Exploring object-based content adaptation for mobile audio

Tim Walton, Michael Evans, David Kirk, Frank Melchior

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)
11 Downloads (Pure)


Mobile devices enable users to consume media with audio content in a wide range of contexts, with environmental noise being present in many of these. Several methods exist that aim to improve the experience of mobile listening by utilising information about the environmental noise, such as volume and dynamic range adaptation. This paper explores a fundamentally different approach to improving the mobile listening experience by using the object-based audio paradigm, where individual audio sources are mixed in response to each specific listening context. Three experimental studies, containing both quantitative and qualitative aspects, are presented which investigate whether environmental noise influences preference of background-foreground audio object balance in a mix. The results indicate that environmental noise can influence the preferred audio mix and that the nature of the adaptations made is dependent upon both audio content and user. Additionally, qualitative analysis provides an understanding of the role of environmental noise on preferred audio mix. It is believed that the content adaptation method explored in this paper is a simple yet useful tool for adapting content to suit both the context and the user.
Original languageEnglish
Pages (from-to)707-720
JournalPersonal and Ubiquitous Computing
Issue number4
Early online date27 Feb 2018
Publication statusPublished - 1 Aug 2018


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