Personalising the User Experience

Personalising the User Experience

This work is motivated by the volume and veracity of information that end users are tasked with trying to make sense of daily. We are revolutionising how users discover, share and work with multimodal content as part of the global conversation by focusing on pertinent content/actions. To date researchers in this Theme have developed baseline approaches and associated/implemented frameworks to:

  • Dynamically deliver notifications in a personalised way;
  • Create personalised visualisations on the fly;
  • Elicit users’ attitudes to privacy and;
  • Support entity-centric explorative information retrieval.

This research will uncover a more fluid interaction between users and the content that surrounds them, allowing them to more efficiently and effectively work with that content.

Research team

Publications

Journal Article

Comparing Topic Model Stability across Language and Corpus Size

  • Posted: 1 Sep 2016
  • Author: Gary Munnelly, Jennifer Edmond, Simon Hengchen
  • Publication: Proceedings of the Japanese Association for Digital Humanities Conference 2016
Conference Paper

Perception of Bias: The Impact of User Characteristics, Website Design and Technical Features

  • Posted: 23 Aug 2017
  • Author: Brendan Spillane, Séamus Lawless, Vincent Wade
  • Publication: WI 2017 - 2017 IEEE/WIC/ACM International Conference on Web Intelligence
Journal Article

Query Expansion with Enriched User Profiles for Personalized Search Utilizing Folksonomy Data

  • Posted: 7 Jun 2017
  • Author: Séamus Lawless, Dong Zhou, Xuan Wu, Wenyu Zhao, and Jianxun Liu
  • Publication: IEEE Transactions on Knowledge and Data Engineering
Conference Paper

Transmedia Storytelling Applied to Interactive Digital Narrative for Cultural Heritage Tourism

  • Posted: 11 Oct 2017
  • Author: Nicole Basaraba, Owen Conlan, Jennifer Edmond, P. Arnds
  • Publication: Transmedia Earth Conference: Global Convergence Cultures

Research Goals

Continuous Personalisation, is working on adding actionable items, via services, that allow users to engage with this content (and its originator). Dynamically generating models of users and their changing contexts, and the enhancement of the personalisation engine for highly dynamic content are in progress.

User Control and Adaptive Peripheral Awareness, is expanding its privacy awareness and management work to deliver a privacy management framework to help users control their data and how it flows to third-party services. The visualisation framework is further developed to give users a dynamic insight into their digitised self.

Personalised Content Retrieval, enhances approaches to the personalisation of knowledge discovery processes on multimodal content. This research investigates entity-centric approaches to information retrieval in explorative, knowledge acquisition contexts.

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