Improving the experience in the pedestrian's interaction with an autonomous vehicle: An ergonomic comparison of external HMI

Métayer, Natacha; Cœugnet, Stéphanie

doi:10.1016/j.apergo.2021.103478

Cited by 23 publications

(10 citation statements)

References 39 publications

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“…The trajectories followed by the vehicle to navigate within this type of environment must remain acceptable to the users around the vehicle but also to the driver-passenger inside. Many studies currently investigate the communication between the autonomous vehicle and pedestrians through external human-machine interfaces (Faas et al, 2020 ; Métayer and Coeugnet, 2021 ), but it is also important to ensure that the passenger does not fear a collision risk (e.g., when the vehicle adopts proactive navigation, Kabtoul et al, 2020 ). It is therefore essential to study what will determine the acceptability of the vehicle's trajectory relative to other road users.…”

Section: Introductionmentioning

confidence: 99%

Risk Assessment by a Passenger of an Autonomous Vehicle Among Pedestrians: Relationship Between Subjective and Physiological Measures

Petit

Charron

Mars

2021

Front. Neuroergonomics

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Autonomous navigation becomes complex when it is performed in an environment that lacks road signs and includes a variety of users, including vulnerable pedestrians. This article deals with the perception of collision risk from the viewpoint of a passenger sitting in the driver's seat who has delegated the total control of their vehicle to an autonomous system. The proposed study is based on an experiment that used a fixed-base driving simulator. The study was conducted using a group of 20 volunteer participants. Scenarios were developed to simulate avoidance manoeuvres that involved pedestrians walking at 4.5 kph and an autonomous vehicle that was otherwise driving in a straight line at 30 kph. The main objective was to compare two systems of risk perception: These included subjective risk assessments obtained with an analogue handset provided to the participants and electrodermal activity (EDA) that was measured using skin conductance sensors. The relationship between these two types of measures, which possibly relates to the two systems of risk perception, is not unequivocally described in the literature. This experiment addresses this relationship by manipulating two factors: The time-to-collision (TTC) at the initiation of a pedestrian avoidance manoeuvre and the lateral offset left between a vehicle and a pedestrian. These manipulations of vehicle dynamics made it possible to simulate different safety margins regarding pedestrians during avoidance manoeuvres. The conditional dependencies between the two systems and the manipulated factors were studied using hybrid Bayesian networks. This relationship was inferred by selecting the best Bayesian network structure based on the Bayesian information criterion. The results demonstrate that the reduction of safety margins increases risk perception according to both types of indicators. However, the increase in subjective risk is more pronounced than the physiological response. While the indicators cannot be considered redundant, data modeling suggests that the two risk perception systems are not independent.

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Section: Introductionmentioning

confidence: 99%

Risk Assessment by a Passenger of an Autonomous Vehicle Among Pedestrians: Relationship Between Subjective and Physiological Measures

Petit

Charron

Mars

2021

Front. Neuroergonomics

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“…These concerns include false interpretations by VRUs, and the risk posed by other road users not in sync with the host e-HMI. Métayer and Coeugnet ( 29 ), Andersson et al ( 30 ), and Habibovic et al ( 31 ) also reported similar concerns. Additionally, while vehicle kinematics were considered the most reliable cues in the interaction between human-driven vehicles and VRUs, they were among the least important information to be displayed on e-HMIs and were also associated with frequent concerns.…”

Section: Discussionmentioning

confidence: 68%

Identifying User Needs and Current Challenges of External Interface Design for AV-VRU Communications: Insights from an Expert Survey Data Analysis

Ammar

Guo

Misra

et al. 2023

Transportation Research Record: Journal of the Transportation R

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The recent deployment of highly automated vehicles (AVs) in various cities highlights the potential improvement of transportation safety but also reveals the need for improved interaction between AVs and other road users, particularly vulnerable road users (VRUs). The reduction of driver involvement in this AV-VRU interaction results in the absence of human-to-human communication cues and thus calls for new system designs. Researchers have proposed designing external human–machine interfaces (e-HMIs) to replace these communication cues and improve the AV-VRU interaction. However, designing e-HMIs is complex and requires consideration of various factors, such as stakeholder responsibilities, context of use, user needs, implementation, design principles, and usability testing. This paper examines potential e-HMI design solutions from the perspective of experts to determine user needs and identify challenges. An online survey was conducted with 47 experts in the AV and VRU field to gather their opinions on anticipated issues in AV-VRU interaction, preferred e-HMI design options, and related concerns. Both quantitative and qualitative analyses of the data revealed that experts view “Awareness” and “Intent” as the most important information to be communicated through visual e-HMIs placed on AVs. Open-ended questions also showed that there were fewer experts concerned about “Awareness” and “Intent” compared with other information types, and more experts concerned about auditory cues compared with visual cues and about VRU wearable or handheld devices installation locations compared with other locations. These findings provide insights into the efficiency, feasibility, effectiveness, and challenges in developing e-HMIs for improved and safer communication between AVs and VRUs.

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“…Thus, industries and academics have been continuously attempting to determine how to design and construct a well-developed interface. The present research on automated driving exemplifies this [26][27][28]. Thus, a human-machine interface (HMI) has been designed and developed, in order to deliver convenience in the interactive process [29].…”

Section: Ergonomics and Interactionmentioning

confidence: 96%

Designing an Attractive Metaverse: Research on Design Factors Influencing Audience Satisfaction with a Virtual Space Based on QCA

Fang

Dong

Weng

et al. 2022

JTAER

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Consistent with the imminence of the metaverse, academics and industry have been paying more attention to the research into the metaverse. The viewpoint that present studies have linked the metaverse to the virtual space provides an opportunity to detect the metaverse. However, current research into virtual spaces remains undeveloped from the perspective of design, especially with a lack of an ergonomic and service viewpoint. Based on this, this study integrates ergonomics, information science and service management to determine how to build an attractive virtual space. Through 102 samples, employing qualitative comparative analysis, three main configurations are proposed, and contribute to filling this research gap. The results of this study indicate that, for designing a virtual space, human interactions with the virtual space should be taken into consideration selectively, from an internal or external perspective. As for the value-delivery process, the position of the audience should be reconsidered with the invalidity of value co-creation.

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Improving the experience in the pedestrian's interaction with an autonomous vehicle: An ergonomic comparison of external HMI

Cited by 23 publications

References 39 publications

Risk Assessment by a Passenger of an Autonomous Vehicle Among Pedestrians: Relationship Between Subjective and Physiological Measures

Risk Assessment by a Passenger of an Autonomous Vehicle Among Pedestrians: Relationship Between Subjective and Physiological Measures

Identifying User Needs and Current Challenges of External Interface Design for AV-VRU Communications: Insights from an Expert Survey Data Analysis

Designing an Attractive Metaverse: Research on Design Factors Influencing Audience Satisfaction with a Virtual Space Based on QCA

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