Skip to main content

CORRECTION article

Front. Psychol., 16 October 2020
Sec. Human-Media Interaction

Corrigendum: External Human–Machine Interfaces for Autonomous Vehicle-to-Pedestrian Communication: A Review of Empirical Work

  • Humans and Technology Division, Luleå University of Technology, Luleå, Sweden

In the original article, there were five errors.

1. The word “only” was used instead of “mainly.”

A correction has been made to section External Human–Machine Interfaces Evaluated Via Empirical Studies, sub-section Studies Employing Physical Prototypes. The corrected sentence reads as follows:

“While the aforementioned studies have used mainly subjective measures to assess interface effectiveness, Clamann et al. (2017) evaluated a communication interface by using an objective measure, namely decision time, alongside ratings and interviews.”

2. The word “reaction” was used instead of “decision”.

A correction has been made to External Human–Machine Interfaces Evaluated Via Empirical Studies, sub-section VR-Based Studies. The corrected sentence reads as follows:

“All designs proved to be efficient, as evidenced by shorter decision times when compared to the baseline condition (autonomous vehicle without interface).”

3. The word “experimental” was used instead of “behavioral”.

A correction has been made to Discussion section. The corrected sentence reads as follows:

“Interestingly, the most convincing evidence were obtained largely from studies conducted in laboratory settings, namely monitor-based and VR-based studies, that utilized mainly objective measures, like reaction time, duration, and accuracy, in the context of behavioral tasks.”

Additionally, there was an error in Table 1 as published. The second-to-final version of Table 1 was included in the original article. The final version of the table appears below.

TABLE 1
www.frontiersin.org

Table 1. Empirical studies in the field of external human–machine interfaces for autonomous vehicle-to-pedestrian communication.

The authors apologize for these errors and state that they do not change the scientific conclusions of the article in any way. The original article has been updated.

References

Ackermann, C., Beggiato, M., Schubert, S., and Krems, J. F. (2019). An experimental study to investigate design and assessment criteria: what is important for communication between pedestrians and automated vehicles? Appl. Ergon. 75, 272–282. doi: 10.1016/j.apergo.2018.11.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Böckle, M. P., Brenden, A. P., Klingegård, M., Habibovic, A., and Bout, M. (2017). “SAV2P: exploring the impact of an interface for shared automated vehicles on pedestrians' experience,” in Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications Adjunct (New York, NY: ACM), 136–140.

Google Scholar

Chang, C. M., Toda, K., Igarashi, T., Miyata, M., and Kobayashi, Y. (2018). “A video-based study comparing communication modalities between an autonomous car and a pedestrian,” in Adjunct Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (New York, NY: ACM), 104–109.

Google Scholar

Chang, C. M., Toda, K., Sakamoto, D., and Igarashi, T. (2017). “Eyes on a car: an interface design for communication between an autonomous car and a pedestrian,” in Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (New York, NY: ACM), 65–73.

Google Scholar

Charisi, V., Habibovic, A., Andersson, J., Li, J., and Evers, V. (2017). “Children's views on identification and intention communication of self-driving vehicles,” in Proceedings of the 2017 Conference on Interaction Design and Children (New York, NY: ACM), 399–404.

Google Scholar

Clamann, M., Aubert, M., and Cummings, M. L. (2017). “Evaluation of vehicle-to-pedestrian communication displays for autonomous vehicles,” in Proceedings of the 96th Annual Transportation Research Board Meeting (Washington, DC).

Google Scholar

Costa, G. (2017). Designing Framework for Human-Autonomous Vehicle Interaction. Master's thesis, Designing Framework for Human-Autonomous Vehicle Interaction, Minato.

de Clercq, K., Dietrich, A., Núñez Velasco, J. P., de Winter, J., and Happee, R. (2019). External human-machine interfaces on automated vehicles: effects on pedestrian crossing decisions. Hum. Factors 61, 1353–1370. doi: 10.1177/0018720819836343

PubMed Abstract | CrossRef Full Text | Google Scholar

Deb, S., Strawderman, L. J., and Carruth, D. W. (2018). Investigating pedestrian suggestions for external features on fully autonomous vehicles: a virtual reality experiment. Transp. Res. Part F Traffic Psychol. Behav. 59, 135–149. doi: 10.1016/j.trf.2018.08.016

CrossRef Full Text | Google Scholar

Fridman, L., Mehler, B., Xia, L., Yang, Y., Facusse, L. Y., and Reimer, B. (2017). To walk or not to walk: crowdsourced assessment of external vehicle-to-pedestrian displays. arXiv [Preprint].

Google Scholar

Habibovic, A. (2018). Communicating intent of automated vehicles to pedestrians. Front. Psychol. 9:1336. doi: 10.3389/fpsyg.2018.01336

PubMed Abstract | CrossRef Full Text | Google Scholar

Hensch, A. C., Neumann, I., Beggiato, M., Halama, J., and Krems, J. F. (2019). “How should automated vehicles communicate? effects of a light-based communication approach in a wizard-of-oz study,” In Proceedings of the International Conference on Applied Human Factors and Ergonomics. (Cham: Springer), 79–91. doi: 10.1007/978-3-030-20503-4_8

CrossRef Full Text | Google Scholar

Hudson, C. R., Deb, S., Carruth, D. W., McGinley, J., and Frey, D. (2018). “Pedestrian perception of autonomous vehicles with external interacting features,” in Proceedings of the International Conference on Applied Human Factors and Ergonomics. (Cham: Springer), 33–39. doi: 10.1007/978-3-319-94334-3_5

CrossRef Full Text | Google Scholar

Li, Y., Dikmen, M., Hussein, T. G., Wang, Y., and Burns, C. (2018). “To cross or not to cross: urgency-based external warning displays on autonomous vehicles to improve pedestrian crossing safety,” in Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (New York, NY: ACM), 188–197.

Google Scholar

Mahadevan, K., Somanath, S., and Sharlin, E. (2018). “Communicating awareness and intent in autonomous vehicle-pedestrian interaction,” in Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (New York, NY: ACM), 429.

Google Scholar

Othersen, I., Conti-Kufner, A., Dietrich, A., Maruhn, P., and Bengler, K. (2018). “Designing for automated vehicle and pedestrian communication,” in Proceedings of the Perspectives on eHMIs from Older and Younger Persons (Netherlands: HFES Europe Annual Meeting).

Google Scholar

Petzoldt, T., Schleinitz, K., and Banse, R. (2018). Potential safety effects of a frontal brake light for motor vehicles. IEEE Intell. Trans. Sys. 12, 449–453. doi: 10.1049/iet-its.2017.0321

CrossRef Full Text | Google Scholar

Song, Y. E., Lehsing, C., Fuest, T., and Bengler, K. (2018). “External HMIs and their Effect on the Interaction Between Pedestrians and Automated Vehicles,” in Proceedings of the International Conference on Intelligent Human Systems Integration (Cham: Springer), 13–18. doi: 10.1007/978-3-319-73888-8_3

CrossRef Full Text | Google Scholar

Stadler, S., Cornet, H., Theoto, T. N., and Frenkler, F. (2019). “A tool, not a toy: using virtual reality to evaluate the communication between autonomous vehicles and pedestrians,” in Augmented Reality and Virtual Reality, eds M. tom Dieck, T. Jung (Cham: Springer), 203–216. doi: 10.1007/978-3-030-06246-0_15

CrossRef Full Text | Google Scholar

Zhang, J., Vinkhuyzen, E., and Cefkin, M. (2017). “Evaluation of an autonomous vehicle external communication system concept: a survey study,” in Proceedings of the International Conference on Applied Human Factors and Ergonomics. (Cham: Springer), 650–661. doi: 10.1007/978-3-319-60441-1_63

CrossRef Full Text | Google Scholar

Keywords: traffic interaction, human–vehicle interaction, autonomous vehicles, vehicle-to-pedestrian communication, external human–machine interfaces, vulnerable road users

Citation: Rouchitsas A and Alm H (2020) Corrigendum: External Human–Machine Interfaces for Autonomous Vehicle-to-Pedestrian Communication: A Review of Empirical Work. Front. Psychol. 11:575151. doi: 10.3389/fpsyg.2020.575151

Received: 22 June 2020; Accepted: 27 August 2020;
Published: 16 October 2020.

Edited and reviewed by: Anton Nijholt, University of Twente, Netherlands

Copyright © 2020 Rouchitsas and Alm. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Alexandros Rouchitsas, alexandros.rouchitsas@ltu.se

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.