Don't panic!

Hesenius, Marc; Börsting, Ingo; Meyer, Ole; Gruhn, Volker

doi:10.1145/3236112.3236148

Cited by 16 publications

(5 citation statements)

References 11 publications

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“…In the study by Mahadevan et al (2018), a mixed interface of three explicit cues situated on the automobile, street infrastructure, and a pedestrian's smartphone was viewed as time-consuming and perplexing by many participants. Hesenius et al (2018) reported a similar finding, where participants disliked the prototype that visualizes safe zones, navigation paths, and vehicle intents simultaneously. In the case of multiple AVs, an increase in the number of external displays was expected to impose a high cognitive load onto pedestrians (Robert Jr, 2019) and turn street crossing into "an analytical process" (Moore et al, 2019).…”

Section: Scalabilitymentioning

confidence: 66%

“…Recent work has explored several different AR eHMI concepts but has yet to examine the scalability aspect. Tong and Jia (2019) designed an AR interface to warn pedestrians of oncoming vehicles while other studies have presented navigational concepts (Hesenius et al, 2018;Pratticò et al, 2021) and theoretically-supported prototypes (Tabone et al, 2021b) offering crossing advice. Our study attempts to extend this body of work through an empirically based investigation of wearable AR design concepts in a multi-vehicle situation.…”

Section: Wearable Ar Conceptsmentioning

confidence: 99%

“…The third approach combines both types of visual cues by displaying car overlays and an animated zebra crossing simultaneously. This approach was implemented based on study findings from Hesenius et al (2018), taking into account the possibility of participants having different preferences regarding different combinations of cues.…”

Section: Design Conceptsmentioning

confidence: 99%

“…Various AR concepts have been designed to convey roadcrossing information (Hesenius et al, 2018;Pratticò et al, 2021;Tabone et al, 2021b) and provide collision warnings to pedestrians (Tong et al, 2021). However, to our knowledge, no studies have been undertaken to date to evaluate AR concepts in a complex traffic setting where pedestrians must consider the intentions of several AVs in making crossing decisions.…”

Section: Introductionmentioning

confidence: 99%

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Designing Wearable Augmented Reality Concepts to Support Scalability in Autonomous Vehicle-Pedestrian Interaction

Tran

Parker²,

Wang³

et al. 2022

Front. Comput. Sci.

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Wearable augmented reality (AR) offers new ways for supporting the interaction between autonomous vehicles (AVs) and pedestrians due to its ability to integrate timely and contextually relevant data into the user's field of view. This article presents novel wearable AR concepts that assist crossing pedestrians in multi-vehicle scenarios where several AVs frequent the road from both directions. Three concepts with different communication approaches for signaling responses from multiple AVs to a crossing request, as well as a conventional pedestrian push button, were simulated and tested within a virtual reality environment. The results showed that wearable AR is a promising way to reduce crossing pedestrians' cognitive load when the design offers both individual AV responses and a clear signal to cross. The willingness of pedestrians to adopt a wearable AR solution, however, is subject to different factors, including costs, data privacy, technical defects, liability risks, maintenance duties, and form factors. We further found that all participants favored sending a crossing request to AVs rather than waiting for the vehicles to detect their intentions—pointing to an important gap and opportunity in the current AV-pedestrian interaction literature.

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Section: Scalabilitymentioning

confidence: 66%

Section: Wearable Ar Conceptsmentioning

confidence: 99%

Section: Design Conceptsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Designing Wearable Augmented Reality Concepts to Support Scalability in Autonomous Vehicle-Pedestrian Interaction

Tran

Parker²,

Wang³

et al. 2022

Front. Comput. Sci.

View full text Add to dashboard Cite

show abstract

“…One of the problems is that AR is currently challenging to implement, with only the most recent headsets capable of creating a compelling and user-friendly experience (e.g., Microsoft Hololens 2, Varjo XR 3, Magic Leap 2). While exceptions exist (e.g., Kang et al, 2023 ; Zhang et al, 2023 ), much previous AR research for pedestrians has limitations: some studies focus solely on the orienting phase without any form of human-subject evaluation ( Tabone et al, 2021b ; Tong et al, 2021 ), others use questionnaires with photos or videos ( Hesenius et al, 2018 ; Tabone et al, 2023a ; Wilbrink et al, 2023 ), and still others test AR concepts in immersive virtual reality (VR) environments ( Pratticò et al, 2021 ; Tran et al, 2022 ; Tabone et al, 2023b ; Malik et al, 2023 ). A critical note that should be made in this last point is that, although valid results can be obtained in VR, this is strictly speaking not AR.…”

Section: Introductionmentioning

confidence: 99%

Augmented reality for supporting the interaction between pedestrians and automated vehicles: an experimental outdoor study

Aleva,

Tabone,

Dodou

et al. 2024

Front. Robot. AI

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Introduction: Communication from automated vehicles (AVs) to pedestrians using augmented reality (AR) could positively contribute to traffic safety. However, previous AR research for pedestrians was mainly conducted through online questionnaires or experiments in virtual environments instead of real ones.Methods: In this study, 28 participants conducted trials outdoors with an approaching AV and were supported by four different AR interfaces. The AR experience was created by having participants wear a Varjo XR-3 headset with see-through functionality, with the AV and AR elements virtually overlaid onto the real environment. The AR interfaces were vehicle-locked (Planes on vehicle), world-locked (Fixed pedestrian lights, Virtual fence), or head-locked (Pedestrian lights HUD). Participants had to hold down a button when they felt it was safe to cross, and their opinions were obtained through rating scales, interviews, and a questionnaire.Results: The results showed that participants had a subjective preference for AR interfaces over no AR interface. Furthermore, the Pedestrian lights HUD was more effective than no AR interface in a statistically significant manner, as it led to participants more frequently keeping the button pressed. The Fixed pedestrian lights scored lower than the other interfaces, presumably due to low saliency and the fact that participants had to visually identify both this AR interface and the AV.Discussion: In conclusion, while users favour AR in AV-pedestrian interactions over no AR, its effectiveness depends on design factors like location, visibility, and visual attention demands. In conclusion, this work provides important insights into the use of AR outdoors. The findings illustrate that, in these circumstances, a clear and easily interpretable AR interface is of key importance.

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Audio Flaneur Experience for Bar-Hopping

Sato

Morita

Arai

et al. 2021

Advances in Intelligent Systems and Computing

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This research implies a service application providing pedestrians of modern cities with the audio approach. The mobile audio service Barsonar enhances the night-time strolling in alleys, lanes, or backstreets; in other words bar-hopping or pub-crawling. The pedestrians can search for a bar/pub in nocturnal cities as if using a fish-sonar on a boat out in the sea fishing, and decide on the direction to head and the destination to drink out. Barsonar provides a real-time bustle map along with an aural navigation through your mobile. This paper presents an initial paper prototype that investigates the customer journey the service shall provide, and also indicates potentials for how an aural flaneur experience and the soundscape for metropolitan cities that can act as third places shall be in the era of drastic change.

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Don't panic!

Cited by 16 publications

References 11 publications

Designing Wearable Augmented Reality Concepts to Support Scalability in Autonomous Vehicle-Pedestrian Interaction

Designing Wearable Augmented Reality Concepts to Support Scalability in Autonomous Vehicle-Pedestrian Interaction

Augmented reality for supporting the interaction between pedestrians and automated vehicles: an experimental outdoor study

Audio Flaneur Experience for Bar-Hopping

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