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Data · dataset · 2025

Data_Driver_ Engagement_and_Workload_ Assessment_in_ Automated_Driving_Systems

Listed in Teesside University Research Data Repository

This dataset comprises survey responses collected via Microsoft Forms, focusing on drivers' subjective experience and workload across four distinct driving automation modes.

Description

The primary objective of this study was to assess both visual and physical workload perceptions under varying levels of automation. The four driving modes investigated are defined as follows: Mode 1: Steering: Human, Speed/Brake: Human (Fully Manual) Mode 2: Steering: Human, Speed/Brake: Automated (Partial Automation - Longitudinal Control) Mode 3: Steering: Automated, Speed/Brake: Human (Partial Automation - Lateral Control) Mode 4: Steering: Automated, Speed/Brake: Automated (Full Automation)

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Longitudinal study 65%
Provenance · 1 source records, 7 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/xsg7n4233n.18 h agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[method].local:method:longitudinal-studyenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (65%)
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
licensesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/rights
publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
titlesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/title