@inproceedings{90a494b64fa144f9976540a84034a69e,
title = "Finding directions to a good GPS system: A comparative analysis and development of a predictive model",
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.",
keywords = "DeLorme Street Atlas, Garmin, GoogleMaps, GPS, KLM, Magellan, predictive model, TomTom, user survey",
author = "James Landy and Tatiana Lopez and Nkemjika Ndee and Pimpisa Predaswad and Eyobin Lozano and Patricia Morreale",
year = "2014",
doi = "10.1007/978-3-319-07227-2_43",
language = "English",
isbn = "9783319072265",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
number = "PART 3",
pages = "454--465",
booktitle = "Human-Computer Interaction",
edition = "PART 3",
note = "16th International Conference on Human-Computer Interaction: Applications and Services, HCI International 2014 ; Conference date: 22-06-2014 Through 27-06-2014",
}