Perspectives on Bayesian Optimization for HCI, 2015

Authors: Bjørn Sand Jensen, Jan Larsen, Jens Brehm Bagger Nielsen
Type: Conference paper
Conference: CHI’15 Workshop on Principles, Techniques and Perspectives on Optimization and HCI
Title: CHI’15 Workshop on Principles, Techniques and Perspectives on Optimization and HCI
Year: 2015

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.

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