Bayesian user modeling: evaluation metrics of an adaptive user interface

Rim Rebai; Mohamed Amin Maalej; Adel Mahfoudhi; Mohamed Abid

doi:10.1117/12.2268568

17 March 2017 Bayesian user modeling: evaluation metrics of an adaptive user interface

Rim Rebai, Mohamed Amin Maalej, Adel Mahfoudhi, Mohamed Abid

Proceedings Volume 10341, Ninth International Conference on Machine Vision (ICMV 2016); 103412F (2017) https://doi.org/10.1117/12.2268568
Event: Ninth International Conference on Machine Vision, 2016, Nice, France

Abstract

The adaptability of a web application is its ability to react depending on the needs and the preferences of users. Thus, user models, used by such adaptive user interface, contain personal information which is required for learning personalized process. Then, evaluation of web applications interests on how users can learn to achieve their objectives. To gather this information a variety of measures have been used. In this paper, we investigate and present our adaptive Web interface using a Bayesian networks approach and we give a special importance to the evaluation of this web interface. The experiments show that the adaptive Web interface provides results that satisfy the user. We confirmed that the adaptive user interface was more comfortable for use than the fixed user interface.

Citation Download Citation

Rim Rebai, Mohamed Amin Maalej, Adel Mahfoudhi, and Mohamed Abid "Bayesian user modeling: evaluation metrics of an adaptive user interface", Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 103412F (17 March 2017); https://doi.org/10.1117/12.2268568

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available