Paper Info
Title
The car data toolkit: smartphone supported automotive HCI research
Abstract
Automobiles are environments rich of data that have a high potential to be used as input for research and design. Various difficulties accessing car data exclude HCI experts from making use of this data in novel interfaces and research projects. We present the CarDaT (Car Data Toolkit) that uses Android smartphones to provide multidimensional sensor data in a minimal invasive way. CarDaT combines smartphone sensor data with data sources like OBD-II as well as other easily available remote data (e.g., weather). This data and the provided connectivity enable researchers to gather data on human behavior and designers to create novel context-aware interface solutions. Thus, CarDaT offers a low-cost, manufacturer independent and scalable in-car agile prototyping and research environment. In this paper we describe how we used smartphones in the CarDaT as tools for automotive research and design. We demonstrate potentials of CarDaT by describing three applications that we developed with the toolkit, namely rear seat games, an experience sampling study, as well as an experiment using car data in a driver distraction study to inform design.
Year
DOI
Venue
2013
10.1145/2516540.2516550
AutomotiveUI
Keywords
Field
DocType
car data,research environment,available remote data,automotive hci research,research project,smartphone sensor data,car data toolkit,android smartphones,automotive research,multidimensional sensor data,driver distraction study,data source
Distraction,Android (operating system),Simulation,Experience sampling method,Agile software development,Human–computer interaction,Engineering,Automotive industry,Scalability
Conference
Citations 
PageRank 
References 
2
0.42
9
Authors
6
Name
Order
Citations
PageRank
David Wilfinger120024.62
Martin Murer214221.10
Axel Baumgartner3223.05
Christine Döttlinger4333.44
Alexander Meschtscherjakov537960.06
Manfred Tscheligi62567570.72