Lancaster EPrints

Automatic form filling on mobile devices

Rukzio, Enrico and Noda, Chie and Luca, Alexander De and Hamard, John and Coskun, Fatih (2008) Automatic form filling on mobile devices. Pervasive and Mobile Computing, 4 (2). pp. 161-181. ISSN 1574-1192

Full text not available from this repository.

Abstract

Filling out forms for web based services on mobile devices is a very time consuming and frustrating task for users because of the limited text input capabilities. This is a critical bottleneck to obtaining a wide acceptance of such services, especially mobile commerce that often requires filling user data. We developed an architecture based on a local proxy on a mobile device and a lightweight algorithm for a comprehensive analysis of forms, which leads to the most probable user data to be filled in, driven by an initial rule set [Chie Noda, John Hamard, Enrico Rukzio, Alexander De Luca, Method and Apparatus for Automatic Form Filling on Mobile Devices, Patent. Publication number EP1777629, Publication date 2007-04-25]. We further discuss our implementation and the evaluation results for the algorithm as well as the usability of the prototype.

Item Type: Article
Journal or Publication Title: Pervasive and Mobile Computing
Additional Information: This journal paper, in press with Elsevier Pervasive and Mobile Computing, summarizes research on automatic form filling on mobile devices, contributing an architecture and algorithm shown to perform better than established form filling systems. This is an example of work with industrial co-authorship (with researchers at NTT DoCoMo), and industrial significance is also evident in patents for the described system granted in Europe (EP1777629) and Japan (JP2007183916). RAE_import_type : Internet publication RAE_uoa_type : Computer Science and Informatics
Uncontrolled Keywords: Automatic form filling ; Mobile devices ; Context aware ; Visualization of uncertainty ; Mobile text entry
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 13078
Deposited By: ep_importer_comp
Deposited On: 01 Jul 2008 16:39
Refereed?: Yes
Published?: Published
Last Modified: 23 Oct 2017 01:08
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/13078

Actions (login required)

View Item