Title
Trust Evaluation in an Android System for Detection and Alert Falls
Abstract
The number of people who need special care and are living alone has increased significantly in recent years. To help and assist them, different kinds of systems have been developed, for example, to detect and alert falls. However, the acceptance of such systems requires on the user part the belief that the system uses the collected data properly and not cause any harm. Specifically, trust for ubiquitous systems, which represent computing everywhere, anytime, and transparent for the final user, is a relevant issue. Thus, this paper evaluates, using measures of software quality, trust in a ubiquitous system, called fAlert, for detecting and warning falls. fAlert is an Android system that makes use of sensors to detect anomalies in everyday user activities.
Year
DOI
Venue
2014
10.1145/2664551.2664578
WebMedia
Keywords
Field
DocType
software quality,trust,measures,software science,fall detection,context-awareness
Ubiquitous systems,World Wide Web,Android (operating system),Computer security,Computer science,Harm,Context awareness,Software quality
Conference
Citations 
PageRank 
References 
1
0.35
5
Authors
4