Visualizing Logged Truck Data - Facilitating a Better Understanding of Driver Behavior in the Truck Industry
| dc.contributor.author | FRÖLICH, DANIELA | |
| dc.contributor.department | Chalmers tekniska högskola / Institutionen för data och informationsteknik | sv |
| dc.contributor.examiner | Björk, Staffan | |
| dc.contributor.supervisor | Stahre Wästberg, Beata | |
| dc.date.accessioned | 2020-12-03T09:15:29Z | |
| dc.date.available | 2020-12-03T09:15:29Z | |
| dc.date.issued | 2020 | sv |
| dc.date.submitted | 2020 | |
| dc.description.abstract | The user interfaces in Volvo’s trucks are designed from user needs based on qualitative methods. The feature specialists express a lack of knowledge about driver behavior which forces them to guess and make assumptions. There is a possibility with today's technology to understand how a large set of users actually behave, through collecting and visualizing large amounts of quantitative data. The aim of this thesis is to explore how a visualizations of logged truck data can be designed to enable designers in the truck industry to better understand driver behavior. A Research through Design approach was followed to explore the subject. The process consisted of user research and two iterations of design, evaluation and implementation. During the user research a large set of diverse and specific needs were identified. The most important needs were that the specialists at Volvo were in need of knowing activation time for different functions and frequency of different control usages. The needs were used as a basis for the creation of a data visualization dashboard. Four key consideration areas from the process of creating the dashboard was identified. These were that users should be included early in the design process, learnings from the human visual perception should be used, colors should be carefully selected and that the number of logged trucks affect the viewer’s trust in the visualization. The final prototype was implemented in Power BI. The annotated dashboard and consideration areas answers the research question which was: What should be considered when visualizing logged truck data to facilitate designers’ understanding of driver behavior? The thesis contributed to filling the gap in research of using data visualization in the truck industry to enable a better understanding of driver behavior. | sv |
| dc.identifier.coursecode | DATX05 | sv |
| dc.identifier.uri | https://hdl.handle.net/20.500.12380/302098 | |
| dc.language.iso | eng | sv |
| dc.setspec.uppsok | Technology | |
| dc.subject | Data visualization | sv |
| dc.subject | interaction design | sv |
| dc.subject | data driven design | sv |
| dc.title | Visualizing Logged Truck Data - Facilitating a Better Understanding of Driver Behavior in the Truck Industry | sv |
| dc.type.degree | Examensarbete för masterexamen | sv |
| dc.type.uppsok | H |