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

Editors’ foreword to the special issue on human factors in neural machine translation

  • Posted: 1 Jun 2019
  • Author: Sheila Castilho, Federico Gaspari, Joss Moorkens, Maja Popović, Antonio Toral
  • Publication: Machine Translation
Conference

Task intelligence workshop@ WSDM 2019

  • Posted: 11 Feb 2019
  • Author: , Awadallah, Ahmed Hassan, Gurrin, Cathal , Sanderson, Mark, White, Ryen W.
  • Publication: WSDM '19 - 12th ACM International Conference on Web Search and Data Mining
Personalising the User Experience

Search Personalization via Aggregation of Multidimensional Evidence about User Interests

  • Posted: 13 Apr 2015
  • Author: Séamus Lawless, M. Rami Ghorab, Seamus Lawless
  • Publication: 16th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2015)
Journal Article

How Scholars Read Now: When the Signal IS the Noise

  • Posted: 7 Dec 2018
  • Author: Jennifer Edmond
  • Publication: Digital Humanities Quarterly , Special Issue on Distracted Reading

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.

Twitter
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@Adaptcentre
Exciting times for our former colleague @petercahill and his company Voysis. Congratulations to Peter and all the V… twitter.com/i/web/status/1…

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