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SEMINAR 29th Oct: Neil Maiden - Computer Science Research to Support the Residential Care of Older People with Dementia

Neil Maiden - City University London
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Published: Oct 27, 2014 11:24:58 AM

SEMINAR 22nd October: Robert J.K. Jacob - Reality-Based Interaction, Next Generation User Interfaces, and Brain-Computer Interfaces.

3pm on the 22nd of October in Malet Place Engineering Building, 1.03 More...

Published: Oct 20, 2014 5:45:20 PM

SEMINAR 15th October: Rebecca Fiebrink. Interactive Machine Learning for End-User Systems building in Music Composition and Performance

I build, study, teach about, and perform with new human-computer interfaces for real-time digital music performance. Much of my research concerns the use of supervised learning as a tool for musicians, artists, and composers to build digital musical instruments and other real-time interactive systems. Through the use of training data, these algorithms offer composers and instrument builders a means to specify the relationship between low-level, human-generated control signals (such as the outputs of gesturally-manipulated sensor interfaces, or audio captured by a microphone) and the desired computer response (such as a change in the parameters driving computer-generated audio). The task of creating an interactive system can therefore be formulated not as a task of writing and debugging code, but rather one of designing and revising a set of training examples that implicitly encode a target function, and of choosing and tuning an algorithm to learn that function.

In this talk, I will provide a brief introduction to interactive computer music and the use of supervised learning in this field. I will show a live musical demo of the software that I have created to enable non-computer-scientists to interactively apply standard supervised learning algorithms to music and other real-time problem domains. This software, called the Wekinator, supports human interaction throughout the entire supervised learning process, including the generation of training data by real-time demonstration and the evaluation of trained models through hands-on application to real-time inputs.

Drawing on my work with users applying the Wekinator to real-world problems, I'll discuss how data-driven methods can enable more effective approaches to building interactive systems, through supporting rapid prototyping and an embodied approach to design, and through "training" users to become better machine learning practitioners. I'll also discuss some of the remaining challenges at the intersection of machine learning and human-computer interaction that must be addressed for end users to apply machine learning more efficiently and effectively, especially in interactive contexts.
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Published: Oct 14, 2014 3:47:32 PM

SEMINAR 8th Oct: Katja Hofmann - Microsoft Research

Wednesday, 8th of October, 3pm More...

Published: Oct 6, 2014 5:06:59 PM

SEMINAR 1st October - Duncan Brumby: Improving the everyday interactions with your phone, and maybe medical devices too

3pm Wednesday the 1st of October More...

Published: Oct 1, 2014 9:52:14 AM

Page last modified on 11 dec 12 11:04 by Sonja Van Praag