Context-Adaptive support information for truck drivers: An interview study on its contents priority
Paper in proceedings, 2017

Truck drivers is a key group to promote road safety. For them, proper priority ranking scheme of content adaptation design benefits the high system effectiveness of in-vehicle driver decision support. Taking Chinese truck drivers as an example, the present study revealed the context-Adaptive support information from the perspective of truck drivers; their perceptions of in-vehicle information contents priority in 6 typical driving contexts. Data of 19 participants from 7 logistics companies were collected using a simulation interview method. Based on qualitative summary and statistical analysis, the results are summarized in two aspects; contextual information priority and impacts of driving experience on it. From the perspective of truck driver requirement, these results provide references for the design of context-Adaptive driver decision support.

simulation interview

truck driver

Driver decision support

information contents


context adaptation


Yuan Liao

Chalmers, Energy and Environment, Physical Resource Theory

G. Li

Shenzhen University

Fang Chen

Chalmers, Applied Information Technology (Chalmers), Interaction Design (Chalmers)

28th IEEE Intelligent Vehicles Symposium, IV 2017, Redondo Beach, United States, 11-14 June 2017


Areas of Advance

Information and Communication Technology






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