Adaptive user interface customization through browsing knowledge capitalization.
Hypermedia data browsing is a mean for improving information access. However, the overload and the heterogeneity of medical information, as well as the multitude of possible navigational paths, turn the consultation of data into a difficult task. We present in this paper a solution for the development of adaptive user interfaces in a hypermedia data browsing environment. It is based on the capitalization of the users knowledge in the decision-making process, expressed in terms of navigational paths and of data presentation modes that are customized to the user's preferences and practice. This capitalization offers the user a way to automatically store and reuse the experience accumulated in browsing through patient records. We illustrate our approach with the implementation of HEMA, a clinical workstation prototype that we have specialized for the cardiology domain.
Ghédira
Chirine
C
Laboratoire d'Ingénierie des Systèmes d'Information (LISI), INSA, Lyon, France.
Maret
Pierre
P
Fayn
Jocelyne
J
Rubel
Paul
P
D001185:Artificial Intelligence; D002309:Cardiology; D003199:Computer Systems; D019992:Databases as Topic; D003658:Decision Making, Computer-Assisted; D004562:Electrocardiography; D005500:Follow-Up Studies; D006801:Humans; D019146:Hypermedia; D020407:Internet; D008491:Medical Informatics Applications; D016347:Medical Records Systems, Computerized; D011381:Programming Languages; D013902:Radiography, Thoracic; D014584:User-Computer Interface