Cited by 59Human-Automation Interaction and SafetySocial Robot Interaction and HRITraffic and Road Safety

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Comparing State-of-the-Art and Emerging Augmented Reality Interfaces for Autonomous Vehicle-to-Pedestrian Communication

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Prattico, F. Gabriele, Lamberti, Fabrizio, Cannavo, Alberto, Morra, Lia, Montuschi, Paolo·2021·IEEE Transactions on Vehicular Technology

Abstract

Providing pedestrians and other vulnerable road users with a clear indication about a fully autonomous vehicle status and intentions is crucial to make them coexist. In the last few years, a variety of external interfaces have been proposed, leveraging different paradigms and technologies including vehicle-mounted devices (like LED panels), short-range on-road projections, and road infrastructure interfaces (e.g., special asphalts with embedded displays). These designs were experimented in different settings, using mockups, specially prepared vehicles, or virtual environments, with heterogeneous evaluation metrics. Promising interfaces based on Augmented Reality (AR) have been proposed too, but their usability and effectiveness have not been tested yet. This paper aims to complement such body of literature by presenting a comparison of state-of-the-art interfaces and new designs under common conditions. To this aim, an immersive Virtual Reality-based simulation was developed, recreating a well-known scenario represented by pedestrians crossing in urban environments under non-regulated conditions. A user study was then performed to investigate the various dimensions of vehicle-to-pedestrian interaction leveraging objective and subjective metrics. Even though no interface clearly stood out over all the considered dimensions, one of the AR designs achieved state-of-the-art results in terms of safety and trust, at the cost of higher cognitive effort and lower intuitiveness compared to LED panels showing anthropomorphic features. Together with rankings on the various dimensions, indications about advantages and drawbacks of the various alternatives that emerged from this study could provide important information for next developments in the field.

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Crossref · 10.1109/tvt.2021.3054312

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Research works printed but not linked: 31

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Metadata

Authors
Prattico, F. G., Lamberti, F., Cannavo, A., Morra, L., & Montuschi, P.
Affiliations
Politecnico di Torino (IT)
Venue
IEEE Transactions on Vehicular Technology
Published
2021-02
Volume
70
Issue
2
Pages
1157-1168
ISSN
  • 0018-9545 (ISSN-L)
  • 1939-9359
OpenAlex
W3122940095
Cited by
59
References
5
Citations by year
2026: 6 · 2025: 11 · 2024: 17 · 2023: 14 · 2022: 7 · 2021: 4
FWCI
10.29
Type
journal article
Language
en
Open access
Locations
  • IEEE Transactions on Vehicular Technology (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • PORTO@Iris (submittedVersion, other-oa)
  • arXiv (Cornell University)
Funders
VR@POLITO initiative
Topics
  • Social Sciences › Human Factors and Ergonomics › Human-Automation Interaction and Safety
  • Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
  • Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Traffic and Road Safety
Keywords
augmented reality interfaces, autonomous vehicles, vehicle-to-pedestrian communication, pedestrian safety, vulnerable road users, LED panels, virtual reality simulation, user study, trust in autonomous vehicles, cognitive effort, intuitiveness

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