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Evaluation of a Driver Assistant Client in the Context of Urban Logistics and Electric Vehicles

Authors:
Christian Stolcis
Johan Buchholz
Volkmar Schau

Keywords: Survey, Usability, Electric Vehicles

Abstract:
The use of Electric Vehicles (EVs) is limited. Uncertainty concerning the short range and the lack of solutions matching the users needs are factors that hinder widespread use of the technology in business and logistics contexts. In Smart City Logistik (SCL) project, a Driver Assistant Client (DAC) was developed to help to overcome fears, limited information and uncertainty in the context of urban logistics. To evaluate the users needs and intentions, an iterative and open approach was designed and consequently used. Triangulation helped to get the best possible insights out of each of three phases of development and the findings were used to improve the DAC. The beginning of the project was accompanied by a lot of uncertainty, so qualitative information was gathered to understand how the drivers work routines look like and which attitudes towards new technologies prevailed. A more quantitative approach helped to gather a broad range of opinions on specific usability topics, before the actual users will be asked about their daily experience with the system. This agile and iterative approach helped to identify important aspects while designing the DAC and to compare different solutions, e.g. regarding important functionalities, menu-structure, font, button-size, and other parameters. The implementation of these findings enabled the project partners to develop a broadly accepted user interface and system that will be used in electric vehicles in urban logistics.

Pages: 235 to 239

Copyright: Copyright (c) IARIA, 2016

Publication date: April 24, 2016

Published in: conference

ISSN: 2308-4138

ISBN: 978-1-61208-468-8

Location: Venice, Italy

Dates: from April 24, 2016 to April 28, 2016