Little Road Driving HUD: Heads-Up Display Complexity Influences Drivers’ Perceptions of Automated Vehicles

Currano, Rebecca; Park, So Yeon; Moore, Dylan; Lyons, Kent; Sirkin, David

doi:10.1145/3411764.3445575

Cited by 36 publications

(27 citation statements)

References 39 publications

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“…The goal of our review is to provide a clear understanding and definition of robot motion intent, its properties, and its relationships within HRI. Furthermore, our work provides a first discussion to relate our HRI findings to the growing domain of Automated Vehicles (AVs), so-called external Human-machine interfaces (eHMIs), which have identified similar research and design challenges [11,28,32,33,100].…”

Section: Manual Screeningmentioning

confidence: 96%

How to Communicate Robot Motion Intent: A Scoping Review

Pascher

Gruenefeld

Schneegaß

et al. 2023

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

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a) Motion [120] (b) Attention [67] (c) State [117] (d) Instruction [128] Fig. 1. (a) Robot motion intent: The robot communicates its intended motion (e.g., a trajectory of the robot's intended movement path is visualized in Augmented Reality [120]). Furthermore, our analysis revealed three additional types of intent that complement robot motion intents. (b) Attention: A robot aims to catch the user's attention for subsequent movement activity (e.g., by moving its whole body [67]). (c) State: A robot communicates its state so that a human can predict future motions and identify potential conflicts before they occur (e.g., the robot communicates its movement activity with the help of a colored LED stripe [117]). (d) Instruction: The robot aims to provide specific instructions so that the human can assist further movement (e.g., by requesting to open a door [128]).Robots are becoming increasingly omnipresent in our daily lives, supporting us and carrying out autonomous tasks. In Human-Robot Interaction, human actors benefit from understanding the robot's motion intent to avoid task failures and foster collaboration. Finding effective ways to communicate this intent to users has recently received increased research interest. However, no common language has been established to systematize robot motion intent. This work presents a scoping review aimed at unifying existing knowledge.Based on our analysis, we present an intent communication model that depicts the relationship between robot and human through different intent dimensions (intent type, intent information, intent location). We discuss these different intent dimensions and their interrelationships with different kinds of robots and human roles. Throughout our analysis, we classify the existing research literature along our intent communication model, allowing us to identify key patterns and possible directions for future research.

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Section: Manual Screeningmentioning

confidence: 96%

How to Communicate Robot Motion Intent: A Scoping Review

Pascher

Gruenefeld

Schneegaß

et al. 2023

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

View full text Add to dashboard Cite

show abstract

“…In regards to the visualization, there has been a lot of focus on designing navigational and informational interfaces for the HUD Pärsch et al [2019], Currano et al [2021]. In contrast, our work offers a novel approach in visualization design that can incorporate lateral risk information which inherently drives the haptic steering wheel feedback in a lateral assistance system.…”

Section: Related Workmentioning

confidence: 99%

“…One of the key elements that can reduce such nuisance is clear communication that leads to a good cooperative system Petermeijer et al [2021]. Recently, the addition of visual feedback to such systems, in the form of Head-Up Display (HUD) has shown promising results in providing drivers with an extra layer of information regarding vehicle perception and its comprehension of the surrounding environment Currano et al [2021], Colley et al [2021]. In our work, we apply this technology to provide continuous visual feedback to the driver, with the expectation that it helps in minimizing misconceptions and annoyance and ultimately eliminate the need to turn off such systems.…”

Section: Introductionmentioning

confidence: 99%

Continuous Visual Feedback of Risk for Haptic Lateral Assistance

Sharma¹,

Yasuda²,

Manuel³

2023

Preprint

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Lateral assistance systems are a significant part of the currently existing Advanced Driving Assistance System (ADAS). In most cases, such systems provide intermittent audio and haptic feedback rather than continuous feedback, making it difficult for drivers to form a clear mental model. In this paper, we propose continuous visual feedback for the lateral assistance system by leveraging the Head-Up Display (HUD) alongside haptic feedback through the steering wheel. The HUD provides visualization of the risk profile underlying the haptic feedback. We hypothesize that our proposed visualization helps form a clear mental model and improves the system's acceptance. We conduct a user study on a simulated version of a car driving on a two-lane freeway and compare the haptic lateral assistance system with and without the visualization on the HUD. While both conditions received high acceptance scores, there was no significant gain or deterioration in acceptance between them. We discuss potential improvements in the visualization based on anticipation performance and qualitative feedback from users.

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“…With our approach, we address a support system for cyclists which could be realizable in the near future with technologies such as 5G that will enable connected traffic and allow for real-time data sharing [26]. A large scope of work addressing road safety in a connected traffic context focuses on in-vehicle notification/warning systems for driver-passengers of automated vehicles (AVs) (e.g., [27][28][29][30]) or on how AVs can communicate their intentions to VRUs, especially pedestrians (e.g., [31,32]). Popular means of interacting with VRUs include external human-machine interfaces (eHMIs, e.g., [32,33]).…”

Section: Connected Trafficmentioning

confidence: 99%

“Attention! A Door Could Open.”—Introducing Awareness Messages for Cyclists to Safely Evade Potential Hazards

Sawitzky

Grauschopf

Riener

2021

MTI

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Numerous statistics show that cyclists are often involved in road traffic accidents, often with serious outcomes. One potential hazard of cycling, especially in cities, is “dooring”—passing parked vehicles that still have occupants inside. These occupants could open the vehicle door unexpectedly in the cyclist’s path—requiring a quick evasive response by the cyclist to avoid a collision. Dooring can be very poorly anticipated; as a possible solution, we propose in this work a system that notifies the cyclist of opening doors based on a networked intelligent transportation infrastructure. In a user study with a bicycle simulator (N = 24), we examined the effects of three user interface designs compared to a baseline (no notifications) on cycling behavior (speed and lateral position), perceived safety, and ease of use. Awareness messages (either visual message, visual message + auditory icon, or visual + voice message) were displayed on a smart bicycle helmet at different times before passing a parked, still-occupied vehicle. Our participants found the notifications of potential hazards very easy to understand and appealing and felt that the alerts could help them navigate traffic more safely. Those concepts that (additionally) used auditory icons or voice messages were preferred. In addition, the lateral distance increased significantly when a potentially opening door was indicated. In these situations, cyclists were able to safely pass the parked vehicle without braking. In summary, we are convinced that notification systems, such as the one presented here, are an important component for increasing road safety, especially for vulnerable road users.

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Little Road Driving HUD: Heads-Up Display Complexity Influences Drivers’ Perceptions of Automated Vehicles

Cited by 36 publications

References 39 publications

How to Communicate Robot Motion Intent: A Scoping Review

How to Communicate Robot Motion Intent: A Scoping Review

Continuous Visual Feedback of Risk for Haptic Lateral Assistance

“Attention! A Door Could Open.”—Introducing Awareness Messages for Cyclists to Safely Evade Potential Hazards

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