Adaptive Driver Information: A Quantitative Study
Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Modern technology allows for adaptation of driver information to the driving context. What information that suits different driving contexts and drivers must be investigated thoroughly before adaptive information systems can be implemented in cars. The present study is a continuation of Davidsson’s (2009) mainly qualitative study of drivers’ needs for information and functions and aimed at collecting quantitative data which could provide the foundation for organizing information in context specific groupings. Data were collected with an electronic questionnaire that was administered to 455 respondents. The results showed that context specific groupings of information are difficult to identify with multivariate statistical methods like factor analysis and cluster analysis, partly because of too small amounts of data, but ranks of mean and median ratings of importance provided straightforward indications on which information the drivers need, and do not need, in various driving contexts.
Place, publisher, year, edition, pages
2011. , 143 p.
IdentifiersURN: urn:nbn:se:ltu:diva-50798Local ID: 806f3285-eb58-47dc-bc0d-0e8ed2ed5fd6OAI: oai:DiVA.org:ltu-50798DiVA: diva2:1024161
Subject / course
Student thesis, at least 30 credits
Industrial Design Engineering, master's level
Validerat; 20110214 (anonymous)2016-10-042016-10-04Bibliographically approved