Smart City Gnosys
Smart city article details
| Title | Building Trust In Av-To-Pedestrian Interaction: Exploring The Influence Of Communication Modality Through A Virtual Reality Study |
|---|---|
| ID_Doc | 13114 |
| Authors | Yassien A.; Hammouda S.; Sharaf N.; Abdennadher S. |
| Year | 2023 |
| Published | 2023 2nd International Conference on Smart Cities 4.0, Smart Cities 4.0 2023 |
| DOI | http://dx.doi.org/10.1109/SmartCities4.056956.2023.10525935 |
| Abstract | The rise of self-driving cars (SDCs) has sparked concerns about the safety of vulnerable road users, such as pedestrians. While autonomous vehicles (AVs) have the potential to reduce accidents caused by human error, one major challenge lies in accurately detecting and understanding pedestrians' intentions' especially in unprecedented events such as, detecting a pedestrian on a high-way. Additionally, pedestrians often struggle to anticipate AV behavior or effectively communicate with them. To address these issues, this study aims to identify the expedient communication modality to be used by AVs to communicate their intent to pedestrians. To this end, we developed a virtual reality (VR) simulation of a virtual high-way. In our VR simulation, we developed (1) a virtual AV that is trained using object detection model that utilizes posture analysis to accurately detect pedes-trians' intentions, and (2) two different communication methods (visual and verbal) between AVs and pedestrians. To achieve our aim, we conducted a user study (N = 24) to investigate the effect of four different communication modalities on user's trust of AVs. Our results showed that pedestrians expressed more trust toward AVs that communicate their intentions irrespective of the adopted modality, and preferred that AVs use a combination of visual and verbal modalities. We believe that our findings contribute to developing more effective Pedestrian-AV communication systems. We envision that our work will be a step toward integrating AVs in future smart cities. © 2023 IEEE. |
| Author Keywords | AV Intent Communication; Pedes-trian Intent Recognition; Self-Driving Cars; Trust; VR Simulations |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
22710  | 0.913 | Yassien A.; Algokhy N.; Sharaf N.; Abdennadher S. | Embracing Autonomy: Virtual Reality To Foster Trust In Self-Driving Cars | 2023 2nd International Conference on Smart Cities 4.0, Smart Cities 4.0 2023 (2023) |
| 34724 | 0.887 | Kalda K.; Pizzagalli S.-L.; Soe R.-M.; Sell R.; Bellone M. | Language Of Driving For Autonomous Vehicles | Applied Sciences (Switzerland), 12, 11 (2022) |
| 60676 | 0.882 | Costa J.F.; Jacob J.; Rubio T.; Silva D.; Cardoso H.L.; Ferreira S.; Rodrigues R.; Oliveira E.; Rossetti R.J.F. | Using Virtual Reality Environments To Predict Pedestrian Behaviour | 5th IEEE International Smart Cities Conference, ISC2 2019 (2019) |
| 54385 | 0.861 | Holländer K.; Hoggenmüller M.; Gruber R.; Völkel S.T.; Butz A. | Take It To The Curb: Scalable Communication Between Autonomous Cars And Vulnerable Road Users Through Curbstone Displays | Frontiers in Computer Science, 4 (2022) |
| 11229 | 0.858 | Shammut M.; Imran M.; Hasan S.F. | Automated Mobilities And Society: Why Do Social Meanings Matter? | Cities, 132 (2023) |
| 11475 | 0.851 | Zajc I.; Sernec R.; Lenart G.; Pucihar A. | Autonomous Mobility And User Perception: A Case Of City As A Lab In Slovenia | 2020 43rd International Convention on Information, Communication and Electronic Technology, MIPRO 2020 - Proceedings (2020) |