Machine Learning, Expressive Movement, Interaction Design, Creative Applications at AISB

Machine Learning, Expressive Movement, Interaction Design, Creative Applications” is a workshop organized at the AISB Convention, that will be held at Goldsmiths, University of London. AISB is the Society for the Study of Artificial Intelligence and Simulation of Behavior (

The workshop is organized and facilitated by: Atau Tanaka (Goldsmiths), Marco Gillies (Goldsmiths), Rebecca Fiebrink (Goldsmiths), Baptiste Caramiaux (Goldsmiths) and Frédéric Bevilacqua (IRCAM, France).

See below the call for participation.

Call for Participation

Submission deadline: 21st January 2014 extended: 27th January 2014


Machine Learning (ML) is a set of techniques widely used for data analysis and understanding of complex phenomena. A subset of ML methods that are real time or that look at continuous data have been designed to carry out a wide variety of tasks such as gesture recognition, movement prediction, gesture spotting, animation, social signal processing, style generation. These in turn can be applied in diverse areas including novel human computer interaction methods, human robot interaction, musical performance, digital arts and entertainment. All of these application areas involve specific constraints in the design of ML methods, regarding movement complexity (e.g. from symbols to continuous gestures), learning procedure (e.g. from few examples) and realtime inference.


The workshop will take the form of a symposium to bear on the key challenges of the design of ML methods for expressive movement, interaction design and related fields. We wish to emphasize how the applications contexts contribute to shaping the methods used, the learning strategies, the tasks imagined. We will consider both computational challenges and interaction design issues. We will draw on advances in interactive art and music, fields which provide many relevant use cases for real-time, continuous, and “expressive” gestural interactions.

This 2-day symposium will consist of 3 sessions: presentations, demos, and an evening performance.

Researchers from industry, academia, and arts with an interest in the machine learning of gestural input are invited to submit one of the following types of position papers:
1.) Technical innovation in machine learning & gesture analysis
2.) Design case studies of gestural interaction systems
3.) Proposals for live demos of functional prototypes


To submit, please email your submission paper (PDF) to
Note that supporting videos are encouraged (send as URLs).

Papers should be maximum 4 pages in AISB format. Template files for submission can be found at:

Selection will be based on submission quality and relevance to the workshop topic. Each paper will be peer-reviewed by program committee members. At least one author of each accepted submission must register for AISB.

Note that a special issue in a journal will be considered and discussed during the workshop.


• Submission deadline: 21st January 2014 27th January 2014
• Notification of acceptance: 20 February 2014
• Workshop: 1-2 April 2014


• Atau Tanaka, Goldsmiths, University of London, UK
• Marco Gillies, Goldsmiths, University of London, UK
• Rebecca Fiebrink, Goldsmiths, University of London, UK
• Baptiste Caramiaux, Goldsmiths, University of London, UK
• Frédéric Bevilacqua, IRCAM, France