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Dr Rebecca Fiebrink

Staff details

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

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 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

Human model evaluation in interactive supervised learning
Fiebrink, Rebecca; Cook, Perry R. and Trueman, Dan. 2011. Human model evaluation in interactive supervised learning. In: Rebecca Grinter; Thomas Rodden; Paul Aoki; Ed Cutrell; Robin Jeffries and Gary Olson, eds. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. New York: ACM, pp. 147-156. ISBN 9781450302289

Article

BlockyTalky: Tangible Distributed Computer Music for Kids
Shapiro, R. Benjamin; Kelly, Annie; Ahrens, Matthew; Johnson, Benjamin; Politi, Heather and Fiebrink, Rebecca. 2017. BlockyTalky: Tangible Distributed Computer Music for Kids. Computer Music Journal, 41(2), 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

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.

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. 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

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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