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ORCID24. UMAP 2016: Halifax, NS, Canada - Extended Proceedings
- Federica Cena, Michel C. Desmarais, Darina Dicheva:
Late-breaking Results, Posters, Demos, Doctoral Consortium and Workshops Proceedings of the 24th ACM Conference on User Modeling, Adaptation and Personalisation (UMAP 2016), Halifax, Canada, July 13-16, 2016. CEUR Workshop Proceedings 1618, CEUR-WS.org 2016
Late-breaking Results
- Diego Zapata-Rivera:
What's Inside the Box? An Open Student Modeling Approach in a Museum Context. - Pamela W. Jordan, Patricia L. Albacete, Sandra Katz:
Exploring Contingent Step Decomposition in a Tutorial Dialogue System. - Wen Wu, Li Chen, Qingchang Yang:
Students' Personality and Chat Room Behavior in Synchronous Online Learning. - Susan Bull, Peter Brusilovsky, Julio Guerra, Rafael Dias Araújo:
Individual and Peer Comparison Open Learner Model Visualisations to Identify What to Work On Next. - Roya Hosseini, Peter Brusilovsky:
A Comparative Study of Visual Cues for Annotation-Based Navigation Support in Adaptive Educational Hypermedia.
Posters and Demos
- Tomas Juhaniak, Patrik Hlavac, Róbert Móro, Jakub Simko, Mária Bieliková:
Pupillary Response: Removing Screen Luminosity Effects for Clearer Implicit Feedback. - Thuy Ngoc Nguyen, Francesco Ricci:
Supporting Group Decision Making with Recommendations and Explanations. - Oluwabukola Mayowa Ishola, Gord McCalla:
Diagnosis at Scale: Detecting the Expertise Level and Knowledge States of Lifelong Professional Learners. - Angelina de C. A. Ziesemer, James Blustein, Milene Selbach Silveira:
Multilingual Tagging Behaviour: The Role of Recommender Systems. - William R. Wright, David N. Chin:
Personality Profiling from Text: Language Features Tied to Personality across Corpora. - David Portugal, Miguel Sales Dias, Eleni Christodoulou, Marios Belk, João Quintas, Pedro Nunes, George Samaras, Sten Hanke, Markus Müllner-Rieder, Christoph Glauser, Mehdi Snene, Dimitri Konstantas:
CogniWin: An Integrated Framework to Support Older Adults at Work.
UMAP 2016 Doctoral Consortium Posters <br>
- Ifeoma Adaji:
Improving E-Commerce User Experience with Data-Driven Personalized Persuasion & Social Network Analysis. - David Alfter:
Learning the Learner: User Modeling in Intelligent Computer Assisted Language Learning Systems. - Diego Dermeval:
Intelligent Authoring of Gamified Intelligent Tutoring System. - Christian Grévisse:
Adaptive Literacy-Aware Integration of Learning Material. - Patrik Hlavac:
Impact of characteristics of individuals on evaluating the quantitative studies. - Kwan Hui Lim:
Personalized Recommendation of Travel Itineraries based on Tourist Interests and Preferences. - Jonathas Magalhães:
A Bayesian User-Controllable Recommender System. - Somayeh Fatahi:
A computational model of emotion and personality in e-learning environments.
EvalUMAP2016: Towards Comparative Evaluation in the User Modelling, Adaptation and Personalization Space<br>
- Kevin Koidl, Killian Levacher, Owen Conlan, Ben Steichen:
ECP: Evaluation Community Portal A Portal for Evaluation And Collaboration in User Modelling and Personalisation Research. - Bilal Yousuf, Owen Conlan:
Motivating Behavioral Change through Personalized Visual Narratives. - Ifeoma Adaji, Julita Vassileva:
Evaluating Persuasive Systems Using the PSD Framework. - Ali Hosseinzadeh Vahid, Roghaiyeh Gachpaz Hamed, Kevin Koidl:
A Review of User-centred Information Retrieval Tasks. - Harshvardhan J. Pandit
, Roghaiyeh Gachpaz Hamed, Shay Lawless, David Lewis:
The Use of Open Data to Improve the Repeatability of Adaptivity and Personalisation Experiment. - Paul De Bra:
Evaluating Adaptive Systems and Applications is often Nonsense. - Liadh Kelly:
Living Labs for UMAP Evaluation. - David N. Chin, William R. Wright:
Evaluation Metrics for Inferring Personality from Text. - Athanasios Staikopoulos, Owen Conlan:
Towards comparative evaluations of user-adaptive software systems. - Veronika Bogina, Tsvi Kuflik:
Building a Bridge between User-Adaptive Systems Evaluation and Software Testing.
FuturePD 2016: The Future of Personal Data<br>
- Marieke M. M. Peeters, Mark A. Neerincx:
Human-Agents Experience Sharing: Creating Social Agents for Elderly People with Dementia. - Nabil Bin Hannan, Felwah Alqahtani, Derek Reilly:
JogChalking: Capturing and Visualizing Affective Experience for Recreational Runners. - Amon Rapp, Alessandro Marcengo, Federica Cena:
Accuracy and Reliability of Personal Data Collection: An Autoethnographic Study.
HAAPIE 2016: Human Aspects in Adaptive and Personalised Interactive Environments Workshop <br>
- Angeliki Antoniou, Akrivi Katifori, Maria Roussou, Maria Vayanou, Manolis Karvounis, Marialena Kyriakidi, Laia Pujol-Tost:
Capturing the Visitor Profile for a Personalized Mobile Museum Experience: an Indirect Approach. - Shabnam Najafian, Wolfgang Wörndl, Matthias Braunhofer:
Context-aware User Interaction for Mobile Recommender Systems. - Asad Ullah, Haiming Liu:
Theory-Based User Modeling for Personalized interactive Information Retrieval. - Marios Belk, David Portugal, Panagiotis Germanakos, João Quintas, Eleni Christodoulou, George Samaras:
A Computer Mouse for Stress Identification of Older Adults at Work. - David N. Chin:
Personality Modeling: Potential and Pitfalls.
IFUP 2016: Workshop on Multi-dimension Information Fusion for Modeling and Personalisation <br>
- Federica Cena, Cristina Gena, Claudia Picardi:
An Experiment in Cross-Representation Mediation of User Models. - Shaikhah Alotaibi, Julita Vassileva:
Personalized Recommendation of Research Papers by Fusing Recommendations from Explicit and Implicit Social Network. - Iman Kamehkhosh, Dietmar Jannach, Lukas Lerche:
Personalized Next-Track Music Recommendation with Multi-dimensional Long-Term Preference Signals. - Xinchao Chen, Weike Pan, Zhong Ming:
TOCCF: Time-Aware One-Class Collaborative Filtering. - Xiaogang Peng, Yaofeng Chen, Yuchao Duan, Weike Pan, Zhong Ming:
RBPR: Role-based Bayesian Personalized Ranking for Heterogeneous One-Class Collaborative Filtering. - Shunpan Liang, Lin Ma, Fuyong Yuan:
Reconstructing Trust Matrix to Improve Prediction Accuracy and Solve Cold User Problem in Recommender Systems.
INRA 2016: News Recommendation and Analytics workshop <br>
- Razib Iqbal, Matthew Scott, Tarah Cleveland:
Measuring Actual Visitor Engagement in News Websites. - Marios Constantinides, John Dowell:
User Interface Personalization in News Apps. - Sirian Caldarelli, Davide Feltoni Gurini, Alessandro Micarelli, Giuseppe Sansonetti:
A Signal-Based Approach to News Recommendation. - Jon Atle Gulla, Cristina Marco, Arne Dag Fidjestøl, Jon Espen Ingvaldsen, Özlem Özgöbek:
The Intricacies of Time in News Recommendation.
PALE 2016: Workshop on Personalization Approaches in Learning Environments <br>
- Ivon Arroyo, Kasia Muldner, Sarah E. Schultz, Winslow Burleson, Naomi Wixon, Beverly P. Woolf:
Addressing Affective States with Empathy and Growth Mindset. - Nese Alyüz, Eda Okur, Ece Oktay, Utku Genc, Sinem Aslan, Sinem Emine Mete, David Stanhill, Bert Arnrich, Asli Arslan Esme:
Towards an Emotional Engagement Model: Can Affective States of a Learner be Automatically Detected in a 1: 1 Learning Scenario? - Luis Marco-Giménez, Miguel Arevalillo-Herráez, Francesc J. Ferri, Salvador Moreno-Picot, Jesus Boticario, Olga C. Santos, Sergio Salmeron-Majadas, Mar Saneiro, Raul Uria-Rivas, David Arnau, José Antonio González-Calero, Aladdin Ayesh, Raúl Cabestrero, Pilar Quirós, Pablo Arnau-González, Naeem Ramzan:
Affective and Behavioral Assessment for Adaptive Intelligent Tutoring Systems. - Yun Huang, Julio Daniel Guerra Hollstein, Peter Brusilovsky:
Modeling Skill Combination Patterns for Deeper Knowledge Tracing. - Juliet Okpo, Matt Dennis, Judith Masthoff, Kirsten A. Smith, Nigel A. Beacham:
Exploring Requirements for an Adaptive Exercise Selection System. - Manal Alhathli, Judith Masthoff, Advaith Siddharthan:
Exploring the Impact of Extroversion on the Selection of Learning Materials. - Andrii Vozniuk, María Jesús Rodríguez-Triana, Adrian Holzer, Denis Gillet:
Combining Content Analytics and Activity Tracking to Identify User Interests and Enable Knowledge Discovery. - Michael D. Kickmeier-Rust, Dietrich Albert:
Theory-driven Learning Analytics and Open Learner Modelling: The Teacher's Toolbox of Tomorrow? - Giora Alexandron, Sunbok Lee, Zhongzhou Chen, David E. Pritchard:
Detecting Cheaters in MOOCs Using Item Response Theory and Learning Analytics. - Alejandro Montes García, Natalia Stash, Marc Fabri, Paul De Bra, George H. L. Fletcher, Mykola Pechenizkiy:
WiBAF into a CMS: Personalization in Learning Environments Made Easy. - Jean-Marie Gilliot, Nour El Mawas, Serge Garlatti:
Towards Personal infrastructure to manage long term open learner models. - Oluwabukola Mayowa Ishola, Gord McCalla:
Tracking and Reacting to the Evolving Knowledge Needs of Lifelong Professional Learners.
SOAP 2016: Workshop on Surprise, Opposition, and Obstruction in Adaptive and Personalized Systems <br>
- Bruce Ferwerda, Markus Schedl:
Investigating the Relationship Between Diversity in Music Consumption Behavior and Cultural Dimensions: A Cross-Country Analysis. - Robin D. Burke, Himan Abdollahpouri, Bamshad Mobasher, Trinadh Gupta:
Towards Multi-Stakeholder Utility Evaluation of Recommender Systems. - Peter Knees, Kristina Andersen:
A Prototype for Exploration of Computational Strangeness in the Context of Rhythm Variation. - Keunwoo Choi, György Fazekas, Mark B. Sandler:
Towards Playlist Generation Algorithms Using RNNs Trained on Within-Track Transitions.
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