of the Type of Personal Data and User Control on Trust and Perceived RiskEelco Herder, Olaf van Maaren. 169-174 [doi]
• A Case Study of Graphical Passwords in a Chinese UniversityAnna Maria Pietron, Ting Han. 175-180 [doi]
• Group-based Personalization Using Topical User ProfileSara Abri, Rayan Abri, Salih Çetin. 181-186 [doi]
• Modelling Audiological Preferences using Federated LearningTiberiu-Ioan Szatmari, Michael Kai Petersen, Maciej Jan Korzepa, Thanassis Giannetsos. 187-190 [doi]
• Interacting with Next-Generation Smart Patient-Centric Healthcare SystemsJuliana Bowles, Juan Jose Mendoza Santana, Thais Webber. 191-192 [doi]
• Differentially Private Learning of Distributed Deep ModelsMohit Kumar, Michael Rossbory, Bernhard Alois Moser, Bernhard Freudenthaler. 193-200 [doi]
• Design and Development of a Patient-centric User Authentication SystemArgyris Constantinides, Marios Belk, Christos Fidas, Andreas Pitsillides. 201-203 [doi]
• UMAP 2020 Workshop on Explainable User Models and Personalised Systems (ExUM) Chairs' Welcome & OrganizationCataldo Musto, Nava Tintarev, Oana Inel, Marco Polignano, Giovanni Semeraro, Jürgen Ziegler 0001. 204-205 [doi]
• Persona Prototypes for Improving the Qualitative Evaluation of Recommendation SystemsJoanna Misztal-Radecka, Bipin Indurkhya. 206-212 [doi]
• Towards Queryable User Profiles: Introducing Conversational Agents in a Platform for Holistic User ModelingCataldo Musto, Fedelucio Narducci, Marco Polignano, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro. 213-218 [doi]
• Effects of Argumentative Explanation Types on the Perception of Review-Based RecommendationsDiana C. Hernandez-Bocanegra, Tim Donkers, Jürgen Ziegler 0001. 219-225 [doi]
• On the Use of Feature-based Collaborative Explanations: An Empirical Comparison of Explanation StylesSidra Naveed, Benedikt Loepp, Jürgen Ziegler 0001. 226-232 [doi]
• A Look Inside the Black-Box: Towards the Interpretability of Conditioned Variational Autoencoder for Collaborative FilteringTommaso Carraro, Mirko Polato, Fabio Aiolli. 233-236 [doi]
• An Approach to Explanations for Public Radio RecommendationsStefan Hirschmeier, Detlef Schoder. 237-240 [doi]
• UMAP 2020 Fairness in User Modeling, Adaptation and Personalization (FairUMAP 2020) Chairs' WelcomeBamshad Mobasher, Styliani Kleanthous, Bettina Berendt, Michael D. Ekstrand, Jahna Otterbacher, Avital Shulner Tal. 241-243 [doi]
• How YouTube Leads Privacy-Seeking Users Away from Reliable InformationLarissa Spinelli, Mark Crovella. 244-251 [doi]
• Emotion-based Stereotypes in Image Analysis ServicesKyriakos Kyriakou, Styliani Kleanthous, Jahna Otterbacher, George A. Papadopoulos. 252-259 [doi]
• Fair Inputs and Fair Outputs: The Incompatibility of Fairness in Privacy and AccuracyBashir Rastegarpanah, Mark Crovella, Krishna P. Gummadi. 260-267 [doi]
• Mitigating Demographic Bias in AI-based Resume FilteringKetki V. Deshpande, Shimei Pan, James R. Foulds. 268-275 [doi]
• Designing Recommender Systems for the Common GoodAnnelien Smets, Nils Walravens, Pieter Ballon. 276-278 [doi]
• HAAPIE 2020: 5th International Workshop on Human Aspects in Adaptive and Personalized Interactive Environments Chairs' WelcomePanagiotis Germanakos, Vania Dimitrova, Ben Steichen, Alicja Piotrkowicz. 279-280 [doi]
• Confusion Detection Dataset of Mouse and Eye MovementsMichal Hucko, Róbert Móro, Mária Bieliková. 281-286 [doi]
• Towards Personalisation for Learner Motivation in Healthcare: A Study on Using Learner Characteristics to Personalise Nudges in an e-Learning ContextAlicja Piotrkowicz, Vania Dimitrova, Jennifer Hallam, Richard Price. 287-292 [doi]
• Simulation Environment for Guiding the Design of Contextual Personalization Systems in the Context of Hearing AidsMaciej Korzepa, Michael Kai Petersen, Jakob Eg Larsen, Morten Mørup. 293-298 [doi]
• DANOS: A Human-Centered Decentralized Simulator in SIOTDaniel Defiebre, Panagiotis Germanakos, Dimitris Sacharidis. 299-304 [doi]
• Towards Open Learner Models Including the Flow StateSergio Iván Ramírez Luelmo, Nour El Mawas, Jean Heutte. 305-310 [doi]
• Personalization, Bias and PrivacyRicardo Baeza-Yates. 311-312 [doi]
• Building User Trust in Recommendations via Fairness and ExplanationsDimitris Sacharidis. 313-314 [doi]
• Workshop on Personalized Access to Cultural Heritage: PATCH'20 Chairs' WelcomeLiliana Ardissono, Noemi Mauro, George E. Raptis, Alan A. Wecker. 315-316 [doi]
• Accessible Cultural Heritage through Explainable Artificial IntelligenceNatalia Díaz Rodríguez, Galena Pisoni. 317-324 [doi]
• A Multiple Perspective Account of Digital Curation for Cultural Heritage: Tasks, Disciplines and InstitutionsTugce Karatas, Vincenzo Lombardo. 325-332 [doi]
• Personalizing Technology-Enhanced Learning for Cultural VisitsAmedeo Cesta, Gabriella Cortellessa, Riccardo De Benedictis, Carlo De Medio, Carla Limongelli, Filippo Sciarrone, Giulia Tassarotti, Augusto Palombini. 333-339 [doi]
• Faceted Exploration of Cultural HeritageNoemi Mauro, Gianmarco Izzi, Marco Pellegrino, Liliana Ardissono, Claudio Grandi, Maurizio Lucenteforte, Marino Segnan. 340-346 [doi]
• Personalized Tourist Guide for People with AutismFederica Cena, Noemi Mauro, Liliana Ardissono, Claudio Mattutino, Amon Rapp, Stefano Cocomazzi, Stefania Brighenti, Roberto Keller. 347-351 [doi]
• Tracking Museum Visitors through Convolutional Object DetectorsMauro Mezzini, Carla Limongelli, Giuseppe Sansonetti, Carlo De Medio. 352-355 [doi]
• Heritage Education Experience: Creating and Sharing Collective MemoriesLuma da Rocha Seixas, Alex Sandro Gomes, Ivanildo José de Melo Filho, Rosane Maria Alencar da Silva. 356-361 [doi]
• Motivational Principles and Personalisation Needs for Geo-Crowdsourced Intangible Cultural Heritage Mobile ApplicationsFederica Lucia Vinella, Ioanna Lykourentzou, Konstantinos Papangelis. 362-369 [doi]
• Reflections on Persuasive and Digital Nudging Methods for Cultural HeritageAlan J. Wecker, Tsvi Kuflik, Oliviero Stock. 370-372 [doi]
• Opportunities for Personalization for Crowdsourcing in Handwritten Text RecognitionAlan J. Wecker, Uri Schor, Vered Raziel-Kretzmer, Dror Elovits, Moshe Lavee, Tsvi Kuflik, Daniel Stoekl Ben Ezra. 373-375 [doi]