Towards guidelines and verification methods for automated vehicle HMIs

Naujoks, Frederik; Wiedemann, Katharina; Schömig, Nadja; Hergeth, Sebastian; Keinath, Andreas

doi:10.1016/j.trf.2018.10.012

Cited by 74 publications

(73 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Human factors research strives to accomplish the task of safer and more efficient human-automation interaction, where the first and most 2 of 22 important aspect that must be regarded is appropriate HMI design with a user-centered perspective. Following guidelines for proper interface design in automated driving (see e.g., [2]), developers can design HMIs that are simple, intuitive, and user-friendly. As well, one additional challenge for a successful market introduction is the development and deployment of user education with driving automation.…”

Section: Introductionmentioning

confidence: 99%

User Education in Automated Driving: Owner’s Manual and Interactive Tutorial Support Mental Model Formation and Human-Automation Interaction

et al. 2019

Self Cite

View full text Add to dashboard Cite

Automated driving systems (ADS) and a combination of these with advanced driver assistance systems (ADAS) will soon be available to a large consumer population. Apart from testing automated driving features and human–machine interfaces (HMI), the development and evaluation of training for interacting with driving automation has been largely neglected. The present work outlines the conceptual development of two possible approaches of user education which are the owner’s manual and an interactive tutorial. These approaches are investigated by comparing them to a baseline consisting of generic information about the system function. Using a between-subjects design, N = 24 participants complete one training prior to interacting with the ADS HMI in a driving simulator. Results show that both the owner’s manual and an interactive tutorial led to an increased understanding of driving automation systems as well as an increased interaction performance. This work contributes to method development for the evaluation of ADS by proposing two alternative approaches of user education and their implications for both application in realistic settings and HMI testing.

show abstract

Section: Introductionmentioning

confidence: 99%

User Education in Automated Driving: Owner’s Manual and Interactive Tutorial Support Mental Model Formation and Human-Automation Interaction

et al. 2019

Self Cite

View full text Add to dashboard Cite

show abstract

“…The automated vehicle driving replaces the work of the drives from controlling the vehicle activity to supervising the action of the vehicle and in some cases it is just a fall back level, the use of machine interface has to give a support to the drive interaction , like handling control in the automation and should help in supervising the automation and driving vehicle , the driving the vehicle, the automations provides support to driver by informing about current task, action, and intention, that indicators help in providing a reliable level in the field of automation and the use of text boxers are to provide the messages to the drivers, when the automation is increased it ensures the trust and acceptance in the level of safety in controlling the vehicle, human machine interface helps the safety and using of automated driving in the ergonomic principles of these interfaces are taken into account the legibility may lead to mental loads and other visual problems when the information is provided human machine interface is received and display a good position out when the drivers expected that view might be in the position of failing to load and provide attention when required, the cause is to set the principles and design criteria of the initial set of data about the automation of the vehicle is provided and is made the research and this is the initial point and the automated vehicle is still emerging and this provides the guidance to the level of automation in the vehicle and verification of the automation with the vehicles [14].…”

Section: Resultsmentioning

confidence: 99%

Recent Development of Automation in Vehicle Manufacturing Industries

2019

IJITEE

View full text Add to dashboard Cite

This paper presents the application of automation in different areas of motor vehicle manufacturing industry such as; robotic wheel loading, defect tracking in process, automated machine adjustment and restructuring, decision making, multi arm operation, final assembly and most important safety feature. In this work explore the present automation application and also find out the better way to implement in future to minimize the human efforts and time. These technologies based on the automation and artificial intelligence that will helps to make the process more efficient, stable and flexible. Moreover, aspects of changeability and adaptiveness of automation system have to be considered. The aim of this study to identified the opportunities and scope for future research trend in the field of automobile industries.

show abstract

“…The complete list of items is presented in Table 1. The derivations of these items from the literature are elaborately described in [5]. Table 1.…”

Section: Checklist Itemsmentioning

confidence: 99%

“…The heuristic assessment method consists of a set of ADS HMI guidelines together with a checklist that can be used as a systematic HMI inspection and a problem reporting sheet. This version of the checklist and the considered HMI principles are reported in [5] and [6].…”

mentioning

confidence: 99%

Checklist for Expert Evaluation of HMIs of Automated Vehicles—Discussions on Its Value and Adaptions of the Method within an Expert Workshop

et al. 2020

Self Cite

View full text Add to dashboard Cite

Within a workshop on evaluation methods for automated vehicles (AVs) at the Driving Assessment 2019 symposium in Santa Fe; New Mexico, a heuristic evaluation methodology that aims at supporting the development of human–machine interfaces (HMIs) for AVs was presented. The goal of the workshop was to bring together members of the human factors community to discuss the method and to further promote the development of HMI guidelines and assessment methods for the design of HMIs of automated driving systems (ADSs). The workshop included hands-on experience of rented series production partially automated vehicles, the application of the heuristic assessment method using a checklist, and intensive discussions about possible revisions of the checklist and the method itself. The aim of the paper is to summarize the results of the workshop, which will be used to further improve the checklist method and make the process available to the scientific community. The participants all had previous experience in HMI design of driver assistance systems, as well as development and evaluation methods. They brought valuable ideas into the discussion with regard to the overall value of the tool against the background of the intended application, concrete improvements of the checklist (e.g., categorization of items; checklist items that are currently perceived as missing or redundant in the checklist), when in the design process the tool should be applied, and improvements for the usability of the checklist.

show abstract

Towards guidelines and verification methods for automated vehicle HMIs

Cited by 74 publications

References 45 publications

User Education in Automated Driving: Owner’s Manual and Interactive Tutorial Support Mental Model Formation and Human-Automation Interaction

User Education in Automated Driving: Owner’s Manual and Interactive Tutorial Support Mental Model Formation and Human-Automation Interaction

Recent Development of Automation in Vehicle Manufacturing Industries

Checklist for Expert Evaluation of HMIs of Automated Vehicles—Discussions on Its Value and Adaptions of the Method within an Expert Workshop

Contact Info

Product

Resources

About