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Human-Computer Interaction Application for Autonomous Vehicles

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (28 February 2023) | Viewed by 7779

Special Issue Editor


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Guest Editor
Institute of Integrated Technology, GIST (Gwangju Institute of Science and Technology), 123 Cheomdangwagi-ro(Oryong-dong), Buk-gu, Gwangju 61005, Korea
Interests: Human-Computer Interaction; human-centered artificial intelligence; automotive user interfaces; human-vehicle interaction; extended reality (VR, AR, MR); user experience
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Special Issue Information

Dear Colleagues,

We are entering a world where passenger vehicles and public transport are reaching higher levels of autonomy (SAE Level 3 or higher) and becoming more prevalent in daily life. As automated driving technology develops, drivers increasingly relinquish driving control to autonomous vehicles and engage more freely in non-driving-related tasks (NDRTs) ranging from working on a laptop to sleeping. Driven by the rapid advancement of artificial intelligence (AI), increased vehicle autonomy means that vehicle operation is no longer the driver’s primary task.

Conventional human–vehicle interaction (HVI) design has been referred to as human–machine interaction from the perspective of car-as-machine. Driver interactions (e.g., manual operation, navigation) with manual vehicles will of course remain, but the paradigm shift of the driver’s role in autonomous vehicles brings about new human-centered research questions: What NDRTs will we want to perform in a fully autonomous vehicle, and how will we want to interact with vehicle systems while performing them? How will traditional interfaces such as radio buttons or climate control knobs be adapted for future vehicles? Most importantly, how should these AI-based systems interact with other objects, people, and vehicles on the road?

This Special Issue explores these questions that deal with human factor issues and HCI (human–computer interaction) applications for autonomous vehicles.

AI advancements will entail new regulatory and safety issues, thereby demanding that future HVI systems be designed from the point of view of human–AI interaction. Consequently, cross-disciplinary research is needed to address issues of driver distraction and human–machine interface design and to develop new sensor-based technologies that enable AI systems to grasp the myriad ways that people interact with their vehicles. This research will enhance the HCI experience in next-generation vehicles.

This Special Issue welcomes all forms of HCI application proposals: research contributions, a proof of concept, state-of-the-art reviews on HCI, UI/UX, and design issues for passenger interfaces and interaction in future AI-infused mobility. The topics include but are not limited to:

  • Human factors and HCI applications for autonomous vehicles;
  • Human–AI interaction design for making future transportation more human-centered;
  • Understanding passenger interactions in automated vehicles—their activities, behaviors, intentions, and cognitive and affective states with sensors;
  • Maneuver- and non-maneuver-based intervention in autonomous vehicles;
  • Opportune moments for proactive intervention of machine intelligence in automated vehicles;
  • Games and infotainment services in a fully autonomous vehicle or shuttle;
  • Digital twins with mixed reality for AI-infused automotive systems;
  • Multimodal sensor fusion for in-vehicle natural user interface (NUI) systems;
  • XAI, virtual agents, personalization, UI/UX designs, and human-centered simulation technology for autonomous vehicles;
  • Autonomous vehicle platforms as an interactive and iterative analytic tool for large-scale areas.
Dr. SeungJun Kim

Guest Editor

Manuscript Submission Information

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Keywords

  • autonomous vehicles
  • Human–Computer Interaction (HCI)
  • human–AI interaction
  • human-centered artificial intelligence
  • automotive user interfaces
  • future mobility

Published Papers (2 papers)

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32 pages, 3724 KiB  
Article
Would You Trust Driverless Service? Formation of Pedestrian’s Trust and Attitude Using Non-Verbal Social Cues
by Suji Choi, Soyeon Kim, Mingi Kwak, Jaewan Park, Subin Park, Dongjoon Kwak, Hyun Woo Lee and Sangwon Lee
Sensors 2022, 22(7), 2809; https://doi.org/10.3390/s22072809 - 6 Apr 2022
Viewed by 2731
Abstract
Despite the widespread application of Autonomous Vehicles (AV) to various services, there has been relatively little research carried out on pedestrian–AV interaction and trust within the context of service provided by AV. This study explores the communication design strategy promoting a pedestrian’s trust [...] Read more.
Despite the widespread application of Autonomous Vehicles (AV) to various services, there has been relatively little research carried out on pedestrian–AV interaction and trust within the context of service provided by AV. This study explores the communication design strategy promoting a pedestrian’s trust and positive attitude to driverless services within the context of pedestrian–AV interaction using non-verbal social cues. An empirical study was conducted with an experimental VR environment to measure participants’ intimacy, trust, and brand attitude toward AV. Further understanding of their social interaction experiences was explored through semi-structured interviews. As a result of the study, the interaction effect of social cues was found, and it was revealed that brand attitude was formed by the direct effects of intimacy and trust as well as the indirect effects of intimacy through trust’s mediation. Furthermore, ‘Conceptual Definition of Space’ was identified to generate differences in the interplay among intimacy, trust, and brand attitude according to social cues. Quantitative and qualitative results were synthesized to discuss implications considering the service context. Practical implications were also addressed suggesting specific design strategies for utilizing the sociality of AV. Full article
(This article belongs to the Special Issue Human-Computer Interaction Application for Autonomous Vehicles)
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Review

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30 pages, 2400 KiB  
Review
External Human–Machine Interfaces for Automated Vehicles in Shared Spaces: A Review of the Human–Computer Interaction Literature
by Sarah Brill, William Payre, Ashim Debnath, Ben Horan and Stewart Birrell
Sensors 2023, 23(9), 4454; https://doi.org/10.3390/s23094454 - 2 May 2023
Cited by 6 | Viewed by 2974
Abstract
Given the rise of automated vehicles from an engineering and technical perspective, there has been increased research interest concerning the Human and Computer Interactions (HCI) between vulnerable road users (VRUs, such as cyclists and pedestrians) and automated vehicles. As with all HCI challenges, [...] Read more.
Given the rise of automated vehicles from an engineering and technical perspective, there has been increased research interest concerning the Human and Computer Interactions (HCI) between vulnerable road users (VRUs, such as cyclists and pedestrians) and automated vehicles. As with all HCI challenges, clear communication and a common understanding—in this application of shared road usage—is critical in order to reduce conflicts and crashes between the VRUs and automated vehicles. In an effort to solve this communication challenge, various external human–machine interface (eHMI) solutions have been developed and tested across the world. This paper presents a timely critical review of the literature on the communication between automated vehicles and VRUs in shared spaces. Recent developments will be explored and studies analyzing their effectiveness will be presented, including the innovative use of Virtual Reality (VR) for user assessments. This paper provides insight into several gaps in the eHMI literature and directions for future research, including the need to further research eHMI effects on cyclists, investigate the negative effects of eHMIs, and address the technical challenges of eHMI implementation. Furthermore, it has been underlined that there is a lack of research into the use of eHMIs in shared spaces, where the communication and interaction needs differ from conventional roads. Full article
(This article belongs to the Special Issue Human-Computer Interaction Application for Autonomous Vehicles)
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