Assessment of visual demand of typical data entry tasks in automotive navigation systems for iPhone

Abstract

This paper aims to present an assessment of the visual demand of typical data entry tasks in two popular navigation systems among iPhone Brazilians users - TomTom App and iGO Primo App. Applying the extended KLM technique, the total times to perform the tasks with interruptions were estimated, with which it was possible to evaluate the potential for driver distraction as per criteria established by some recommended practices of automotive industry. With the results obtained, it was identified that the main issues that lead to increased visual demand afforded by the systems are related to the amount of screens that are required in the process of data entry and the failure to implement iOS features in applications developed for it. © 2012 - IOS Press and the authors. All rights reserved.