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Tech Papers 2019: This paper presents a machine learning approach to adapt TV user interfaces by analysing behavioural patterns, enabling truly personalised and adaptive viewing experiences beyond traditional remote or voice-based customisation.
Abstract
Currently, user interfaces displayed to viewers on their TVs look and behave similarly for all users. While sometimes it is possible to customise the user interface (UI) to a degree, users will rarely experience true customisation on a TV, mainly because that is difficult using a remote control or voice commands. Our research focuses on utilising machine learning to discover and interpret behavioural patterns and to adapt the UI accordingly. In this paper, we will share our solution for a truly adaptive UI, tailored to each viewer. This paper also showcases the machine learning engine, and examines our behavioural mapping technique and the mathematical theory behind it.
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