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

Personalising the User Experience

A Review of User-centred Information Retrieval Tasks

  • Posted: 30 Jun 2016
  • Author: , Ali Hosseinzadeh vahid, Roghaiyeh Gachpaz hamed, Kevin Koidl
  • Publication: 24th Conference on User Modeling, Adaptation and Personalization, UMAP 2016
Journal Article

Personalized concept-based search on the Linked Open Data

  • Posted: 1 Jan 2016
  • Author: Vincent Wade, Melike Sah
  • Publication: Web Semantics: Science, Services and Agents on the World Wide WEB
Personalising the User Experience

Synthesis & Evaluation of a Mobile Notification Dataset

  • Posted: 9 Jul 2017
  • Author: Kieran Fraser, Bilal Yousuf, Owen Conlan
  • Publication: 25th Conference on User Modeling, Adaptation and Personalisation (UMAP 2017)
Personalising the User Experience

Using the Blockchain of Cryptocurrencies for Timestamping Digital Cultural Heritage

  • Posted: 1 Aug 2017
  • Author: Joeran Beel, Gipp, Bela, Norman Meuschke, Corinna Breitinger

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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