Paper Info
Title
Empirical Evaluation of Intelligent Mobile User Interfaces in Healthcare.
Abstract
The users of mobile healthcare applications are not all the same, and there may be considerable variation in their requirements. In order for the application to be attractive to potential adopters, the interface should be very convenient and straightforward to use, and easy to learn. One way to accomplish this is with an intelligent mobile user interface (IMUI), so that the application can be readily adapted to suit user preferences. This paper presents the results of adapting the IMUI for the various user stereotypes and contexts in the healthcare environment. We begin with a context model of the healthcare domain and an analysis of user needs, and then proceed to solution analysis, followed by product design, development, and user testing in a real environment. In terms of IMUI design, we focus on adapting the MUI features for users in the healthcare context, either at design time or at runtime.
Year
DOI
Venue
2014
10.1007/978-3-319-06483-3_3
ADVANCES IN ARTIFICIAL INTELLIGENCE, CANADIAN AI 2014
Keywords
Field
DocType
Intelligent user interface,Mobile user interface,Adaptation,User modeling,Context model,Rule-based knowledge,Controlled experiment,Quality measurement
Health care,User testing,Intelligent user interface,Computer science,Context model,Human–computer interaction,User modeling,Controlled experiment,User interface design,User interface,Multimedia
Conference
Volume
ISSN
Citations 
8436
0302-9743
0
PageRank 
References 
Authors
0.34
11
3
Name
Order
Citations
PageRank
Reem Al-Nanih1253.19
Olga Ormandjieva231737.11
Thiruvengadam Radhakrishnan311732.44