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ORCID28th UMAP 2020: Genoa, Italy - Adjunct Publication
- Tsvi Kuflik, Ilaria Torre, Robin Burke, Cristina Gena:
Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2020, Genoa, Italy, July 12-18, 2020. ACM 2020, ISBN 978-1-4503-7950-2
Session 1: Late - breaking Results and Demo
- Li Chen, Bart P. Knijnenburg, Frosina Koceva:
UMAP 2020 Demo and Late-Breaking Results Chairs' Preface. 1 - Bruce Ferwerda, Marko Tkalcic:
Exploring the Prediction of Personality Traits from Drug Consumption Profiles. 2-5 - Mehdi Elahi, Nabil El Ioini, Anna Alexander Lambrix, Mouzhi Ge:
Exploring Personalized University Ranking and Recommendation. 6-10 - Costas Panagiotakis, Harris Papadakis, Paraskevi Fragopoulou
:
A User Training Error based Correction Approach combined with the Synthetic Coordinate Recommender System. 11-16 - Daniela Stier, Katherine Munro, Ulrich Heid, Wolfgang Minker:
Personality Traits, Speech and Adaptive In-Vehicle Voice Output. 17-22 - Laura Schelenz, Avi Segal, Kobi Gal:
Best Practices for Transparency in Machine Generated Personalization. 23-28 - Marco Bertini, Andrea Ferracani, Riccardo Papucci, Alberto Del Bimbo:
Keeping up with the Influencers: Improving User Recommendation in Instagram using Visual Content. 29-34 - Christiane B. Wiebel-Herboth, Matti Krüger, Martina Hasenjäger:
Interactions between Inter- and Intra-Individual Effects on Gaze Behavior. 35-40 - Weam Gaoud Alghabban, Robert J. Hendley:
The Impact of Adaptation Based on Students' Dyslexia Type: An Empirical Evaluation of Students' Satisfaction. 41-46 - Rita Yusri, Adel Abusitta, Esma Aïmeur:
A Stable Personalised Partner Selection for Collaborative Privacy Education. 47-52 - Jakob Landesberger, Ute Ehrlich, Wolfgang Minker:
Do the Urgent Things first! - Detecting Urgency in Spoken Utterances based on Acoustic Features. 53-58 - Joanna Misztal-Radecka, Bipin Indurkhya:
Getting to Know Your Neighbors (KYN). Explaining Item Similarity in Nearest Neighbors Collaborative Filtering Recommendations. 59-64 - Moumita Sinha, Jennifer Healey, Tathagata Sengupta:
Designing with AI for Digital Marketing. 65-70 - Ayoub El Majjodi, Mehdi Elahi, Nabil El Ioini, Christoph Trattner:
Towards Generating Personalized Country Recommendation. 71-76 - Daniel Defiebre, Dimitris Sacharidis, Panagiotis Germanakos:
A Decentralized Recommendation Engine in the Social Internet of Things. 77-82 - Dimitris Sacharidis, Carine Pierrette Mukamakuza, Hannes Werthner:
Fairness and Diversity in Social-Based Recommender Systems. 83-88 - Monica Landoni, Emiliana Murgia, Theo Huibers, Maria Soledad Pera:
You've Got a Friend in Me: Children and Search Agents. 89-94 - Ion Madrazo Azpiazu, Maria Soledad Pera:
An Analysis of Transfer Learning Methods for Multilingual Readability Assessment. 95-100 - Saeed Amal, Mustafa Adam, Peter Brusilovsky, Einat Minkov, Zef Segal, Tsvi Kuflik:
Visualizing Personalized Multifaceted ad-hoc Social Network. 101-102 - Pinar Barlas, Kyriakos Kyriakou, Antrea Chrysanthou, Styliani Kleanthous, Jahna Otterbacher:
OPIAS: Over-Personalization in Information Access Systems. 103-104
Session 2: Adaptation and Personalization in Computer Science Education (APCSE 2020)
- Giorgio Delzanno, Giovanna Guerrini, Daniele Traversaro:
APCSE'20 Workshop Chairs' Welcome. 105-106 - Giorgio Delzanno, Giovanna Guerrini, Viviana Mascardi, Daniele Traversaro:
PyWeCode: Towards a Collaborative Coding Framework based on the arcade Python Library. 107-113 - Keita Tokuda, David Kaschub, Takuma Ota, Yasunobu Hashimoto, Naoya Fujiwara, Akihito Sudo:
Prediction of Student Performance in Abacus-Based Calculation Using Matrix Factorization. 114-118 - Giorgio Delzanno, Giovanna Guerrini, Viviana Mascardi, Luca Gelati, Vincenzo Petito, Francesca Vitali, Angelo Ferrando, Davide Ancona, Manuela Chessa, Nicoletta Noceti, Francesca Odone:
Slow Rogaining: An Innovative Teamwork Model for Computer Science Education. 119-126 - Gaspare Ferraro, Giovanni Lagorio, Marina Ribaudo:
CyberChallenge.IT@Unige: Ethical Hacking for Young Talents. 127-134 - Jordan Barria-Pineda, Kamil Akhuseyinoglu, Peter Brusilovsky, Kerttu Pollari-Malmi, Teemu Sirkiä, Lauri Malmi:
Personalized Remedial Recommendations for SQL Programming Practice System. 135-142 - Daniele Traversaro, Giovanna Guerrini, Giorgio Delzanno:
Sonic Pi for TBL Teaching Units in an Introductory Programming Course. 143-150 - Giorgio Delzanno, Giovanna Guerrini, Simone Perotto, Flavio Traverso, Sofia Mammoliti, Susanna Staglianò:
Codinji: Welcome to the Coding Jungle! 151-154 - Davide Ancona, Lorenzo Benvenuto, Giorgio Delzanno, Gianluca Gambari:
Flow Programming: A Flexible way to bring the Internet of Things into the Lab. 155-158 - Giorgio Ballestin, Chiara Bassano, Fabio Solari, Manuela Chessa:
A Virtual Reality Game Design for Collaborative Team-Building: A Proof of Concept. 159-162 - Nicoletta Noceti, Francesca Odone, Antonio Marsella, Matteo Moro, Elena Nicora:
Tangible Coding for kids with AI inside. 163-166
Session 3: Adaptive and Personalized Privacy and Security (APPS 2020)
- Marios Belk, Christos Fidas, Juliana Bowles, Elias Athanasopoulos, Andreas Pitsillides:
Adaptive and Personalized Privacy and Security (APPS 2020): Workshop Chairs' Welcome. 167-168 - Eelco Herder, Olaf van Maaren:
Privacy Dashboards: The Impact of the Type of Personal Data and User Control on Trust and Perceived Risk. 169-174 - Anna Maria Pietron, Ting Han:
A Case Study of Graphical Passwords in a Chinese University. 175-180 - Sara Abri, Rayan Abri, Salih Çetin:
Group-based Personalization Using Topical User Profile. 181-186 - Tiberiu-Ioan Szatmari, Michael Kai Petersen, Maciej Jan Korzepa, Thanassis Giannetsos:
Modelling Audiological Preferences using Federated Learning. 187-190 - Juliana Bowles, Juan Jose Mendoza Santana, Thais Webber:
Interacting with Next-Generation Smart Patient-Centric Healthcare Systems. 191-192 - Mohit Kumar, Michael Rossbory, Bernhard Alois Moser, Bernhard Freudenthaler:
Differentially Private Learning of Distributed Deep Models. 193-200 - Argyris Constantinides, Marios Belk, Christos Fidas, Andreas Pitsillides:
Design and Development of a Patient-centric User Authentication System. 201-203
Session 4: Workshop on Explainable User Models and Personalised Systems (ExUM 2020)
- Cataldo Musto, Nava Tintarev, Oana Inel, Marco Polignano, Giovanni Semeraro, Jürgen Ziegler:
UMAP 2020 Workshop on Explainable User Models and Personalised Systems (ExUM) Chairs' Welcome & Organization. 204-205 - Joanna Misztal-Radecka, Bipin Indurkhya:
Persona Prototypes for Improving the Qualitative Evaluation of Recommendation Systems. 206-212 - Cataldo Musto, Fedelucio Narducci, Marco Polignano, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
Towards Queryable User Profiles: Introducing Conversational Agents in a Platform for Holistic User Modeling. 213-218 - Diana C. Hernandez-Bocanegra, Tim Donkers, Jürgen Ziegler:
Effects of Argumentative Explanation Types on the Perception of Review-Based Recommendations. 219-225 - Sidra Naveed, Benedikt Loepp, Jürgen Ziegler:
On the Use of Feature-based Collaborative Explanations: An Empirical Comparison of Explanation Styles. 226-232 - Tommaso Carraro, Mirko Polato, Fabio Aiolli:
A Look Inside the Black-Box: Towards the Interpretability of Conditioned Variational Autoencoder for Collaborative Filtering. 233-236 - Stefan Hirschmeier, Detlef Schoder:
An Approach to Explanations for Public Radio Recommendations. 237-240
Session 5: Fairness in User Modeling, Adaptation and Personalization (FairUMAP 2020)
- Bamshad Mobasher, Styliani Kleanthous, Bettina Berendt, Michael D. Ekstrand, Jahna Otterbacher, Avital Shulner-Tal:
UMAP 2020 Fairness in User Modeling, Adaptation and Personalization (FairUMAP 2020) Chairs' Welcome. 241-243 - Larissa Spinelli, Mark Crovella:
How YouTube Leads Privacy-Seeking Users Away from Reliable Information. 244-251 - Kyriakos Kyriakou, Styliani Kleanthous, Jahna Otterbacher, George A. Papadopoulos:
Emotion-based Stereotypes in Image Analysis Services. 252-259 - Bashir Rastegarpanah, Mark Crovella, Krishna P. Gummadi:
Fair Inputs and Fair Outputs: The Incompatibility of Fairness in Privacy and Accuracy. 260-267 - Ketki V. Deshpande, Shimei Pan, James R. Foulds:
Mitigating Demographic Bias in AI-based Resume Filtering. 268-275 - Annelien Smets, Nils Walravens, Pieter Ballon:
Designing Recommender Systems for the Common Good. 276-278
Session 6: HAAPIE 2020: 5th International Workshop on Human Aspects in Adaptive and Personalized Interactive Environments
- Panagiotis Germanakos, Vania Dimitrova, Ben Steichen, Alicja Piotrkowicz:
HAAPIE 2020: 5th International Workshop on Human Aspects in Adaptive and Personalized Interactive Environments Chairs' Welcome. 279-280 - Michal Hucko, Róbert Móro, Mária Bieliková:
Confusion Detection Dataset of Mouse and Eye Movements. 281-286 - Alicja Piotrkowicz, Vania Dimitrova, Jennifer Hallam, Richard Price:
Towards Personalisation for Learner Motivation in Healthcare: A Study on Using Learner Characteristics to Personalise Nudges in an e-Learning Context. 287-292 - Maciej Korzepa, Michael Kai Petersen, Jakob Eg Larsen, Morten Mørup:
Simulation Environment for Guiding the Design of Contextual Personalization Systems in the Context of Hearing Aids. 293-298 - Daniel Defiebre, Panagiotis Germanakos, Dimitris Sacharidis:
DANOS: A Human-Centered Decentralized Simulator in SIOT. 299-304 - Sergio Iván Ramírez Luelmo, Nour El Mawas, Jean Heutte:
Towards Open Learner Models Including the Flow State. 305-310 - Ricardo Baeza-Yates:
Personalization, Bias and Privacy. 311-312 - Dimitris Sacharidis:
Building User Trust in Recommendations via Fairness and Explanations. 313-314
Session 7: Workshop on Personalized Access to Cultural Heritage: PATCH'20
- Liliana Ardissono, Noemi Mauro, George E. Raptis, Alan J. Wecker:
Workshop on Personalized Access to Cultural Heritage: PATCH'20 Chairs' Welcome. 315-316 - Natalia Díaz Rodríguez, Galena Pisoni:
Accessible Cultural Heritage through Explainable Artificial Intelligence. 317-324 - Tugce Karatas, Vincenzo Lombardo:
A Multiple Perspective Account of Digital Curation for Cultural Heritage: Tasks, Disciplines and Institutions. 325-332 - Amedeo Cesta, Gabriella Cortellessa, Riccardo De Benedictis, Carlo De Medio, Carla Limongelli, Filippo Sciarrone, Giulia Tassarotti, Augusto Palombini:
Personalizing Technology-Enhanced Learning for Cultural Visits. 333-339 - Noemi Mauro, Gianmarco Izzi, Marco Pellegrino, Liliana Ardissono, Claudio Grandi, Maurizio Lucenteforte, Marino Segnan:
Faceted Exploration of Cultural Heritage. 340-346 - Federica Cena, Noemi Mauro, Liliana Ardissono, Claudio Mattutino, Amon Rapp, Stefano Cocomazzi, Stefania Brighenti, Roberto Keller:
Personalized Tourist Guide for People with Autism. 347-351 - Mauro Mezzini, Carla Limongelli, Giuseppe Sansonetti, Carlo De Medio:
Tracking Museum Visitors through Convolutional Object Detectors. 352-355 - Luma da Rocha Seixas, Alex Sandro Gomes, Ivanildo José de Melo Filho, Rosane Maria Alencar da Silva:
Heritage Education Experience: Creating and Sharing Collective Memories. 356-361 - Federica Lucia Vinella, Ioanna Lykourentzou, Konstantinos Papangelis:
Motivational Principles and Personalisation Needs for Geo-Crowdsourced Intangible Cultural Heritage Mobile Applications. 362-369 - Alan J. Wecker, Tsvi Kuflik, Oliviero Stock:
Reflections on Persuasive and Digital Nudging Methods for Cultural Heritage. 370-372 - Alan J. Wecker, Uri Schor, Vered Raziel-Kretzmer, Dror Elovits, Moshe Lavee, Tsvi Kuflik, Daniel Stoekl Ben Ezra:
Opportunities for Personalization for Crowdsourcing in Handwritten Text Recognition. 373-375
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