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Acceptance is in the Eye of the Stakeholder

Authors: Rosic, Jelena; Hammer, Florian; Gafert, Michael; Fröhlich, Peter;

Acceptance is in the Eye of the Stakeholder

Abstract

The transport logistics sector is expected to be a promising ground for the roll-out and business integration of automated vehicles. Within this transition towards driverless vehicles, fleet management and control interventions will have to be taken over by logistics personnel. However, so far, a specific needs and expectations analysis with regard to the involved stakeholders towards automated road transport logistics have only been analyzed to a limited degree, and consequently there is so far no systematic approach towards designing corresponding user interfaces. This demo video highlights the requirements gathering activities within the project AWARD, which investigates and develops all-weather autonomous real logistics operations and demonstrations. The demo video introduces into the different perspectives of the involved stakeholder groups, and it illustrates addressed use cases and operational scenarios. The derived acceptance factors model and first impressions of preliminary results are provided.

Keywords

technology acceptance model, automated vehicles, requirements gathering, automated road transport logistics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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