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e-Research Adaptive Interface (eRaUI) Prof Farhi Marir, Dr Sahithi Siva and Dr Yanguo Jing eRaUI JISC 2011 - Strand C Faculty of Computing London Metropolitan University

e-Research Adaptive Interface (eRaUI)

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Page 1: e-Research Adaptive Interface (eRaUI)

e-Research Adaptive Interface (eRaUI)

Prof Farhi Marir, Dr Sahithi Siva and Dr Yanguo Jing

eRaUI JISC 2011 - Strand C

Faculty of Computing London Metropolitan University

Page 2: e-Research Adaptive Interface (eRaUI)

Motivation

• E-Research can be defined as the use of networked, distributed and shared digital tools and data to support the research process for the production of knowledge.

• E-Research serves as both a conceptual guide to the creation of an “operating philosophy” for research processes using the Web and as a practical guide for educational researchers.

eRaUI JISC 2011 - Strand C

Faculty of Computing London Metropolitan University

Page 3: e-Research Adaptive Interface (eRaUI)

Drawback

• A major drawback of E-Research tools is their inability to provide a variety of simple to complex interfaces and services depending on whether the researcher is experienced or novice.

eRaUI JISC 2011 - Strand C

Faculty of Computing London Metropolitan University

Page 4: e-Research Adaptive Interface (eRaUI)

eRaUI - AIM

• This e-Research adaptive User Interface (eRaUI) project aims at developing personalised user interfaces for text mining e-Research tools @NaCTeM (http://www.nactem.ac.uk/).

• To build an adaptable and learnable eRaUI, we will combine different algorithms and techniques.

eRaUI JISC 2011 - Strand C

Faculty of Computing London Metropolitan University

Page 5: e-Research Adaptive Interface (eRaUI)

eRaUI Objectives• The main aim of this proposal is to develop an adaptive and

learnable e-Research User Interface (eRaUI) for NaCTeM e-Research tools.

• This aim will be achieved through the following objectives:– Identify different types of users of NaCTeM and carry out user

modelling, – Implement advanced filtering algorithm(s) for extracting

appropriate digital content to match user needs, – Analyse and design adaptive UI with workflow system

capabilities to support different groups’ activities and learning,– Use visualisation techniques for better navigation, information

display and action planning and– Explore the integration of eRaUI with NaCTeM, implement, test

and evaluate its adaptability and learnability.

eRaUI JISC 2011 - Strand C

Faculty of Computing London Metropolitan University

Page 6: e-Research Adaptive Interface (eRaUI)

Anticipated Outputs and Outcomes• The project will produce:– An adaptable and learnable interface to NaCTeM text

mining e-research tool called eRaUI that significantly improves the learnability of NaCTeM resources,

– A project blog that documents the progress of the project with at least monthly postings,

– A detailed briefing paper that describes the approach taken and the lessons learned in terms of learnability and usability design,

– A final completion report

eRaUI JISC 2011 - Strand C

Faculty of Computing London Metropolitan University

Page 7: e-Research Adaptive Interface (eRaUI)

• Thank you...

eRaUI JISC 2011 - Strand C

Faculty of Computing London Metropolitan University

Page 8: e-Research Adaptive Interface (eRaUI)

Sample UIs – Current NaCTeM ToolseRaUI JISC 2011 - Strand C

Faculty of Computing London Metropolitan University