eRaUI adaptive user interface. - Million Masterpiece

zoomzurichΤεχνίτη Νοημοσύνη και Ρομποτική

16 Οκτ 2013 (πριν από 3 χρόνια και 7 μήνες)

66 εμφανίσεις


1. Identify
different types of users and carry
out user modelling.
Two approaches:


An
explicit approach where each user can
choose a default user model at the very starting
point and depending on his/her behaviour the
user model will evolve
accordingly.


A
machine learning approach in which the user
model is built iteratively based on the user
behaviour and the pattern of his/her
preferences and/or searches
.




2. Implement
advanced filtering
algorithm(s) for extracting appropriate
digital content to match user needs
.




Content
methods will suggest topics similar
to ones the user has requested in the
past.


Collaborative
methods will suggest items
outside the user's normal area that the user
may find interesting.


These
methods will
be supported
by the user
models produced in Objective 1 in
recommending
choices rating
them on some
scale,


or
giving some similar form of evaluation to
help the user in their selections.



3. Analyse
and design adaptive UI with
workflow system capabilities to support
different groups’ activities and learning.



Once the behaviour and the needs of user
are identified from Objective 1 & 2,


a
workflow process will be implemented to
generate actions and plans to guide the users
in their learning process through an adaptive
minimal interface or



onion” model of user interfaces in which
each layer exposes
a different level of
complexity
providing a graduated learning
curve to novice researchers.



4. Use
visualisation techniques for better
navigation, information display and
action planning
.



Visualisation techniques will be incorporated
to help users develop and widen their
search. Search results will be displayed in
window panes or an interlinked network
similar to the approach used in
KartOO

(
http://www.kartoo.com/
).




5. Evaluation and Testing



Provide
some mechanisms to measure the
engagement of the users with the new eRaUI interface
against the existing interface of

NaCTeM

and other
tools.


Evaluate
eRaUI interface by our local researchers (PhD,
research associates and research academics)


eRaUI interface will be progressively evaluated by a
steering committee composed of


Three
internal members of staff: Prof Dominic Palmer
-
Brown who is specialised in machine learning and neural
networks,
Mr
Alan Stuart project manager for the
development of the university research management
tools, and
Mr
George Knapp who supports researchers in
using online library research tools and services.


Two
e
-
research tools managers: Professor Sophia
Ananiadou

director of
NaCTeM

e
-
research tool and Mr
Richard Milton who developed and maintains
MapTube

(
http://www.maptube.org/
) e
-
research tool.




eRaUI

Blog


logging all the activities and
ideas of the
eRaUI

team:


http://eraui.blogspot.com
/


Work Plan published on the blog


eRaUI Storyboard and Implementation
Plan published on the blog


Meetings published on the blog


eRaUI

Prototype


Under Development