Intention Understanding for Human-Aware Mobile Robots: Comparing Cues and the Effect of Demographics

Oskar Palinko; Eduardo Ruiz Ramirez; Norbert Krüger; Leon Bodenhagen

doi:10.1007/978-3-030-94893-1_4

Intention Understanding for Human-Aware Mobile Robots: Comparing Cues and the Effect of Demographics

Oskar Palinko^*, Eduardo Ruiz Ramirez, Norbert Krüger, Leon Bodenhagen

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

Mobile robots are becoming more and more ubiquitous in our everyday living environments. Therefore, it is very important that people can easily interpret what the robot’s intentions are. This is especially important when a robot is driving down a crowded corridor. It is essential for people in its vicinity to understand which way the robot wants to go next. To explore what signals are the best for conveying its intention to turn, we implemented three lighting schemes and tested them out in an online experiment. We found that signals resembling automotive signaling work the best also for logistic mobile robots. We further find that people’s opinion of these signaling methods will be influenced by their demographic background (gender, age).

Original language	English
Title of host publication	Computer Vision, Imaging and Computer Graphics Theory and Applications : 15th International Joint Conference, VISIGRAPP 2020, Revised Selected Papers
Editors	Kadi Bouatouch, A. Augusto de Sousa, Manuela Chessa, Alexis Paljic, Andreas Kerren, Christophe Hurter, Giovanni Maria Farinella, Petia Radeva, Jose Braz
Publisher	Springer Science+Business Media
Publication date	2022
Pages	83-102
ISBN (Print)	9783030948924
ISBN (Electronic)	978-3-030-94893-1
DOIs	https://doi.org/10.1007/978-3-030-94893-1_4
Publication status	Published - 2022
Event	15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2020 - Valletta, Malta Duration: 27. Feb 2020 → 29. Feb 2020

Conference

Conference	15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2020
Country/Territory	Malta
City	Valletta
Period	27/02/2020 → 29/02/2020
Sponsor	Institute for Systems and Technologies of Information, Control and Communication (INSTICC)

Series	Communications in Computer and Information Science
Volume	1474 CCIS
ISSN	1865-0929

Keywords

Human-aware navigation
Human-robot interaction
Mobile robots

Documents & Links

10.1007/978-3-030-94893-1_4

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1 Finished

Health-CAT: Health Care Assisting Technology
Manoonpong, P. (Project participant), Bodenhagen, L. (Coordinator), Juel, W. K. (Project participant), Haarslev, F. (Project participant), Palinko, O. (Project participant), Krüger, N. (Project participant), Kollakidou, A. (Project participant) & Naik, L. (Project participant)
01/02/2017 → 15/11/2020
Project: EU

Cite this

Palinko, O., Ramirez, E. R., Krüger, N., & Bodenhagen, L. (2022). Intention Understanding for Human-Aware Mobile Robots: Comparing Cues and the Effect of Demographics. In K. Bouatouch, A. A. de Sousa, M. Chessa, A. Paljic, A. Kerren, C. Hurter, G. M. Farinella, P. Radeva, & J. Braz (Eds.), Computer Vision, Imaging and Computer Graphics Theory and Applications : 15th International Joint Conference, VISIGRAPP 2020, Revised Selected Papers (pp. 83-102). Springer Science+Business Media. https://doi.org/10.1007/978-3-030-94893-1_4

Palinko, Oskar ; Ramirez, Eduardo Ruiz ; Krüger, Norbert et al. / Intention Understanding for Human-Aware Mobile Robots : Comparing Cues and the Effect of Demographics. Computer Vision, Imaging and Computer Graphics Theory and Applications : 15th International Joint Conference, VISIGRAPP 2020, Revised Selected Papers. editor / Kadi Bouatouch ; A. Augusto de Sousa ; Manuela Chessa ; Alexis Paljic ; Andreas Kerren ; Christophe Hurter ; Giovanni Maria Farinella ; Petia Radeva ; Jose Braz. Springer Science+Business Media, 2022. pp. 83-102 (Communications in Computer and Information Science, Vol. 1474 CCIS).

@inproceedings{22a0ec53369b4bcea9678c40e85da208,

title = "Intention Understanding for Human-Aware Mobile Robots: Comparing Cues and the Effect of Demographics",

abstract = "Mobile robots are becoming more and more ubiquitous in our everyday living environments. Therefore, it is very important that people can easily interpret what the robot{\textquoteright}s intentions are. This is especially important when a robot is driving down a crowded corridor. It is essential for people in its vicinity to understand which way the robot wants to go next. To explore what signals are the best for conveying its intention to turn, we implemented three lighting schemes and tested them out in an online experiment. We found that signals resembling automotive signaling work the best also for logistic mobile robots. We further find that people{\textquoteright}s opinion of these signaling methods will be influenced by their demographic background (gender, age).",

keywords = "Human-aware navigation, Human-robot interaction, Mobile robots",

author = "Oskar Palinko and Ramirez, {Eduardo Ruiz} and Norbert Kr{\"u}ger and Leon Bodenhagen",

note = "Funding Information: Acknowledgements. This work was supported by the project Health-CAT, funded by the European Regional Development Fund. Publisher Copyright: {\textcopyright} 2022, Springer Nature Switzerland AG.; 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2020 ; Conference date: 27-02-2020 Through 29-02-2020",

year = "2022",

doi = "10.1007/978-3-030-94893-1_4",

language = "English",

isbn = "9783030948924",

series = "Communications in Computer and Information Science",

publisher = "Springer Science+Business Media",

pages = "83--102",

editor = "Kadi Bouatouch and {de Sousa}, {A. Augusto} and Manuela Chessa and Alexis Paljic and Andreas Kerren and Christophe Hurter and Farinella, {Giovanni Maria} and Petia Radeva and Jose Braz",

booktitle = "Computer Vision, Imaging and Computer Graphics Theory and Applications",

address = "United States",

}

Palinko, O, Ramirez, ER, Krüger, N & Bodenhagen, L 2022, Intention Understanding for Human-Aware Mobile Robots: Comparing Cues and the Effect of Demographics. in K Bouatouch, AA de Sousa, M Chessa, A Paljic, A Kerren, C Hurter, GM Farinella, P Radeva & J Braz (eds), Computer Vision, Imaging and Computer Graphics Theory and Applications : 15th International Joint Conference, VISIGRAPP 2020, Revised Selected Papers. Springer Science+Business Media, Communications in Computer and Information Science, vol. 1474 CCIS, pp. 83-102, 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2020, Valletta, Malta, 27/02/2020. https://doi.org/10.1007/978-3-030-94893-1_4

Intention Understanding for Human-Aware Mobile Robots: Comparing Cues and the Effect of Demographics. / Palinko, Oskar; Ramirez, Eduardo Ruiz; Krüger, Norbert et al.
Computer Vision, Imaging and Computer Graphics Theory and Applications : 15th International Joint Conference, VISIGRAPP 2020, Revised Selected Papers. ed. / Kadi Bouatouch; A. Augusto de Sousa; Manuela Chessa; Alexis Paljic; Andreas Kerren; Christophe Hurter; Giovanni Maria Farinella; Petia Radeva; Jose Braz. Springer Science+Business Media, 2022. p. 83-102 (Communications in Computer and Information Science, Vol. 1474 CCIS).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Intention Understanding for Human-Aware Mobile Robots

T2 - 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2020

AU - Palinko, Oskar

AU - Ramirez, Eduardo Ruiz

AU - Krüger, Norbert

AU - Bodenhagen, Leon

N1 - Funding Information: Acknowledgements. This work was supported by the project Health-CAT, funded by the European Regional Development Fund. Publisher Copyright: © 2022, Springer Nature Switzerland AG.

PY - 2022

Y1 - 2022

N2 - Mobile robots are becoming more and more ubiquitous in our everyday living environments. Therefore, it is very important that people can easily interpret what the robot’s intentions are. This is especially important when a robot is driving down a crowded corridor. It is essential for people in its vicinity to understand which way the robot wants to go next. To explore what signals are the best for conveying its intention to turn, we implemented three lighting schemes and tested them out in an online experiment. We found that signals resembling automotive signaling work the best also for logistic mobile robots. We further find that people’s opinion of these signaling methods will be influenced by their demographic background (gender, age).

AB - Mobile robots are becoming more and more ubiquitous in our everyday living environments. Therefore, it is very important that people can easily interpret what the robot’s intentions are. This is especially important when a robot is driving down a crowded corridor. It is essential for people in its vicinity to understand which way the robot wants to go next. To explore what signals are the best for conveying its intention to turn, we implemented three lighting schemes and tested them out in an online experiment. We found that signals resembling automotive signaling work the best also for logistic mobile robots. We further find that people’s opinion of these signaling methods will be influenced by their demographic background (gender, age).

KW - Human-aware navigation

KW - Human-robot interaction

KW - Mobile robots

U2 - 10.1007/978-3-030-94893-1_4

DO - 10.1007/978-3-030-94893-1_4

M3 - Article in proceedings

AN - SCOPUS:85124646504

SN - 9783030948924

T3 - Communications in Computer and Information Science

SP - 83

EP - 102

BT - Computer Vision, Imaging and Computer Graphics Theory and Applications

A2 - Bouatouch, Kadi

A2 - de Sousa, A. Augusto

A2 - Chessa, Manuela

A2 - Paljic, Alexis

A2 - Kerren, Andreas

A2 - Hurter, Christophe

A2 - Farinella, Giovanni Maria

A2 - Radeva, Petia

A2 - Braz, Jose

PB - Springer Science+Business Media

Y2 - 27 February 2020 through 29 February 2020

ER -

Palinko O, Ramirez ER, Krüger N , Bodenhagen L. Intention Understanding for Human-Aware Mobile Robots: Comparing Cues and the Effect of Demographics. In Bouatouch K, de Sousa AA, Chessa M, Paljic A, Kerren A, Hurter C, Farinella GM, Radeva P, Braz J, editors, Computer Vision, Imaging and Computer Graphics Theory and Applications : 15th International Joint Conference, VISIGRAPP 2020, Revised Selected Papers. Springer Science+Business Media. 2022. p. 83-102. (Communications in Computer and Information Science, Vol. 1474 CCIS). doi: 10.1007/978-3-030-94893-1_4

Intention Understanding for Human-Aware Mobile Robots: Comparing Cues and the Effect of Demographics

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Health-CAT: Health Care Assisting Technology

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