Comparing User Acceptance in Human–Machine Interfaces Assessments of Shared Autonomous Vehicles: A Standardized Test Procedure

Human–Machine Interfaces (HMIs) in autonomous driving technology have recently gained significant research interest in public transportation. However, most of the studies are biased towards qualitative methods, while combining quantitative and qualitative approaches has yet to receive commensurate a...

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Main Authors: Ming Yan, Lucia Rampino, Giandomenico Caruso
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/15/1/45
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author Ming Yan
Lucia Rampino
Giandomenico Caruso
author_facet Ming Yan
Lucia Rampino
Giandomenico Caruso
author_sort Ming Yan
collection DOAJ
description Human–Machine Interfaces (HMIs) in autonomous driving technology have recently gained significant research interest in public transportation. However, most of the studies are biased towards qualitative methods, while combining quantitative and qualitative approaches has yet to receive commensurate attention in measuring user acceptance of design outcome evaluation. To the best of our knowledge, no standardized test procedure that combines quantitative and qualitative methods has been formed to evaluate and compare the interrelationships between different designs of HMIs and their psychological effects on users. This paper proposes a practical and comprehensive protocol to guide assessments of user acceptance of HMI design solutions. We first defined user acceptance and analyzed the existing evaluation methods. Then, specific ergonomic factors and requirements that the designed output HMI should meet were identified. Based on this, we developed a protocol to evaluate a particular HMI solution from in- and out-of-vehicle perspectives. Our theoretical protocol combines objective and subjective measures to compare users’ behavior when interacting with Autonomous Vehicles (AVs) in a virtual experimental environment, especially in public transportation. Standardized testing procedures provide researchers and interaction designers with a practical framework and offer theoretical support for subsequent studies.
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spelling doaj-art-d8a37d6b08ef4d838e9c90118d60d8b62025-01-10T13:14:15ZengMDPI AGApplied Sciences2076-34172024-12-011514510.3390/app15010045Comparing User Acceptance in Human–Machine Interfaces Assessments of Shared Autonomous Vehicles: A Standardized Test ProcedureMing Yan0Lucia Rampino1Giandomenico Caruso2Department of Design, Politecnico di Milano, 20158 Milan, ItalyDepartment of Design, Politecnico di Milano, 20158 Milan, ItalyDepartment of Mechanical Engineering, Politecnico di Milano, 20156 Milan, ItalyHuman–Machine Interfaces (HMIs) in autonomous driving technology have recently gained significant research interest in public transportation. However, most of the studies are biased towards qualitative methods, while combining quantitative and qualitative approaches has yet to receive commensurate attention in measuring user acceptance of design outcome evaluation. To the best of our knowledge, no standardized test procedure that combines quantitative and qualitative methods has been formed to evaluate and compare the interrelationships between different designs of HMIs and their psychological effects on users. This paper proposes a practical and comprehensive protocol to guide assessments of user acceptance of HMI design solutions. We first defined user acceptance and analyzed the existing evaluation methods. Then, specific ergonomic factors and requirements that the designed output HMI should meet were identified. Based on this, we developed a protocol to evaluate a particular HMI solution from in- and out-of-vehicle perspectives. Our theoretical protocol combines objective and subjective measures to compare users’ behavior when interacting with Autonomous Vehicles (AVs) in a virtual experimental environment, especially in public transportation. Standardized testing procedures provide researchers and interaction designers with a practical framework and offer theoretical support for subsequent studies.https://www.mdpi.com/2076-3417/15/1/45human–machine interfacesuser acceptanceshared autonomous vehiclesstandardized test proceduretest protocol
spellingShingle Ming Yan
Lucia Rampino
Giandomenico Caruso
Comparing User Acceptance in Human–Machine Interfaces Assessments of Shared Autonomous Vehicles: A Standardized Test Procedure
Applied Sciences
human–machine interfaces
user acceptance
shared autonomous vehicles
standardized test procedure
test protocol
title Comparing User Acceptance in Human–Machine Interfaces Assessments of Shared Autonomous Vehicles: A Standardized Test Procedure
title_full Comparing User Acceptance in Human–Machine Interfaces Assessments of Shared Autonomous Vehicles: A Standardized Test Procedure
title_fullStr Comparing User Acceptance in Human–Machine Interfaces Assessments of Shared Autonomous Vehicles: A Standardized Test Procedure
title_full_unstemmed Comparing User Acceptance in Human–Machine Interfaces Assessments of Shared Autonomous Vehicles: A Standardized Test Procedure
title_short Comparing User Acceptance in Human–Machine Interfaces Assessments of Shared Autonomous Vehicles: A Standardized Test Procedure
title_sort comparing user acceptance in human machine interfaces assessments of shared autonomous vehicles a standardized test procedure
topic human–machine interfaces
user acceptance
shared autonomous vehicles
standardized test procedure
test protocol
url https://www.mdpi.com/2076-3417/15/1/45
work_keys_str_mv AT mingyan comparinguseracceptanceinhumanmachineinterfacesassessmentsofsharedautonomousvehiclesastandardizedtestprocedure
AT luciarampino comparinguseracceptanceinhumanmachineinterfacesassessmentsofsharedautonomousvehiclesastandardizedtestprocedure
AT giandomenicocaruso comparinguseracceptanceinhumanmachineinterfacesassessmentsofsharedautonomousvehiclesastandardizedtestprocedure