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2020 – today
- 2024
[j4]Mona Ghaffari
, Gohar Feroz Khan, Shivendu Pratap Singh, Bruce Ferwerda:
The impact of COVID-19 on online music listening behaviors in light of listeners' social interactions. Multim. Tools Appl. 83(5): 13197-13239 (2024)- [c58]Lotte van Bree, Mark P. Graus, Bruce Ferwerda:
Framing Theory on Music Streaming Platforms: How Vocabulary Influences Music Playlist Decision-Making and Expectations. IUI Workshops 2024 - [c57]Bruce Ferwerda, Panagiotis Germanakos, Marko Tkalcic:
HUMANIZE'24: Seventh Edition. IUI Companion 2024: 113-115 - [c56]Panagiotis Germanakos, Vania Dimitrova, Ben Steichen, Bruce Ferwerda, Marko Tkalcic:
HAAPIE 2024: 9th International Workshop on Human Aspects in Adaptive and Personalized Interactive Environments. UMAP (Adjunct Publication) 2024 - 2023
- [j3]Christine Bauer, Ben Carterette, Nicola Ferro, Norbert Fuhr, Joeran Beel, Timo Breuer, Charles L. A. Clarke, Anita Crescenzi, Gianluca Demartini, Giorgio Maria Di Nunzio, Laura Dietz, Guglielmo Faggioli, Bruce Ferwerda, Maik Fröbe, Matthias Hagen, Allan Hanbury, Claudia Hauff, Dietmar Jannach, Noriko Kando, Evangelos Kanoulas, Bart P. Knijnenburg, Udo Kruschwitz, Meijie Li, Maria Maistro, Lien Michiels, Andrea Papenmeier, Martin Potthast, Paolo Rosso, Alan Said, Philipp Schaer, Christin Seifert, Damiano Spina, Benno Stein, Nava Tintarev, Julián Urbano, Henning Wachsmuth, Martijn C. Willemsen, Justin Zobel:
Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education. SIGIR Forum 57(1): 7:1-7:28 (2023) - [c55]Bruce Ferwerda, Eveline Ingesson, Michaela Berndl, Markus Schedl:
I Don't Care How Popular You Are! Investigating Popularity Bias in Music Recommendations from a User's Perspective. CHIIR 2023: 357-361 - [c54]Riko Horikawa, Tatsuo Nakajima, Bruce Ferwerda:
Investigating the Psychological Impact of Emotion Visualization and Heart Rate Sharing in Online Communication. HCI (26) 2023: 169-184 - [c53]Anna-Sofia Alklind Taylor, Kajsa Nalin, Jesper Holgersson, Andreas Gising, Bruce Ferwerda, Lei Chen:
Guardian Angel - Using Lighting Drones to Improve Traffic Safety, Sense of Security, and Comfort for Cyclists. HCI (51) 2023: 209-223 - [c52]Christine Bauer, Bruce Ferwerda:
The Effect of Ingroup Identification on Conformity Behavior in Group Decision-Making: The Flipping Direction Matters. HICSS 2023: 2242-2251 - [c51]Bruce Ferwerda, Nina Boksjö, Naomi Petricioiu, Carolin Wollny:
What's in a Name? How Perceived Music Playlist Personalization Influences Content Expectations. INTERACT (4) 2023: 585-589 - [c50]Alain D. Starke, Kimia Emami, Andrea Makarová, Bruce Ferwerda:
Using Visual and Linguistic Framing to Support Sustainable Decisions in an Online Store. IntRS@RecSys 2023: 53-62 - [c49]Oleg Lesota, Gustavo Escobedo, Yashar Deldjoo, Bruce Ferwerda, Simone Kopeinik, Elisabeth Lex, Navid Rekabsaz, Markus Schedl:
Computational Versus Perceived Popularity Miscalibration in Recommender Systems. SIGIR 2023: 1889-1893 - [c48]Panagiotis Germanakos, Vania Dimitrova, Ben Steichen, Bruce Ferwerda, Marko Tkalcic:
HAAPIE 2023: 8th International Workshop on Human Aspects in Adaptive and Personalized Interactive Environments. UMAP (Adjunct Publication) 2023: 302-304 - 2022
- [c47]Bruce Ferwerda, Domina Kiunsi, Marko Tkalcic:
Too Much of a Good Thing: When In-Car Driver Assistance Notifications Become Too Much. AutomotiveUI (Adjunct Proceedings) 2022: 79-82 - [c46]Bruce Ferwerda, Christine Bauer:
To Flip or Not to Flip: Conformity Effect Across Cultures. CHI Extended Abstracts 2022: 370:1-370:7 - [c45]Peter Knees, Bruce Ferwerda, Andreas Rauber, Sebastian Strumbelj, Annabel Resch, Laurenz Tomandl, Valentin Bauer, Fung Yee Tang, Josip Bobinac, Amila Ceranic, Riad Dizdar:
A Reproducibility Study on User-centric MIR Research and Why it is Important. ISMIR 2022: 764-771 - [c44]Bruce Ferwerda, Marko Tkalcic, Panagiotis Germanakos:
Sixth HUMANIZE Workshop on Transparency and Explainability in Adaptive Systems Through User Modeling Grounded in Psychological Theory: Summary. IUI Companion 2022: 10-12 - [c43]Alain Starke, Justyna Sedkowska, Mihir Chouhan, Bruce Ferwerda:
Examining Choice Overload across Single-list and Multi-list User Interfaces. IntRS@RecSys 2022: 3-17 - [c42]Nick Landia, Frederick Cheung, Donna North, Saikishore Kalloori, Abhishek Srivastava, Bruce Ferwerda:
RecSys Challenge 2022: Fashion Purchase Prediction. RecSys 2022: 694-697 - [c41]Panagiotis Germanakos, Vania Dimitrova, Ben Steichen, Bruce Ferwerda, Marko Tkalcic:
HAAPIE 2022: 7th International Workshop on Human Aspects in Adaptive and Personalized Interactive Environments. UMAP (Adjunct Publication) 2022: 314-316 - 2021
- [j2]Marcus Eriksson, Bruce Ferwerda:
Towards a User Experience Framework for Business Intelligence. J. Comput. Inf. Syst. 61(5): 428-437 (2021) - [c40]Mark P. Graus, Bruce Ferwerda:
The Moderating Effect of Active Engagement on Appreciation of Popularity in Song Recommendations. iConference (1) 2021: 364-374 - [c39]Mark P. Graus, Bruce Ferwerda, Marko Tkalcic, Panagiotis Germanakos:
Fifth HUMANIZE workshop on Transparency and Explainability in Adaptive Systems through User Modeling Grounded in Psychological Theory: Summary. IUI Companion 2021: 21-23 - [c38]Luca Belli, Alykhan Tejani, Frank Portman, Alexandre Lung-Yut-Fong, Ben Chamberlain, Yuanpu Xie, Kristian Lum, Jonathan Hunt, Michael M. Bronstein, Vito Walter Anelli, Saikishore Kalloori, Bruce Ferwerda, Wenzhe Shi:
The 2021 RecSys Challenge Dataset: Fairness is not optional. RecSys Challenge 2021: 1-6 - [c37]Vito Walter Anelli, Saikishore Kalloori, Bruce Ferwerda, Luca Belli, Alykhan Tejani, Frank Portman, Alexandre Lung-Yut-Fong, Ben Chamberlain, Yuanpu Xie, Jonathan Hunt, Michael M. Bronstein, Wenzhe Shi:
RecSys 2021 Challenge Workshop: Fairness-aware engagement prediction at scale on Twitter's Home Timeline. RecSys 2021: 819-824 - [i2]Luca Belli, Alykhan Tejani, Frank Portman, Alexandre Lung-Yut-Fong, Ben Chamberlain, Yuanpu Xie, Kristian Lum, Jonathan Hunt, Michael M. Bronstein, Vito Walter Anelli, Saikishore Kalloori, Bruce Ferwerda, Wenzhe Shi:
The 2021 RecSys Challenge Dataset: Fairness is not optional. CoRR abs/2109.08245 (2021) - 2020
- [c36]Mona Ghaffari, Gohar Feroz Khan, Bruce Ferwerda, Shivendu Pratap Singh:
Music Oh my Music: A Network Perspective on Online Music Listening Behaviour. ACIS 2020: 98 - [c35]Christine Bauer, Bruce Ferwerda:
Conformity Behavior in Group Playlist Creation. CHI Extended Abstracts 2020: 1-10 - [c34]Mark P. Graus, Bruce Ferwerda, Marko Tkalcic, Panagiotis Germanakos:
Fourth HUMANIZE workshop on Transparency and Explainability in Adaptive Systems through User Modeling Grounded in Psychological Theory: Summary. IUI Companion 2020: 19-20 - [c33]Bruce Ferwerda, Marko Tkalcic:
Exploring the Prediction of Personality Traits from Drug Consumption Profiles. UMAP (Adjunct Publication) 2020: 2-5
2010 – 2019
- 2019
- [j1]Bruce Ferwerda, Emily Yang, Markus Schedl, Marko Tkalcic:
Personality and taxonomy preferences, and the influence of category choice on the user experience for music streaming services. Multim. Tools Appl. 78(14): 20157-20190 (2019) - [c32]Bruce Ferwerda, Michael Jongseon Lee:
Tamagotchi++: A Serious, Personalized Game to Encourage Healthy Behavior. IUI Workshops 2019 - [c31]Mark P. Graus, Bruce Ferwerda, Marko Tkalcic, Panagiotis Germanakos:
Third workshop on theory-informed user modeling for tailoring and personalizing interfaces (HUMANIZE): preface. IUI Companion 2019: 127-128 - [c30]Domina Kiunsi, Bruce Ferwerda:
Using a Serious Game to Teach User-Centered Design. IUI Workshops 2019 - [c29]Bruce Ferwerda, Marko Tkalcic:
Exploring Online Music Listening Behaviors of Musically Sophisticated Users. UMAP (Adjunct Publication) 2019: 33-37 - 2018
- [c28]Marko Tkalcic, Bruce Ferwerda:
Theory-driven Recommendations: Modeling Hedonic and Eudaimonic Movie Preferences. IIR 2018 - [c27]Bruce Ferwerda, Marko Tkalcic:
You Are What You Post: What the Content of Instagram Pictures Tells About Users' Personality. IUI Workshops 2018 - [c26]Alixe Lay, Bruce Ferwerda:
Predicting Users' Personality based on Their 'liked' Images on Instagram. IUI Workshops 2018 - [c25]Bruce Ferwerda, Marko Tkalcic:
Predicting Users' Personality from Instagram Pictures: Using Visual and/or Content Features? UMAP 2018: 157-161 - [c24]Marko Tkalcic, Bruce Ferwerda:
Eudaimonic Modeling of Moviegoers. UMAP 2018: 163-167 - [i1]Bruce Ferwerda, Mark P. Graus:
Predicting Musical Sophistication from Music Listening Behaviors: A Preliminary Study. CoRR abs/1808.07314 (2018) - 2017
- [c23]Marcin Skowron, Florian Lemmerich, Bruce Ferwerda, Markus Schedl:
Predicting Genre Preferences from Cultural and Socio-Economic Factors for Music Retrieval. ECIR 2017: 561-567 - [c22]Markus Schedl, Florian Lemmerich, Bruce Ferwerda, Marcin Skowron, Peter Knees:
Indicators of Country Similarity in Terms of Music Taste, Cultural, and Socio-economic Factors. ISM 2017: 308-311 - [c21]Markus Schedl, Bruce Ferwerda:
Large-Scale Analysis of Group-Specific Music Genre Taste from Collaborative Tags. ISM 2017: 479-482 - [c20]Mark P. Graus, Bruce Ferwerda, Markus Schedl, Marko Tkalcic, Martijn C. Willemsen, Panagiotis Germanakos:
IUI'17 Companion-Workshop Summary for HUMANIZE'17. IUI Companion 2017: 13-15 - [c19]Michael Jongseon Lee, Bruce Ferwerda:
Personalizing Online Educational Tools. HUMANIZE@IUI 2017: 27-30 - [c18]Bruce Ferwerda, Marko Tkalcic, Markus Schedl:
Personality Traits and Music Genre Preferences: How Music Taste Varies Over Age Groups. RecTemp@RecSys 2017: 16-20 - [c17]Bruce Ferwerda, Mark P. Graus, Andreu Vall, Marko Tkalcic, Markus Schedl:
How item discovery enabled by diversity leads to increased recommendation list attractiveness. SAC 2017: 1693-1696 - [c16]Bruce Ferwerda, Marko Tkalcic, Markus Schedl:
Personality Traits and Music Genres: What Do People Prefer to Listen To? UMAP 2017: 285-288 - [e1]Mark P. Graus, Bruce Ferwerda, Markus Schedl, Marko Tkalcic, Martijn C. Willemsen, Panagiotis Germanakos:
Proceedings of the 2017 ACM Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces, HUMANIZE@IUI 2017, Limassol, Cyprus, March 13, 2017. ACM 2017, ISBN 978-1-4503-4905-5 [contents] - 2016
- [c15]Bruce Ferwerda, Markus Schedl, Marko Tkalcic:
Using Instagram Picture Features to Predict Users' Personality. MMM (1) 2016: 850-861 - [c14]Bruce Ferwerda, Markus Schedl:
Personality-Based User Modeling for Music Recommender Systems. ECML/PKDD (3) 2016: 254-257 - [c13]Bruce Ferwerda, Mark P. Graus, Andreu Vall, Marko Tkalcic, Markus Schedl:
The Influence of Users' Personality Traits on Satisfaction and Attractiveness of Diversified Recommendation Lists. EMPIRE@RecSys 2016: 43-47 - [c12]Bruce Ferwerda, Markus Schedl:
Investigating the Relationship Between Diversity in Music Consumption Behavior and Cultural Dimensions: A Cross-Country Analysis. UMAP (Extended Proceedings) 2016 - [c11]Bruce Ferwerda, Andreu Vall, Marko Tkalcic, Markus Schedl:
Exploring Music Diversity Needs Across Countries. UMAP 2016: 287-288 - [c10]Marcin Skowron, Marko Tkalcic, Bruce Ferwerda, Markus Schedl:
Fusing Social Media Cues: Personality Prediction from Twitter and Instagram. WWW (Companion Volume) 2016: 107-108 - [c9]Bruce Ferwerda, Markus Schedl, Marko Tkalcic:
Personality Traits and the Relationship with (Non-) Disclosure Behavior on Facebook. WWW (Companion Volume) 2016: 565-568 - 2015
- [c8]Bruce Ferwerda, Emily Yang, Markus Schedl, Marko Tkalcic:
Personality Traits Predict Music Taxonomy Preferences. CHI Extended Abstracts 2015: 2241-2246 - [c7]Bruce Ferwerda, Markus Schedl, Marko Tkalcic:
Predicting Personality Traits with Instagram Pictures. EMPIRE@RecSys 2015: 7-10 - [c6]Bruce Ferwerda, Markus Schedl, Marko Tkalcic:
Personality & Emotional States: Understanding Users' Music Listening Needs. UMAP Workshops 2015 - [c5]Marko Tkalcic, Bruce Ferwerda, David Hauger, Markus Schedl:
Personality Correlates for Digital Concert Program Notes. UMAP 2015: 364-369 - 2014
- [c4]Bruce Ferwerda, Markus Schedl:
Enhancing Music Recommender Systems with Personality Information and Emotional States: A Proposal. UMAP Workshops 2014 - [c3]Marko Tkalcic, Bruce Ferwerda, Markus Schedl, Cynthia C. S. Liem, Mark S. Melenhorst, Ante Odic, Andrej Kosir:
Using Social Media Mining for Estimating Theory of Planned Behaviour Parameters. UMAP Workshops 2014 - 2013
- [c2]Michael Jongseon Lee, Bruce Ferwerda, Junghong Choi, Jungpil Hahn, Jae Yun Moon, Jinwoo Kim:
GitHub developers use rockstars to overcome overflow of news. CHI Extended Abstracts 2013: 133-138 - [c1]Junghong Choi, Bruce Ferwerda, Jungpil Hahn, Jinwoo Kim, Jae Yun Moon:
Impact of social features implemented in open collaboration platforms on volunteer self-organization: case study of open source software development. OpenSym 2013: 25:1-25:2
Coauthor Index
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last updated on 2024-07-05 21:07 CEST by the dblp team
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