Browse by Goldsmiths authors: Fiebrink, Rebecca

Number of items: 58.
  • How Boardgame Players Imagine Interacting With Technology. (2024) Farkas, Timea; Hughes, Nathan Gerard Jayy and Fiebrink, Rebecca
  • The Effects of a Soundtrack on Board Game Player Experience. (2022) Farkas, Timea; Denisova, Alena; Wiseman, Sarah and Fiebrink, Rebecca
  • InteractML: Making machine learning accessible for creative practitioners working with movement interaction in immersive media. (2021) Hilton, Clarice; Plant, Nicola; Fiebrink, Rebecca; Perry, Phoenix; González Díaz, Carlos; Gibson, Ruth; Martelli, Bruno; Zbyszynski, Michael and Gillies, Marco
  • MetaVR: Understanding metaphors in the mind and relation to emotion through immersive, spatial interaction. (2021) G. Djokic, Vesna; Shutova, Ekaterina and Fiebrink, Rebecca
  • Interactive Machine Learning for Embodied Interaction Design: A Tool and Methodology. (2021) Plant, Nicola; Hilton, Clarice; Gillies, Marco; Fiebrink, Rebecca; Perry, Phoenix; González Díaz, Carlos; Gibson, Ruth; Martelli, Bruno and Zbyszynski, Michael
  • A Grounded Analysis of Player-Described Board Game Immersion. (2020) Farkas, Timea; Wiseman, Sarah; Cairns, Paul and Fiebrink, Rebecca
  • Reflections on Eight Years of Instrument Creation with Machine Learning. (2020) Fiebrink, Rebecca and Sonami, Laetitia
  • Movement Interaction Design for Immersive Media Using Interactive Machine Learning. (2020) Plant, Nicola; Gibson, Ruth; Diaz, Carlos Gonzalez; Martelli, Bruno; Zbyszynski, Michael; Fiebrink, Rebecca; Gillies, Marco; Hilton, Clarice and Perry, Phoenix picture_as_pdf
  • Creating Latent Spaces for Modern Music Genre Rhythms Using Minimal Training Data. (2020) Vigliensoni, Gabriel; McCallum, Louis and Fiebrink, Rebecca
  • Designing and Evaluating the Usability of a Machine Learning API for Rapid Prototyping Music Technology. (2020) Bernardo, Francisco; Zbyszynski, Michael; Grierson, Mick and Fiebrink, Rebecca
  • From rituals to magic: Interactive art and HCI of the past, present, and future. (2019) Jeon, Myounghoon; Fiebrink, Rebecca; Edmonds, Ernest A. and Herath, Damith
  • Machine Learning Education for Artists, Musicians, and Other Creative Practitioners. (2019) Fiebrink, Rebecca
  • Learning to See: You Are What You See. (2019) Akten, Memo; Fiebrink, Rebecca and Grierson, Mick
  • Toward Supporting End-User Design of Soundscape Sonifications. (2019) Wolf, KatieAnna and Fiebrink, Rebecca
  • Sound Control: Supporting Custom Musical Interface Design for Children with Disabilities. (2019) Parke-Wolfe, Samuel Thompson; Scurto, Hugo and Fiebrink, Rebecca
  • Interactive Machine Learning for More Expressive Game Interactions. (2019) Diaz, Carlos Gonzales; Perry, Phoenix and Fiebrink, Rebecca
  • Towards Humane Feedback Mechanisms in Exploratory Search. (2019) Sørig, Esben; Collignon, Nicolas; Fiebrink, Rebecca and Kando, Noriko
  • Emerging Perspectives in Human-Centered Machine Learning. (2019) Ramos, Gonzalo; Suh, Jina; Ghorashi, Soroush; Meek, Christoper; Banks, Richard; Amershi, Saleema; Fiebrink, Rebecca; Smith-Renner, Alison and Bansal, Gagan
  • Personalised Interactive Sonification of Musical Performance Data. (2019) Wolf, KatieAnna and Fiebrink, Rebecca
  • Supporting Feature Engineering in End-User Machine Learning. (2019) McCallum, Louis and Fiebrink, Rebecca
  • Evaluation of Rich and Explicit Feedback for Exploratory Search. (2019) Sørig, Esben; Collignon, Nicolas; Fiebrink, Rebecca and Kando, Noriko
  • Machine Learning, Music and Creativity: An Interview with Rebecca Fiebrink. (2019) Holland, Simon and Fiebrink, Rebecca
  • Deep Meditations: Controlled navigation of latent space. (2018) Akten, Memo; Fiebrink, Rebecca and Grierson, Mick
  • How Machine Learning Impacts the Undergraduate Computing Curriculum. (2018) Shapiro, R. Benjamin; Fiebrink, Rebecca and Norvig, Peter picture_as_pdf
  • User-Centred Design Actions for Lightweight Evaluation of an Interactive Machine Learning Toolkit. (2018) Bernardo, Francisco; Grierson, Mick and Fiebrink, Rebecca
  • Introduction to the Special Issue on Human-Centered Machine Learning. (2018) Fiebrink, Rebecca and Gillies, Marco
  • The Machine Learning Algorithm as Creative Musical Tool. (2018) Fiebrink, Rebecca and Caramiaux, Baptiste
  • Creative Diversity: Expanding Software for 3D Human Avatar Design. (2017) Niehaus, Kiona Hagen and Fiebrink, Rebecca
  • Tangible Distributed Computer Music for Youth. (2017) Shapiro, R. Benjamin; Kelly, Annie; Ahrens, Matthew; Johnson, Benjamin; Politi, Heather and Fiebrink, Rebecca
  • Creative Diversity: Expanding Software for 3D Human Avatar Design. (2017) Niehaus, Kiona Hagen and Fiebrink, Rebecca
  • Machine Learning as Meta-Instrument: Human-Machine Partnerships Shaping Expressive Instrumental Creation. (2017) Fiebrink, Rebecca
  • Interactive Machine Learning for End-User Innovation. (2016) Bernardo, Francisco; Zbyszynski, Michael; Fiebrink, Rebecca and Grierson, Mick
  • Grab-and-play mapping: Creative machine learning approaches for musical inclusion and exploration. (2016) Scurto, Hugo and Fiebrink, Rebecca
  • BlockyTalky: A Physical and Distributed Computer Music Toolkit for Kids. (2016) Shapiro, R. Benjamin; Kelly, Annie; Ahrens, Matthew and Fiebrink, Rebecca
  • The Global Metronome: Absolute tempo sync for networked musical performance. (2016) Oda, Reid and Fiebrink, Rebecca
  • Human-Centered Machine Learning. (2016) Gillies, Marco; Fiebrink, Rebecca; Tanaka, Atau; Garcia, Jérémie; Amershi, Saleema; Lee, Bongshin; Bevilacqua, Frédéric; Heloir, Alexis; Nunnari, Fabrizio; Mackay, Wendy; Kulesza, Todd; Caramiaux, Baptiste; d’Alessandro, Nicolas and Tilmanne, Joëlle
  • Continuous score-coded pitch correction. (2015) Salazar, Spencer; Fiebrink, Rebecca; Wang, Ge; Ljungstrom, Mattias; Smith, Jeffrey C. and Cook, Perry R.
  • Using Distributed Cognition Theory to Analyze Collaborative Computer Science Learning. (2015) Deitrick, Elise; Shapiro, R. Benjamin; Ahrens, Matthew P.; Fiebrink, Rebecca; Lehrman, Paul D. and Farooq, Saad
  • 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. (2015) Fiebrink, Rebecca
  • End-user Development of Sonifications using Soundscapes. (2015) Wolf, KatieAnna; Gliner, Genna and Fiebrink, Rebecca
  • The Roman de Fauvel as Synthetic Digital Object. (2015) Zayaruznaya, Anna and Fiebrink, Rebecca
  • Continuous pitch-corrected vocal capture device cooperative with content server for backing track mix. (2015) Salazar, Spencer; Fiebrink, Rebecca; Wang, Ge; Ljungstrom, Mattias; Smith, Jeffrey C. and Cook, Perry R.
  • MalLo: A Distributed, Synchronized Instrument for Internet Music Performance. (2015) Jin, Zeyu; Oda, Reid; Finkelstein, Adam and Fiebrink, Rebecca
  • Using Interactive Machine Learning to Support Interface Development Through Workshops with Disabled People. (2015) Katan, Simon; Grierson, Mick and Fiebrink, Rebecca description
  • Using Interactive Machine Learning to Support Interface Development Through Workshops with Disabled People. (2015) Katan, Simon; Grierson, Mick and Fiebrink, Rebecca
  • Using Interactive Machine Learning to Support Interface Development Through Workshops with Disabled People. (2015) Katan, Simon; Grierson, Mick and Fiebrink, Rebecca
  • A Model for Data-Driven Sonification Using Soundscapes. (2015) Wolf, KatieAnna E; Gliner, Genna and Fiebrink, Rebecca
  • Supplementary materials for "A Model for Data-Driven Sonification Using Soundscapes," a poster presented at the ACM Intelligent User Interfaces Conference in 2015. (2015) Wolf, KatieAnna; Gliner, Genna and Fiebrink, Rebecca
  • Wekinator 2.0. (2015) Fiebrink, Rebecca
  • Reimagining the Facsimile: Project Report on The Digital Fauvel. (2014) Fiebrink, Rebecca and Zayaruznaya, Anna
  • Proceedings of the 24th International Conference on New Interfaces for Musical Expression. (2014)
  • BeatBox: End-user Interactive Definition and Training of Recognizers for Percussive Vocalizations. (2014) Hipke, Kyle; Toomim, Michael; Fiebrink, Rebecca and Fogarty, James
  • Improving Data-driven Design and Exploration of Digital Musical Instruments. (2014) Laguna, Christopher Patrick and Fiebrink, Rebecca
  • World stage for pitch-corrected vocal performances. (2014) Salazar, Spencer; Fiebrink, Rebecca; Wang, Ge; Ljungstrom, Mattias; Smith, Jeffrey C. and Yang, Jeannie
  • Using Machine Learning to Support Pedagogy in the Arts. (2013) Fiebrink, Rebecca
  • Human model evaluation in interactive supervised learning. (2011) Fiebrink, Rebecca; Cook, Perry R. and Trueman, Dan
  • The Wekinator: Software for using machine learning to build real-time interactive systems. (2011) Fiebrink, Rebecca; Trueman, Dan and Cook, Perry R.
  • Don’t Forget the Laptop: Using Native Input Capabilities for Expressive Musical Control. (2007) Fiebrink, Rebecca; Wang, Ge and Cook, Perry R.