Dr Rebecca Fiebrink

Staff details

Position Senior Lecturer
Department Computing
Email r.fiebrink (@gold.ac.uk)
Phone +44 (0)20 7078 5136
Dr Rebecca Fiebrink

Rebecca is a lecturer in Computing at Goldsmiths, University of London. She is a member of the Embodied AudioVisual Interaction (EAVI) group, and also supervises research in the Soundlab at Princeton University. 

Visit Rebecca's website for full information

Areas of supervision

Interactive and end-user machine learning, technologies for computer music performance & composition, real-time analysis of gesture & audio, embodied interaction, laptop & mobile music, interactive technologies for the digital humanities.

 

Publications

Book

Proceedings of the 24th International Conference on New Interfaces for Musical Expression
Caramiaux, Baptiste; Tahiroğlu, Koray; Fiebrink, Rebecca and Tanaka, Atau, eds. 2014. Proceedings of the 24th International Conference on New Interfaces for Musical Expression. London, UK: Goldsmiths, University of London. ISBN 978-1-906897-29-1

Book Section

Machine Learning, Music and Creativity: An Interview with Rebecca Fiebrink
Holland, Simon and Fiebrink, Rebecca. 2019. Machine Learning, Music and Creativity: An Interview with Rebecca Fiebrink. In: Simon Holland; Tom Mudd; Katie Wilkie-McKenna; Andrew McPherson and Marcelo Wanderley, eds. Directions in Music and Human-Computer Interaction. London: Springer. ISBN 9783319920696

The Machine Learning Algorithm as Creative Musical Tool
Fiebrink, Rebecca and Caramiaux, Baptiste. 2018. The Machine Learning Algorithm as Creative Musical Tool. In: Roger T. Dean and Alex McLean, eds. The Oxford Handbook of Algorithmic Music. Oxford University Press, pp. 181-208. ISBN 9780190226992

Machine Learning as Meta-Instrument: Human-Machine Partnerships Shaping Expressive Instrumental Creation
Fiebrink, Rebecca. 2017. Machine Learning as Meta-Instrument: Human-Machine Partnerships Shaping Expressive Instrumental Creation. In: Till Bovermann; Alberto de Campo; Hauke Egermann; Sarah-Indriyati Hardjowirogo and Stefan Weinzierl, eds. Musical Instruments in the 21st Century. Singapore: Springer, pp. 137-151. ISBN 978-981-10-2950-9

Article

Machine Learning Education for Artists, Musicians, and Other Creative Practitioners
Fiebrink, Rebecca. 2019. Machine Learning Education for Artists, Musicians, and Other Creative Practitioners. ACM Transactions on Computing Education,

How Machine Learning Impacts the Undergraduate Computing Curriculum
Shapiro, R. Benjamin; Fiebrink, Rebecca and Norvig, Peter. 2018. How Machine Learning Impacts the Undergraduate Computing Curriculum. Communications of the ACM, 61(11), pp. 27-29. ISSN 0001-0782

Personalised Interactive Sonification of Musical Performance Data
Wolf, KatieAnna and Fiebrink, Rebecca. 2018. Personalised Interactive Sonification of Musical Performance Data. Journal on Multimodal User Interfaces, ISSN 1783-7677

User-Centred Design Actions for Lightweight Evaluation of an Interactive Machine Learning Toolkit
Bernardo, Francisco; Grierson, Mick and Fiebrink, Rebecca. 2018. User-Centred Design Actions for Lightweight Evaluation of an Interactive Machine Learning Toolkit. Journal of Science and Technology of the Arts (CITARJ), 10(2), 2-25-2-38. ISSN 1646-9798

Introduction to the Special Issue on Human-Centered Machine Learning
Fiebrink, Rebecca and Gillies, Marco. 2018. Introduction to the Special Issue on Human-Centered Machine Learning. ACM Transactions on Interactive Intelligent Systems, 8(2), ISSN 2160-6455

Tangible Distributed Computer Music for Youth
Shapiro, R. Benjamin; Kelly, Annie; Ahrens, Matthew; Johnson, Benjamin; Politi, Heather and Fiebrink, Rebecca. 2017. Tangible Distributed Computer Music for Youth. Computer Music Journal, 41(2), pp. 52-68. ISSN 01489267

Using Interactive Machine Learning to Support Interface Development Through Workshops with Disabled People
Katan, Simon; Grierson, Mick and Fiebrink, Rebecca. 2015. Using Interactive Machine Learning to Support Interface Development Through Workshops with Disabled People. CHI 2015, April 18 - 23, 2015, Proceedings,

Reimagining the Facsimile: Project Report on The Digital Fauvel
Fiebrink, Rebecca and Zayaruznaya, Anna. 2014. Reimagining the Facsimile: Project Report on The Digital Fauvel. Early Music, 42(4), pp. 599-604. ISSN 0306-1078

Using Machine Learning to Support Pedagogy in the Arts
Fiebrink, Rebecca. 2012. Using Machine Learning to Support Pedagogy in the Arts. Personal and Ubiquitous Computing, n/a, n/a-n/a. ISSN 1617-4909

Conference or Workshop Item

Deep Meditations: Controlled navigation of latent space
Akten, Memo; Fiebrink, Rebecca and Grierson, Mick. 2018. 'Deep Meditations: Controlled navigation of latent space'. In: NeurIPS 2018 Workshop on Machine Learning for Creativity and Design. Montreal, Canada 8 December 2018.

Emerging Perspectives in Human-Centered Machine Learning
Ramos, Gonzalo; Suh, Jina; Ghorashi, Soroush; Fiebrink, Rebecca; Bansal, Gagan; Meek, Christoper; Banks, Richard; Amershi, Saleema and Smith-Renner, Alison. 2018. 'Emerging Perspectives in Human-Centered Machine Learning'. In: CHI’19 Extended Abstracts on Human Factors in Computing Systems. Glasgow, United Kingdom.

Creative Diversity: Expanding Software for 3D Human Avatar Design
Niehaus, Kiona Hagen and Fiebrink, Rebecca. 2017. 'Creative Diversity: Expanding Software for 3D Human Avatar Design'. In: Digital Games Research Association Conference. Melbourne, Australia 3-6 July 2017.

Interactive Machine Learning for End-User Innovation
Bernardo, Francisco; Zbyszynski, Michael; Fiebrink, Rebecca and Grierson, Mick. 2016. 'Interactive Machine Learning for End-User Innovation'. In: Designing the User Experience of Machine Learning Systems. Palo Alto, California, United States 27-29 March 2017.

Grab-and-play mapping: Creative machine learning approaches for musical inclusion and exploration
Scurto, Hugo and Fiebrink, Rebecca. 2016. 'Grab-and-play mapping: Creative machine learning approaches for musical inclusion and exploration'. In: International Computer Music Conference. Utrecht, Netherlands 12-16 September 2016.

BlockyTalky: A Physical and Distributed Computer Music Toolkit for Kids
Shapiro, R. Benjamin; Kelly, Annie; Ahrens, Matthew and Fiebrink, Rebecca. 2016. 'BlockyTalky: A Physical and Distributed Computer Music Toolkit for Kids'. In: International Conference on New Interfaces for Musical Expression. Brisbane, Australia 11-15 July 2016.

The Global Metronome: Absolute tempo sync for networked musical performance
Oda, Reid and Fiebrink, Rebecca. 2016. 'The Global Metronome: Absolute tempo sync for networked musical performance'. In: International Conference on New Interfaces for Musical Expression. Brisbane, Australia 11-15 July 2016.

Human-Centered Machine Learning
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. 2016. 'Human-Centered Machine Learning'. In: CHI '16 Extended Abstracts on Human Factors in Computing Systems. San Jose, United States 26 April - 01 May.

Using Distributed Cognition Theory to Analyze Collaborative Computer Science Learning
Deitrick, Elise; Shapiro, R. Benjamin; Ahrens, Matthew P.; Fiebrink, Rebecca; Lehrman, Paul D. and Farooq, Saad. 2015. 'Using Distributed Cognition Theory to Analyze Collaborative Computer Science Learning'. In: Proceedings of the Eleventh Annual International Conference on International Computing Education Research (ICER '15). Omaha, Nebraska, United States 9-13 August 2016.

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.
Fiebrink, Rebecca. 2015. '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.'. In: International Conference on Auditory Display (ICAD) 2015. Graz, Austria 8-10 July 2015.

End-user Development of Sonifications using Soundscapes
Wolf, KatieAnna; Gliner, Genna and Fiebrink, Rebecca. 2015. 'End-user Development of Sonifications using Soundscapes'. In: International Conference on Auditory Display (ICAD) 2015. Graz, Austria 8-10 July 2015.

The Roman de Fauvel as Synthetic Digital Object
Zayaruznaya, Anna and Fiebrink, Rebecca. 2015. 'The Roman de Fauvel as Synthetic Digital Object'. In: IAML/IMS (International Association of Music Libraries, Archives, and Documentation Centres / International Musicological Society) Congress. New York City, New York, United States.

MalLo: A Distributed, Synchronized Instrument for Internet Music Performance
Jin, Zeyu; Oda, Reid; Finkelstein, Adam and Fiebrink, Rebecca. 2015. 'MalLo: A Distributed, Synchronized Instrument for Internet Music Performance'. In: 15th International Conference on New Interfaces for Musical Expression (NIME '15). Baton Rouge, Louisiana, United States 31 May - 3 June 2015.

Using Interactive Machine Learning to Support Interface Development Through Workshops with Disabled People
Katan, Simon; Grierson, Mick and Fiebrink, Rebecca. 2015. 'Using Interactive Machine Learning to Support Interface Development Through Workshops with Disabled People'. In: CHI 2015. Seoul, Korea, Republic of.

Using Interactive Machine Learning to Support Interface Development Through Workshops with Disabled People
Katan, Simon; Grierson, Mick and Fiebrink, Rebecca. 2015. 'Using Interactive Machine Learning to Support Interface Development Through Workshops with Disabled People'. In: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI '15). Seoul, Korea, Republic of 18-23 April 2015.

A Model for Data-Driven Sonification Using Soundscapes
Wolf, KatieAnna E; Gliner, Genna and Fiebrink, Rebecca. 2015. 'A Model for Data-Driven Sonification Using Soundscapes'. In: 20th International Conference on Intelligent User Interfaces (IUI '15). Atlanta, Georgia, United States 29 March - 1 April 2016.

BeatBox: End-user Interactive Definition and Training of Recognizers for Percussive Vocalizations
Hipke, Kyle; Toomim, Michael; Fiebrink, Rebecca and Fogarty, James. 2014. 'BeatBox: End-user Interactive Definition and Training of Recognizers for Percussive Vocalizations'. In: Proceedings of the 2014 International Working Conference on Advanced Visual Interfaces. Como, Italy 27-29 May 2014.

Human model evaluation in interactive supervised learning
Fiebrink, Rebecca; Cook, Perry R. and Trueman, Dan. 2011. 'Human model evaluation in interactive supervised learning'. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. Vancouver, Canada 7-12 May 2011.

Don’t Forget the Laptop: Using Native Input Capabilities for Expressive Musical Control
Fiebrink, Rebecca; Wang, Ge and Cook, Perry R.. 2007. 'Don’t Forget the Laptop: Using Native Input Capabilities for Expressive Musical Control'. In: International Conference on New Interfaces for Musical Expression. New York, NY, United States 7-9 June 2007.

Report

Supplementary materials for "A Model for Data-Driven Sonification Using Soundscapes," a poster presented at the ACM Intelligent User Interfaces Conference in 2015.
Wolf, KatieAnna; Gliner, Genna and Fiebrink, Rebecca. 2015. Supplementary materials for "A Model for Data-Driven Sonification Using Soundscapes," a poster presented at the ACM Intelligent User Interfaces Conference in 2015.. Documentation. UNSPECIFIED, ACM Conference on Intelligent User Interfaces (IUI).

Software

Wekinator 2.0
Fiebrink, Rebecca. 2015. Wekinator 2.0.

The Wekinator: Software for using machine learning to build real-time interactive systems
Fiebrink, Rebecca; Trueman, Dan and Cook, Perry R.. 2011. The Wekinator: Software for using machine learning to build real-time interactive systems.

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