Drones with eyes: expressive Human-Drone Interaction

Tim Treurniet; Lang Bai; Simon à Campo; Xintong Wang; Jun Hu; Emilia Barakova

Drones with eyes: expressive Human-Drone Interaction

Tim Treurniet
, Lang Bai
, Simon à Campo
, Xintong Wang
, Jun Hu
, Emilia Barakova

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

Abstract

Drones are showing potential for many applications in which the interaction with humans are needed. In this paper, we demonstrate how affective computing can be applied to achieve a more natural Human-Drone Interaction. We proposed a learning approach for automatic and context-dependant coupling of emotion recognition and expression in a human-drone interaction. The drone performs facial emotion estimation to autonomously produce emotional expression through minimalistic animated eyes, using small displays. Additional testing is needed to further refine the interactions and establish how emotional interactions evolve in longer term interactions.

Original language	English
Title of host publication	Proceedings of the iHDI - International workshop on Human-Drone Interaction
Pages	33-39
Number of pages	7
Publication status	Published - 2019
Event	iHDI - International workshop on Human-Drone Interaction, part of CHI 2019 - Glasgow, United Kingdom Duration: 5 May 2019 → 5 May 2019

Conference

Conference	iHDI - International workshop on Human-Drone Interaction, part of CHI 2019
Country/Territory	United Kingdom
City	Glasgow
Period	5/05/19 → 5/05/19

Bibliographical note

Computer Science [cs]/Human-Computer Interaction [cs.HC]Conference papers

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title = "Drones with eyes: expressive Human-Drone Interaction",

abstract = "Drones are showing potential for many applications in which the interaction with humans are needed. In this paper, we demonstrate how affective computing can be applied to achieve a more natural Human-Drone Interaction. We proposed a learning approach for automatic and context-dependant coupling of emotion recognition and expression in a human-drone interaction. The drone performs facial emotion estimation to autonomously produce emotional expression through minimalistic animated eyes, using small displays. Additional testing is needed to further refine the interactions and establish how emotional interactions evolve in longer term interactions.",

keywords = "Learning driven behaviors Affective Computing Social Robotics UAV Human Drone Interaction",

author = "Tim Treurniet and Lang Bai and \{{\`a} Campo\}, Simon and Xintong Wang and Jun Hu and Emilia Barakova",

note = "Computer Science [cs]/Human-Computer Interaction [cs.HC]Conference papers; iHDI - International workshop on Human-Drone Interaction, part of CHI 2019 ; Conference date: 05-05-2019 Through 05-05-2019",

year = "2019",

language = "English",

pages = "33--39",

booktitle = "Proceedings of the iHDI - International workshop on Human-Drone Interaction",

}

TY - GEN

T1 - Drones with eyes

T2 - iHDI - International workshop on Human-Drone Interaction, part of CHI 2019

AU - Treurniet, Tim

AU - Bai, Lang

AU - à Campo, Simon

AU - Wang, Xintong

AU - Hu, Jun

AU - Barakova, Emilia

N1 - Computer Science [cs]/Human-Computer Interaction [cs.HC]Conference papers

PY - 2019

Y1 - 2019

N2 - Drones are showing potential for many applications in which the interaction with humans are needed. In this paper, we demonstrate how affective computing can be applied to achieve a more natural Human-Drone Interaction. We proposed a learning approach for automatic and context-dependant coupling of emotion recognition and expression in a human-drone interaction. The drone performs facial emotion estimation to autonomously produce emotional expression through minimalistic animated eyes, using small displays. Additional testing is needed to further refine the interactions and establish how emotional interactions evolve in longer term interactions.

AB - Drones are showing potential for many applications in which the interaction with humans are needed. In this paper, we demonstrate how affective computing can be applied to achieve a more natural Human-Drone Interaction. We proposed a learning approach for automatic and context-dependant coupling of emotion recognition and expression in a human-drone interaction. The drone performs facial emotion estimation to autonomously produce emotional expression through minimalistic animated eyes, using small displays. Additional testing is needed to further refine the interactions and establish how emotional interactions evolve in longer term interactions.

KW - Learning driven behaviors Affective Computing Social Robotics UAV Human Drone Interaction

M3 - Conference contribution

SP - 33

EP - 39

BT - Proceedings of the iHDI - International workshop on Human-Drone Interaction

Y2 - 5 May 2019 through 5 May 2019

ER -

Drones with eyes: expressive Human-Drone Interaction

Abstract

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