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Context-Adaptive support information for truck drivers: An interview study on its contents priority

Yuan Liao (Institutionen för rymd-, geo- och miljövetenskap, Fysisk resursteori) ; G. Li ; Fang Chen (Institutionen för tillämpad informationsteknologi, Interaktionsdesign (Chalmers))
28th IEEE Intelligent Vehicles Symposium, IV 2017, Redondo Beach, United States, 11-14 June 2017 p. 1268-1273. (2017)
[Konferensbidrag, refereegranskat]

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.

Nyckelord: context adaptation , Driver decision support , information contents , priority , simulation interview , truck driver



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Denna post skapades 2017-09-06. Senast ändrad 2017-09-12.
CPL Pubid: 251686

 

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Institutioner (Chalmers)

Institutionen för rymd-, geo- och miljövetenskap, Fysisk resursteori
Institutionen för tillämpad informationsteknologi, Interaktionsdesign (Chalmers) (2011-2017)

Ämnesområden

Informations- och kommunikationsteknik
Transport
Informatik, data- och systemvetenskap

Chalmers infrastruktur