1. Model’s core: Personalisation sub-model Model’s core: User sub-model
FCT NOVA – COMPUTER SCIENCE PhD PROGRAM
Model-driven Personalisation of the Human-Computer Interaction across Ubiquitous Computing Applications
Rui Neves Madeira
PhD Student
Supervisor: Nuno Correia, UNL
My research focuses on ubiquitous personalisation, HCI, contexto-aware and mobile computing, serious games.
Vision
Model’s core: Personalisation sub-model
Platform
Model’s core: User sub-model
S1 – LEY [developers]
S2 – FCT4U [end users]
S3 – WeSync [end users]
S4 – PhysioMate [end users]
S5 – Walker [developers]
Studies Cycle
Context,, Problem and Statement
Research Questions and Approach
Prototypes and Studies
Ubiquitous Computing (Ubicomp) is a human-centered vision aiming to provide the “right content/ interfaces” in context to its applications’ end- users. However, the process of obtaining and choosing them for each user is still a critical challenge.
Research Statement:
We propose a model-driven and cloud-based solution to assist in the development of personalised Ubicomp applications in order to provide developers with a set of easy to use and user-friendly guidelines and tools for applying personalisation to a wide spectrum of applications.
For end-users, interactions with a system A might be useful to personalise their experience when starting to use a system B. This one already might have a “starting profile” of the users in order to automatically adapt itself to them.
RQA Is it possible to build a generic pervasive model to be followed in the personalisation of different applications?
RQB How can user modelling and context modelling be integrated into a generic pervasive personalisation model?
RQC Is the user interaction with an application useful to personalise her/his experience with another application?
RQD Can a cloud-based solution be the solution in the support of the implementation of personalisations across different applications?
Solution:
X-Users model – pervasive generic personalisation model to guide third-party developers when applying personalisation across different applications in a standardised and consistent way.
Context-Aware based Personalisation Environment (CAPE) – modeling framework in which X-Users is inserted alongside with the module of user profiling/reasoning.
Cloud-based personalisation Platform for Multimodal Ubiquitous Computing Applications (P2MUCA) – final interface with developers encapsulating CAPE, allowing user interactions control and user preferences consistency across applications.
Development of different prototypes:
LEY - persuasive pervasive gaming on domestic energy consumption-awareness;
FCT4U - when private mobile displays meet public situated displays;
WeSync and WePlayTennis - adaptation to TV delays based on the user behaviour;
PhysioMate/justPhysioKidding - pervasive physical rehabilitation based on NUI and serious gaming;
Walker - mobile app to track people in physical spaces
To study the process of applying the model to the prototypes as a proof of concept at the developer side.
Two of Several Publications:
Building a Platform for Pervasive personalisation in a Ubiquitous Computing World, where the cloud-based platform was presented at Mobiquitous’14.
Model-Based Solution for personalisation of the User Interaction in Ubiquitous Computing, which presented the full solution focusing a little more on the model, at IEEE UIC’14. S
Where to test?
What User Type?
What to evaluate?
Experts
involved?
Implemented Application
Devs
End users
X-Users + XUPIL
CAPE
P2MUCA
Context aware
User profile across apps 1
LEY X
Developers’ applications 2
FCT4U 3
WeSync/ WePlayTennis x 4
PhysioMate/ justPhysioKidding 5
Walker
“All prototypes”