HMI Design for Autonomous Cars: Investigating on Driver’s Attention Distribution.

Weizhe Chen; Wei Liu

doi:10.1007/978-3-030-22666-4_7

HMI Design for Autonomous Cars: Investigating on Driver’s Attention Distribution.

Weizhe Chen, Wei Liu^*

^*Corresponding author for this work

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

This paper provides an overview of the predictable possibilities and opportunities of autonomous human-computer interaction design offered by studying the driver’s attention distribution. We examined attention distribution from novice to advanced drivers and a visual experiment was conducted using stickers and camera to both quantify and qualify attention while participants were in a simulation auto-driving scenario. Thus, an consciousness hot-map could be determined by stickers’ distribution and eye-tracking data, which could contribute to interface design and its structure in autonomous driving vehicles.

Original language	English
Title of host publication	HCI in Mobility, Transport, and Automotive Systems - 1st International Conference, MobiTAS 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings
Editors	Heidi Krömker
Publisher	Springer
Pages	92-102
Number of pages	11
Volume	11596
ISBN (Electronic)	978-3-030-22666-4
ISBN (Print)	978-3-030-22665-7
DOIs	https://doi.org/10.1007/978-3-030-22666-4_7
Publication status	Published - 18 Jun 2019
Event	21ST INTERNATIONAL CONFERENCE ON HUMAN-COMPUTER INTERACTION - Orlando, United States Duration: 26 Jul 2019 → 31 Jul 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11596 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	21ST INTERNATIONAL CONFERENCE ON HUMAN-COMPUTER INTERACTION
Country/Territory	United States
City	Orlando
Period	26/07/19 → 31/07/19

Keywords

Autonomous driving
UX
User interface

Access to Document

10.1007/978-3-030-22666-4_7

Cite this

Chen, W., & Liu, W. (2019). HMI Design for Autonomous Cars: Investigating on Driver’s Attention Distribution. In H. Krömker (Ed.), HCI in Mobility, Transport, and Automotive Systems - 1st International Conference, MobiTAS 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings (Vol. 11596, pp. 92-102). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11596 LNCS). Springer. https://doi.org/10.1007/978-3-030-22666-4_7

Chen, Weizhe ; Liu, Wei. / HMI Design for Autonomous Cars: Investigating on Driver’s Attention Distribution. HCI in Mobility, Transport, and Automotive Systems - 1st International Conference, MobiTAS 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings. editor / Heidi Krömker. Vol. 11596 Springer, 2019. pp. 92-102 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "HMI Design for Autonomous Cars: Investigating on Driver{\textquoteright}s Attention Distribution.",

abstract = "This paper provides an overview of the predictable possibilities and opportunities of autonomous human-computer interaction design offered by studying the driver{\textquoteright}s attention distribution. We examined attention distribution from novice to advanced drivers and a visual experiment was conducted using stickers and camera to both quantify and qualify attention while participants were in a simulation auto-driving scenario. Thus, an consciousness hot-map could be determined by stickers{\textquoteright} distribution and eye-tracking data, which could contribute to interface design and its structure in autonomous driving vehicles.",

keywords = "Autonomous driving, UX, User interface",

author = "Weizhe Chen and Wei Liu",

year = "2019",

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editor = "Heidi Kr{\"o}mker",

booktitle = "HCI in Mobility, Transport, and Automotive Systems - 1st International Conference, MobiTAS 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings",

address = "Germany",

note = "21ST INTERNATIONAL CONFERENCE ON HUMAN-COMPUTER INTERACTION ; Conference date: 26-07-2019 Through 31-07-2019",

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Chen, W & Liu, W 2019, HMI Design for Autonomous Cars: Investigating on Driver’s Attention Distribution. in H Krömker (ed.), HCI in Mobility, Transport, and Automotive Systems - 1st International Conference, MobiTAS 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings. vol. 11596, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11596 LNCS, Springer, pp. 92-102, 21ST INTERNATIONAL CONFERENCE ON HUMAN-COMPUTER INTERACTION, Orlando, United States, 26/07/19. https://doi.org/10.1007/978-3-030-22666-4_7

HMI Design for Autonomous Cars: Investigating on Driver’s Attention Distribution. / Chen, Weizhe; Liu, Wei.
HCI in Mobility, Transport, and Automotive Systems - 1st International Conference, MobiTAS 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings. ed. / Heidi Krömker. Vol. 11596 Springer, 2019. p. 92-102 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11596 LNCS).

Research output: Chapter in Book/Published conference output › Conference publication

TY - GEN

T1 - HMI Design for Autonomous Cars: Investigating on Driver’s Attention Distribution.

AU - Chen, Weizhe

AU - Liu, Wei

PY - 2019/6/18

Y1 - 2019/6/18

N2 - This paper provides an overview of the predictable possibilities and opportunities of autonomous human-computer interaction design offered by studying the driver’s attention distribution. We examined attention distribution from novice to advanced drivers and a visual experiment was conducted using stickers and camera to both quantify and qualify attention while participants were in a simulation auto-driving scenario. Thus, an consciousness hot-map could be determined by stickers’ distribution and eye-tracking data, which could contribute to interface design and its structure in autonomous driving vehicles.

AB - This paper provides an overview of the predictable possibilities and opportunities of autonomous human-computer interaction design offered by studying the driver’s attention distribution. We examined attention distribution from novice to advanced drivers and a visual experiment was conducted using stickers and camera to both quantify and qualify attention while participants were in a simulation auto-driving scenario. Thus, an consciousness hot-map could be determined by stickers’ distribution and eye-tracking data, which could contribute to interface design and its structure in autonomous driving vehicles.

KW - Autonomous driving

KW - UX

KW - User interface

UR - https://link.springer.com/chapter/10.1007%2F978-3-030-22666-4_7

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U2 - 10.1007/978-3-030-22666-4_7

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - HCI in Mobility, Transport, and Automotive Systems - 1st International Conference, MobiTAS 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings

A2 - Krömker, Heidi

PB - Springer

T2 - 21ST INTERNATIONAL CONFERENCE ON HUMAN-COMPUTER INTERACTION

Y2 - 26 July 2019 through 31 July 2019

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Chen W, Liu W. HMI Design for Autonomous Cars: Investigating on Driver’s Attention Distribution. In Krömker H, editor, HCI in Mobility, Transport, and Automotive Systems - 1st International Conference, MobiTAS 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings. Vol. 11596. Springer. 2019. p. 92-102. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-22666-4_7

HMI Design for Autonomous Cars: Investigating on Driver’s Attention Distribution.

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