Exploring the effectiveness of external human-machine interfaces on pedestrians and drivers

Young Woo Kim; Jae Hyun Han; Yong Gu Ji; Seul Chan Lee

doi:10.1145/3409251.3411725

Exploring the effectiveness of external human-machine interfaces on pedestrians and drivers

Young Woo Kim, Jae Hyun Han, Yong Gu Ji, Seul Chan Lee

Department of Industrial Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Citations (Scopus)

Abstract

Previous literature provided the results that eHMIs can be an effective method in interacting with pedestrians. However, there remains a question whether eHMIs are also effective for other road users or not. Therefore, the present study aimed to explore subjective evaluations on eHMIs with two different perspectives, pedestrians and drivers around AVs. Subjective preferences to different types of eHMIs were investigated through an online survey. Nine types of eHMIs were designed based on the combinations of display location and sign format. The results showed that people have different attitudes towards eHMIs depending on their perspectives. The participants as driver evaluated the bottom condition negatively compared to the pedestrian, and the participants as pedestrians felt that icons are not a good option compared to the drivers. The findings of the present study contribute to design of eHMI considering various road users.

Original language	English
Title of host publication	Adjunct Proceedings - 12th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2020
Publisher	Association for Computing Machinery, Inc
Pages	65-68
Number of pages	4
ISBN (Electronic)	9781450380669
DOIs	https://doi.org/10.1145/3409251.3411725
Publication status	Published - 2020 Sept 21
Event	12th ACM International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2020 - Washington, Virtual, United States Duration: 2020 Sept 21 → 2020 Sept 22

Publication series

Name	Adjunct Proceedings - 12th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2020

Conference

Conference	12th ACM International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2020
Country/Territory	United States
City	Washington, Virtual
Period	20/9/21 → 20/9/22

Bibliographical note

Publisher Copyright:
© 2020 Owner/Author.

All Science Journal Classification (ASJC) codes

Human-Computer Interaction
Software
Automotive Engineering

Access to Document

10.1145/3409251.3411725

Cite this

Kim, Y. W., Han, J. H., Ji, Y. G., & Lee, S. C. (2020). Exploring the effectiveness of external human-machine interfaces on pedestrians and drivers. In Adjunct Proceedings - 12th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2020 (pp. 65-68). (Adjunct Proceedings - 12th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2020). Association for Computing Machinery, Inc. https://doi.org/10.1145/3409251.3411725

Kim, Young Woo ; Han, Jae Hyun ; Ji, Yong Gu et al. / Exploring the effectiveness of external human-machine interfaces on pedestrians and drivers. Adjunct Proceedings - 12th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2020. Association for Computing Machinery, Inc, 2020. pp. 65-68 (Adjunct Proceedings - 12th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2020).

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title = "Exploring the effectiveness of external human-machine interfaces on pedestrians and drivers",

abstract = "Previous literature provided the results that eHMIs can be an effective method in interacting with pedestrians. However, there remains a question whether eHMIs are also effective for other road users or not. Therefore, the present study aimed to explore subjective evaluations on eHMIs with two different perspectives, pedestrians and drivers around AVs. Subjective preferences to different types of eHMIs were investigated through an online survey. Nine types of eHMIs were designed based on the combinations of display location and sign format. The results showed that people have different attitudes towards eHMIs depending on their perspectives. The participants as driver evaluated the bottom condition negatively compared to the pedestrian, and the participants as pedestrians felt that icons are not a good option compared to the drivers. The findings of the present study contribute to design of eHMI considering various road users.",

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Kim, YW, Han, JH, Ji, YG & Lee, SC 2020, Exploring the effectiveness of external human-machine interfaces on pedestrians and drivers. in Adjunct Proceedings - 12th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2020. Adjunct Proceedings - 12th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2020, Association for Computing Machinery, Inc, pp. 65-68, 12th ACM International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2020, Washington, Virtual, United States, 20/9/21. https://doi.org/10.1145/3409251.3411725

Exploring the effectiveness of external human-machine interfaces on pedestrians and drivers. / Kim, Young Woo; Han, Jae Hyun; Ji, Yong Gu et al.
Adjunct Proceedings - 12th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2020. Association for Computing Machinery, Inc, 2020. p. 65-68 (Adjunct Proceedings - 12th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - Previous literature provided the results that eHMIs can be an effective method in interacting with pedestrians. However, there remains a question whether eHMIs are also effective for other road users or not. Therefore, the present study aimed to explore subjective evaluations on eHMIs with two different perspectives, pedestrians and drivers around AVs. Subjective preferences to different types of eHMIs were investigated through an online survey. Nine types of eHMIs were designed based on the combinations of display location and sign format. The results showed that people have different attitudes towards eHMIs depending on their perspectives. The participants as driver evaluated the bottom condition negatively compared to the pedestrian, and the participants as pedestrians felt that icons are not a good option compared to the drivers. The findings of the present study contribute to design of eHMI considering various road users.

AB - Previous literature provided the results that eHMIs can be an effective method in interacting with pedestrians. However, there remains a question whether eHMIs are also effective for other road users or not. Therefore, the present study aimed to explore subjective evaluations on eHMIs with two different perspectives, pedestrians and drivers around AVs. Subjective preferences to different types of eHMIs were investigated through an online survey. Nine types of eHMIs were designed based on the combinations of display location and sign format. The results showed that people have different attitudes towards eHMIs depending on their perspectives. The participants as driver evaluated the bottom condition negatively compared to the pedestrian, and the participants as pedestrians felt that icons are not a good option compared to the drivers. The findings of the present study contribute to design of eHMI considering various road users.

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Kim YW, Han JH, Ji YG, Lee SC. Exploring the effectiveness of external human-machine interfaces on pedestrians and drivers. In Adjunct Proceedings - 12th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2020. Association for Computing Machinery, Inc. 2020. p. 65-68. (Adjunct Proceedings - 12th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2020). doi: 10.1145/3409251.3411725

Exploring the effectiveness of external human-machine interfaces on pedestrians and drivers

Abstract

Publication series

Conference

Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

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Cite this