Perspectives on Bayesian Optimization for HCI

Sand Jensen, B. , Nielsen, J. B. and Larsen, J. (2015) Perspectives on Bayesian Optimization for HCI. In: CHI 2015: Workshop on Principles, Techniques and Perspectives on Optimization and HCI, Seoul, Republic of Korea, 18-23 Apr 2015,

[img]
Preview
Text
119552.pdf - Published Version

134kB

Abstract

In this position paper we discuss optimization in the HCI domain based on our experiences with Bayesian methods for modeling and optimization of audio systems, including challenges related to evaluating, designing, and optimizing such interfaces. We outline and demonstrate how a combined Bayesian modeling and optimization approach provides a flexible framework for integrating various user and content attributes, while also supporting model-based optimization of HCI systems. Finally, we discuss current and future research direction and applications, such as inferring user needs and optimizing interfaces for computer assisted teaching.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Jensen, Dr Bjorn
Authors: Sand Jensen, B., Nielsen, J. B., and Larsen, J.
College/School:College of Science and Engineering > School of Computing Science
Copyright Holders:Copyright © 2015 The Authors
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

University Staff: Request a correction | Enlighten Editors: Update this record