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

Choice overload and recommendation effectiveness in related-article recommendations

  • Posted: 27 May 2019
  • Author: , Felix Beierle., Akiko Aizawa, Andrew Collins, Joeran Beel
  • Publication: International Journal on Digital Libraries
Personalising the User Experience

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
Conference

An evaluation of a 3D multimodal marker-less motion analysis system

  • Posted: 18 Jun 2019
  • Author: , T.B. Rodrigues, C. Ó Catháin, D. Devine, K. Moran, N.E. O'Connor, N. Murray
  • Publication: MMSys '19 - ACM International Conference on Multimedia Systems 2019
Conference

User interaction for visual lifelog retrieval in a virtual environment

  • Posted: 8 Jan 2019
  • Author: , Aaron Duane, Cathal Gurrin
  • Publication: MMM 2019 - 25th International Conference on Multimedia Modeling

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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