Steering Towards Safety: Evaluating Signaling Gestures for an Embodied Driver Guide

Jonna Häkkilä; Siiri Paananen; Jemina Colley; Emma Kirjavainen; Juri Etto

doi:10.1145/3640792.3675703

Steering Towards Safety: Evaluating Signaling Gestures for an Embodied Driver Guide

Jonna Häkkilä, Siiri Paananen, Jemina Colley, Emma Kirjavainen, Juri Etto

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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Abstract

We investigate the integration of embodied agents within the automotive environment to enhance driver guidance. We explore the concept through two user studies. Through a gesture elicitation study using motion capture technology, we first identified a set of whole-body gestures suitable for in-car driver assistance. We then recreated the selected gestures by acting them out and recording them as animations. The selected gestures were then evaluated and mapped to different driving-related scenarios in the second study conducted in a simulated in-car condition. The most promising gestures for an embodied in-car driving assistant were pointing towards a certain direction, showing warning signs by crossing the arms either on the chest or arms on top of the head, and performing waving gestures to alert or to grasp the driver’s attention. By charting the potential signaling gestures, we aim to advance the development of more intuitive in-car guidance systems, ultimately promoting road safety.

Original language	English
Title of host publication	AutomotiveUI '24
Subtitle of host publication	Proceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Place of Publication	New York
Publisher	ACM
Pages	363-373
Number of pages	11
ISBN (Electronic)	979-8-4007-0510-6
DOIs	https://doi.org/10.1145/3640792.3675703
Publication status	Published - 22 Sept 2024
MoEC publication type	A4 Article in a conference publication
Event	International Conference on Automotive User Interfaces and Interactive Vehicular Applications - Stanford, United States Duration: 22 Sept 2024 → 25 Sept 2024

Conference

Conference	International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Country/Territory	United States
City	Stanford
Period	22.09.2024 → 25.09.2024

Keywords

driver assistance systems
motion capture
safety

Field of science

Visual arts and design

Access to research output

10.1145/3640792.3675703Licence: CC BY

Steering Towards SafetyFinal published version, 2.63 MBLicence: CC BY

Citation for this output

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title = "Steering Towards Safety: Evaluating Signaling Gestures for an Embodied Driver Guide",

abstract = "We investigate the integration of embodied agents within the automotive environment to enhance driver guidance. We explore the concept through two user studies. Through a gesture elicitation study using motion capture technology, we first identified a set of whole-body gestures suitable for in-car driver assistance. We then recreated the selected gestures by acting them out and recording them as animations. The selected gestures were then evaluated and mapped to different driving-related scenarios in the second study conducted in a simulated in-car condition. The most promising gestures for an embodied in-car driving assistant were pointing towards a certain direction, showing warning signs by crossing the arms either on the chest or arms on top of the head, and performing waving gestures to alert or to grasp the driver{\textquoteright}s attention. By charting the potential signaling gestures, we aim to advance the development of more intuitive in-car guidance systems, ultimately promoting road safety.",

keywords = "Automotive UIs, in-car interfaces, embodied UIs, cars, driver assistance, gestures, user studies, driver assistance systems, motion capture, safety",

author = "Jonna H{\"a}kkil{\"a} and Siiri Paananen and Jemina Colley and Emma Kirjavainen and Juri Etto",

year = "2024",

month = sep,

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language = "English",

pages = "363--373",

booktitle = "AutomotiveUI '24",

publisher = "ACM ",

address = "Australia",

note = "International Conference on Automotive User Interfaces and Interactive Vehicular Applications ; Conference date: 22-09-2024 Through 25-09-2024",

}

Häkkilä, J , Paananen, S , Colley, J , Kirjavainen, E & Etto, J 2024, Steering Towards Safety: Evaluating Signaling Gestures for an Embodied Driver Guide. in AutomotiveUI '24: Proceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. ACM , New York, pp. 363-373, International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Stanford, California, United States, 22.09.2024. https://doi.org/10.1145/3640792.3675703

Steering Towards Safety: Evaluating Signaling Gestures for an Embodied Driver Guide. / Häkkilä, Jonna ; Paananen, Siiri ; Colley, Jemina et al.
AutomotiveUI '24: Proceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. New York: ACM , 2024. p. 363-373.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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T2 - International Conference on Automotive User Interfaces and Interactive Vehicular Applications

AU - Häkkilä, Jonna

AU - Paananen, Siiri

AU - Colley, Jemina

AU - Kirjavainen, Emma

AU - Etto, Juri

PY - 2024/9/22

Y1 - 2024/9/22

N2 - We investigate the integration of embodied agents within the automotive environment to enhance driver guidance. We explore the concept through two user studies. Through a gesture elicitation study using motion capture technology, we first identified a set of whole-body gestures suitable for in-car driver assistance. We then recreated the selected gestures by acting them out and recording them as animations. The selected gestures were then evaluated and mapped to different driving-related scenarios in the second study conducted in a simulated in-car condition. The most promising gestures for an embodied in-car driving assistant were pointing towards a certain direction, showing warning signs by crossing the arms either on the chest or arms on top of the head, and performing waving gestures to alert or to grasp the driver’s attention. By charting the potential signaling gestures, we aim to advance the development of more intuitive in-car guidance systems, ultimately promoting road safety.

AB - We investigate the integration of embodied agents within the automotive environment to enhance driver guidance. We explore the concept through two user studies. Through a gesture elicitation study using motion capture technology, we first identified a set of whole-body gestures suitable for in-car driver assistance. We then recreated the selected gestures by acting them out and recording them as animations. The selected gestures were then evaluated and mapped to different driving-related scenarios in the second study conducted in a simulated in-car condition. The most promising gestures for an embodied in-car driving assistant were pointing towards a certain direction, showing warning signs by crossing the arms either on the chest or arms on top of the head, and performing waving gestures to alert or to grasp the driver’s attention. By charting the potential signaling gestures, we aim to advance the development of more intuitive in-car guidance systems, ultimately promoting road safety.

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ER -

Steering Towards Safety: Evaluating Signaling Gestures for an Embodied Driver Guide

Abstract

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Keywords

Field of science

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AI.R - Arctic AI & Robotics

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ILO -Innovoidaan Lapissa muotoilun ja taiteen keinoin (kehityshanke)

Citation for this output

Steering Towards Safety: Evaluating Signaling Gestures for an Embodied Driver Guide

Abstract

Conference

Keywords

Field of science

Access to research output

Other files and links

Fingerprint

Projects

ProtoXR: Enhancing innovation capabilities through design intensive prototyping and XR technologies

AI.R - Arctic AI & Robotics

ILO: Innovation in Lapland through Design and Art

ILO -Innovoidaan Lapissa muotoilun ja taiteen keinoin (kehityshanke)

Citation for this output