Finding directions to a good GPS system: A comparative analysis and development of a predictive model
Document Type
Conference Proceeding
Publication Date
1-1-2014
Abstract
GPS devices have become commonplace today, almost as common as cell phones, especially for the developed and emerging economies. In this research paper, the development of a predictive model for selecting a GPS system for use based on the analysis of the interface design is described. The research presents subjective data from user interaction surveys, and objective data using the Keystroke Level Model (KLM). After comparison, inferences or predictions are made based on the analysis of available data. The research makes valid contributions to the GPS interface design field, and the GPS market. A higher level of accuracy can be achieved with data from a larger user survey group, and use of additional models, and an automated tool such as CogTool. © 2014 Springer International Publishing.
Publication Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
First Page Number
454
Last Page Number
465
DOI
10.1007/978-3-319-07227-2_43
Recommended Citation
Landy, James; Lopez, Tatiana; Ndee, Nkemjika; Predaswad, Pimpisa; Lozano, Eyobin; and Morreale, Patricia, "Finding directions to a good GPS system: A comparative analysis and development of a predictive model" (2014). Kean Publications. 2019.
https://digitalcommons.kean.edu/keanpublications/2019