Drones in Wonderland – Disentangling Collocated Interaction Using Radical Form

Cauchard, Jessica R.; Gover, Woody; Chen, William; Cartwright, Stephen; Sharlin, Ehud

doi:10.1109/lra.2021.3103653

Cited by 11 publications

(5 citation statements)

References 46 publications

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“…target population more representatively and reduce the difficulty of replication" [14]. IVEs have already been used successfully for human-human [14,40,48,61] and humanrobot proxemic studies [62], and more recently to test innovative drones' appearance [16,43]. It is safe and reproducible and Wojciechowska et al have classified VR as the second-best method in terms of realism behind the collocated flight [66].…”

Section: Vr As a Methodological Toolmentioning

confidence: 99%

Co-existing With a Drone: Using Virtual Reality to Investigate the Effect of the Drone’s Height and Cover Story on Proxemic Behaviours

Bretin

Cross

Khamis

2022

CHI Conference on Human Factors in Computing Systems Extended Abstracts

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Section: Vr As a Methodological Toolmentioning

confidence: 99%

Co-existing With a Drone: Using Virtual Reality to Investigate the Effect of the Drone’s Height and Cover Story on Proxemic Behaviours

Bretin

Cross

Khamis

2022

CHI Conference on Human Factors in Computing Systems Extended Abstracts

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“…Anthropomorphism, Zoomorphism), and Machine-likeness. The term AnZoMa was first described proposing "a spectrum where Anthropomorphism and Zoomorphism are on one side and Machine-likeness is on the other" and that peoples' experience and expectation "will be affected by the position of the drone on the AnZoMa spectrum" [43]. Yet, since prior evidence indicates that a same drone can be perceived as both anthropomorphized and zoomorphized [30], we chose to differentiate them in the AnZoMa spectrum.…”

Section: Anzoma Instrument Developmentmentioning

confidence: 99%

Anthropomorphism and Affective Perception: Dimensions, Measurements, and Interdependencies in Aerial Robotics

Herdel,

Kuzminykh,

Parmet

et al. 2024

IEEE Trans. Affective Comput.

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Assigning lifelike qualities to robotic agents (Anthropomorphism) is associated with complex affective interpretations of their behavior. These anthropomorphized perceptions are traditionally elicited through robots' designs. Yet, aerial robots (or drones) present a special case due to their -traditionally -non-anthropomorphic design, and prior research shows conflicting evidence on their perception as either person-like, animal-like, or machine-like. In this work, we explore how people perceive drones in a cross-dimensional space between these three dimensions by varying the affective state presented on the drone. To capture these perceptions, we developed a novel measurement instrument AnZoMa. We describe the design, use, and deployment of the instrument in an online study (N =98). The study results suggest that different drone emotions triggered people to attribute various characteristics to the drone (e.g., interaction metaphors, traits, and features) and variations in acceptability of drone affective states. These results demonstrate the interdependencies between affective perceptions and anthropomorphism of drones. We conclude by discussing the necessity to integrate cross-dimensional perception of anthropomorphism in human-drone interaction and affective computing. This work contributes a novel tool to measure the dimensions and gravity of anthropomorphism and insights into interdependencies between different affective states displayed on drones and their anthropomorphized perception.

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“…The substantial growth in drones in recent years 1 does not lead to a clear direction in which application domains these drone swarms are needed and what interactive modalities are required with them.…”

Section: Study Design and Scoping Reviewmentioning

confidence: 99%

“…Interacting with drone swarms is becoming fascinating for many people, but is still futuristic for many fields of scientific study [1]. However, the human-drone swarm interaction is made possible by the large amount of work done by researchers and practitioners in this field.…”

Section: Introductionmentioning

confidence: 99%

Opportunities and Challenges in Human-Swarm Interaction: Systematic Review and Research Implications

Şiean¹,

Gradinaru²,

Gherman³

et al. 2023

IJACSA

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We conducted a Systematic Literature Review on scientific papers that examined the interaction between operators and drone swarms based on the use of a command and control center. We present the results of a meta-analysis of nine scientific papers published in the ACM DL and IEEE Xplore databases. Our findings show that research on human-drone swarm interaction shows a disproportionate interest in hand gestures compared to other input modalities for drone swarm control. Furthermore, all articles reviewed exclusively explored gestures and the size of the swarm used in the studies was limited, with a median of 3.0 and an average of 3.8 drones per study. We compiled an inventory of interaction modalities, recognition techniques, and application types from the scientific literature, which is presented in this paper. On the basis of our findings, we propose four areas for future research that can guide scientific investigations and practical developments in this field.

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Drones in Wonderland – Disentangling Collocated Interaction Using Radical Form

Cited by 11 publications

References 46 publications

Co-existing With a Drone: Using Virtual Reality to Investigate the Effect of the Drone’s Height and Cover Story on Proxemic Behaviours

Co-existing With a Drone: Using Virtual Reality to Investigate the Effect of the Drone’s Height and Cover Story on Proxemic Behaviours

Anthropomorphism and Affective Perception: Dimensions, Measurements, and Interdependencies in Aerial Robotics

Opportunities and Challenges in Human-Swarm Interaction: Systematic Review and Research Implications

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