Rebecca Fiebrink

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 32

Top Topics

Interaction Design

Top Venues

CHI Extended Abstracts

Publications

Joana Chicau, Kristina Popova, Rebecca Fiebrink
From Individual Discomfort to Collective Solidarity: Choreographic Exploration of Extractivist Technology. TEI (2024)
Benedikte Wallace, Clarice Hilton, Kristian Nymoen, Jim Torresen, Charles Patrick Martin, Rebecca Fiebrink
Embodying an Interactive AI for Dance Through Movement Ideation. Creativity & Cognition (2023)
Timea Farkas, Alena Denisova, Sarah Wiseman, Rebecca Fiebrink
The Effects of a Soundtrack on Board Game Player Experience. CHI (2022)
Kiona Hagen Niehaus, Rebecca Fiebrink
Making Up 3D Bodies: Artistic and Serendipitous Modeling of Digital Human Figures. Proc. ACM Comput. Graph. Interact. Tech. 4 (2) (2021)
Vesna G. Djokic, Ekaterina Shutova, Rebecca Fiebrink
MetaVR: Understanding metaphors in the mind and relation to emotion through immersive, spatial interaction. CHI Extended Abstracts (2021)
Nicola Plant, Clarice Hilton, Marco Gillies, Rebecca Fiebrink, Phoenix Perry, Carlos González Díaz, Ruth Gibson, Bruno Martelli, Michael Zbyszynski
Interactive Machine Learning for Embodied Interaction Design: A tool and methodology. TEI (2021)
Clarice Hilton, Nicola Plant, Carlos González Díaz, Phoenix Perry, Ruth Gibson, Bruno Martelli, Michael Zbyszynski, Rebecca Fiebrink, Marco Gillies
InteractML: Making machine learning accessible for creative practitioners working with movement interaction in immersive media. VRST (2021)
Francisco Bernardo, Michael Zbyszynski, Mick Grierson, Rebecca Fiebrink
Designing and Evaluating the Usability of a Machine Learning API for Rapid Prototyping Music Technology. Frontiers Artif. Intell. 3 (2020)
Gabriel Vigliensoni, Louis McCallum, Rebecca Fiebrink
Creating Latent Spaces for Modern Music Genre Rhythms Using Minimal Training Data. ICCC (2020)
Nicola Plant, Ruth Gibson, Carlos González Díaz, Bruno Martelli, Michael Zbyszynski, Rebecca Fiebrink, Marco Gillies, Clarice Hilton, Phoenix Perry
Movement interaction design for immersive media using interactive machine learning. MOCO (2020)
Timea Farkas, Sarah Wiseman, Paul A. Cairns, Rebecca Fiebrink
A Grounded Analysis of Player-Described Board Game Immersion. CHI PLAY (2020)
Memo Akten, Rebecca Fiebrink, Mick Grierson
Learning to See: You Are What You See. CoRR (2020)
Memo Akten, Rebecca Fiebrink, Mick Grierson
Deep Meditations: Controlled navigation of latent space. CoRR (2020)
Rebecca Fiebrink, Laetitia Sonami
Reflections on Eight Years of Instrument Creation with Machine Learning. NIME (2020)
Gonzalo A. Ramos, Jina Suh, Soroush Ghorashi, Christopher Meek, Richard Banks, Saleema Amershi, Rebecca Fiebrink, Alison Smith-Renner, Gagan Bansal
Emerging Perspectives in Human-Centered Machine Learning. CHI Extended Abstracts (2019)
Rebecca Fiebrink
Machine Learning Education for Artists, Musicians, and Other Creative Practitioners. ACM Trans. Comput. Educ. 19 (4) (2019)
R. Benjamin Shapiro, Rebecca Fiebrink
Introduction to the Special Section: Launching an Agenda for Research on Learning Machine Learning. ACM Trans. Comput. Educ. 19 (4) (2019)
KatieAnna E. Wolf, Rebecca Fiebrink
Personalised interactive sonification of musical performance data. J. Multimodal User Interfaces 13 (3) (2019)
Carlos González Díaz, Phoenix Perry, Rebecca Fiebrink
Interactive Machine Learning for More Expressive Game Interactions. CoG (2019)
Samuel Thompson Parke-Wolfe, Hugo Scurto, Rebecca Fiebrink
Sound Control: Supporting Custom Musical Interface Design for Children with Disabilities. NIME (2019)
Peter Knees, Markus Schedl, Rebecca Fiebrink
Intelligent music interfaces for listening and creation. IUI Companion (2019)
Myounghoon Jeon, Rebecca Fiebrink, Ernest A. Edmonds, Damith C. Herath
From rituals to magic: Interactive art and HCI of the past, present, and future. Int. J. Hum. Comput. Stud. 131 (2019)
R. Benjamin Shapiro, Rebecca Fiebrink, Peter Norvig
How machine learning impacts the undergraduate computing curriculum. Commun. ACM 61 (11) (2018)
Rebecca Fiebrink, Marco Gillies
Introduction to the Special Issue on Human-Centered Machine Learning. ACM Trans. Interact. Intell. Syst. 8 (2) (2018)
Sebastian Deterding, Jonathan Hook, Rebecca Fiebrink, Marco Gillies, Jeremy Gow, Memo Akten, Gillian Smith, Antonios Liapis, Kate Compton
Mixed-Initiative Creative Interfaces. CHI Extended Abstracts (2017)
Francisco Bernardo, Michael Zbyszynski, Rebecca Fiebrink, Mick Grierson
Interactive Machine Learning for End-User Innovation. AAAI Spring Symposia (2017)
R. Benjamin Shapiro, Annie Kelly, Matthew P. Ahrens, Ben Johnson, Heather Politi, Rebecca Fiebrink
Tangible Distributed Computer Music for Youth. Comput. Music. J. 41 (2) (2017)
Marco Gillies, Rebecca Fiebrink, Atau Tanaka, Jérémie Garcia, Frédéric Bevilacqua, Alexis Héloir, Fabrizio Nunnari, Wendy E. Mackay, Saleema Amershi, Bongshin Lee, Nicolas D'Alessandro, Joëlle Tilmanne, Todd Kulesza, Baptiste Caramiaux
Human-Centred Machine Learning. CHI Extended Abstracts (2016)
Reid Oda, Rebecca Fiebrink
The Global Metronome: Absolute Tempo Sync For Networked Musical Performance. NIME (2016)
Hugo Scurto, Rebecca Fiebrink
Grab-and-Play Mapping: Creative Machine Learning Approaches for Musical Inclusion and Exploration. ICMC (2016)
Rebecca Fiebrink, Baptiste Caramiaux
The Machine Learning Algorithm as Creative Musical Tool. CoRR (2016)
R. Benjamin Shapiro, Rebecca Fiebrink, Matthew P. Ahrens, Annie Kelly
BlockyTalky: A Physical and Distributed Computer Music Toolkit for Kids. NIME (2016)
Rebecca Fiebrink
Data as design tool. How understanding data as a user interface can make end-user design more accessible, efficient, effective, and embodied, while challenging machine learning conventions. ICAD (2015)
Zeyu Jin, Reid Oda, Adam Finkelstein, Rebecca Fiebrink
Mallo: a distributed synchronized musical instrument designed for internet performance. NIME (2015)
Elise Deitrick, R. Benjamin Shapiro, Matthew P. Ahrens, Rebecca Fiebrink, Paul D. Lehrman, Saad Farooq
Using Distributed Cognition Theory to Analyze Collaborative Computer Science Learning. ICER (2015)
KatieAnna Wolf, Genna Gliner, Rebecca Fiebrink
End-User Development of Sonifications using Soundscapes. ICAD (2015)
Simon Katan, Mick Grierson, Rebecca Fiebrink
Using Interactive Machine Learning to Support Interface Development Through Workshops with Disabled People. CHI (2015)
KatieAnna E. Wolf, Genna Gliner, Rebecca Fiebrink
A Model for Data-Driven Sonification Using Soundscapes. IUI Companion (2015)
Kyle Hipke, Michael Toomim, Rebecca Fiebrink, James Fogarty
BeatBox: end-user interactive definition and training of recognizers for percussive vocalizations. AVI (2014)
Christopher Patrick Laguna, Rebecca Fiebrink
Improving data-driven design and exploration of digital musical instruments. CHI Extended Abstracts (2014)
Avneesh Sarwate, Rebecca Fiebrink
Variator: A Creativity Support Tool for Music Composition. NIME (2013)
Ohad Fried, Rebecca Fiebrink
Cross-modal Sound Mapping Using Deep Learning. NIME (2013)
Dan Morris, Rebecca Fiebrink
Using machine learning to support pedagogy in the arts. Pers. Ubiquitous Comput. 17 (8) (2013)
KatieAnna Wolf, Rebecca Fiebrink
SonNet: A Code Interface for Sonifying Computer Network Data. NIME (2013)
Reid Oda, Adam Finkelstein, Rebecca Fiebrink
Towards Note-Level Prediction for Networked Music Performance. NIME (2013)
Danielle Bragg, Rebecca Fiebrink
Synchronous Data Flow Modeling for DMIs. NIME (2013)
Avneesh Sarwate, Rebecca Fiebrink
Expansion on Description-Based Design of Melodies. MUME@AIIDE (2013)
Zhe Xu, Rebecca Fiebrink, Yoky Matsuoka
Virtual therapist: A Phantom robot-based haptic system for personalized post-surgery finger rehabilitation. ROBIO (2012)
Margaret Schedel, Phoenix Perry, Rebecca Fiebrink
Wekinating 000000Swan: Using Machine Learning to Create and Control Complex Artistic Systems. NIME (2011)
Rebecca Fiebrink, Perry R. Cook, Dan Trueman
Human model evaluation in interactive supervised learning. CHI (2011)
Margaret Schedel, Rebecca Fiebrink
A Demonstration of Bow Articulation Recognition with Wekinator and K-Bow. ICMC (2011)
Rebecca Fiebrink, Daniel Trueman, N. Cameron Britt, Michelle Nagai, Konrad Kaczmarek, Michael Early, M. R. Daniel, Anne Hege, Perry R. Cook
Toward Understanding Human-Computer Interaction In Composing The Instrument. ICMC (2010)
Rebecca Fiebrink
Real-time interaction with supervised learning. CHI Extended Abstracts (2010)
Ge Wang, Rebecca Fiebrink
PLOrk Beat Science 2.0. NIME (2009)
Rebecca Fiebrink, Dan Trueman, Perry R. Cook
A Meta-Instrument for Interactive, On-the-Fly Machine Learning. NIME (2009)
Rebecca Fiebrink, Dan Morris, Meredith Ringel Morris
Dynamic mapping of physical controls for tabletop groupware. CHI (2009)
Ge Wang, Georg Essl, Jeff Smith, Spencer Salazar, Perry R. Cook, Rob Hamilton, Rebecca Fiebrink, Jonathan Berger, David Zhu, Mattias Ljungstrom, Arnaud Berry, Jennifer Wu, Turner Kirk, Elon Berger, Jillian Segal
Smule = Sonic Media: An Intersection of the Mobile, Musical, and Social. ICMC (2009)
Rebecca Fiebrink, Perry R. Cook
Play-Along Mapping of Musical Controllers. ICMC (2009)
Rebecca Fiebrink, Ge Wang, Perry R. Cook
Support for MIR Prototyping and Real-Time Applications in the ChucK Programming Language. ISMIR (2008)
Rebecca Fiebrink, Ge Wang, Perry R. Cook
Foundations for on-the-Fly Learning in the Chuck Programming Language. ICMC (2008)
Ge Wang, Rebecca Fiebrink, Perry R. Cook
Music Information Retrieval in ChucK; Real-Time Prototyping for MIR Systems & Performance. ISMIR (2008)
Christopher DeCoro, Zafer Barutçuoglu, Rebecca Fiebrink
Bayesian Aggregation for Hierarchical Genre Classification. ISMIR (2007)
Ge Wang, Rebecca Fiebrink, Perry R. Cook
Combining Analysis and synthesis in the Chuck Programming Language. ICMC (2007)
Rebecca Fiebrink, Ge Wang, Perry R. Cook
Don't Forget the Laptop: Using Native Input Capabilities for Expressive Musical Control. NIME (2007)
Rebecca Fiebrink, Ichiro Fujinaga
Feature Selection Pitfalls and Music Classification. ISMIR (2006)
Cory McKay, Rebecca Fiebrink, Daniel McEnnis, Beinan Li, Ichiro Fujinaga
ACE: A Framework for Optimizing Music Classification. ISMIR (2005)
Rebecca Fiebrink, Cory McKay, Ichiro Fujinaga
Combining D2K and JGAP for Efficient Feature Weighting for Classification Tasks in Music Information Retrieval. ISMIR (2005)
David Birnbaum, Rebecca Fiebrink, Joseph W. Malloch, Marcelo M. Wanderley
Towards a Dimension Space for Musical Artifacts. NIME (2005)
Cory McKay, Daniel McEnnis, Rebecca Fiebrink, Ichiro Fujinaga
Ace: a General-Purpose Classification Ensemble Optimization Framework. ICMC (2005)
Elliot Sinyor, Cory McKay, Rebecca Fiebrink, Daniel McEnnis, Ichiro Fujinaga
Beatbox Classification Using ACE. ISMIR (2005)