Yermakhan Kassym, Saparkhan Kassymbekov, Kamila Zhumakhanova, A. Sandygulova
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引用次数: 0
Abstract
Drones are continually entering our daily lives by being used in a number of different applications. This creates a natural demand for better interaction ways between humans and drones. One of the possible applications that would benefit from improved interaction is the inspection of smoking in prohibited areas. We propose our own gesture of drone flight that we believe would deliver the message "not to smoke" better than the ready-made built-in gesture. To this end, we conducted a within-subject experiment involving 19 participants, where we evaluated the gestures on a drone operated through the Wizard-of-Oz interaction design. The results demonstrate that the proposed gesture was better at conveying the message compared to the built-in gesture.
期刊介绍：
ACM Transactions on Human-Robot Interaction (THRI) is a prestigious Gold Open Access journal that aspires to lead the field of human-robot interaction as a top-tier, peer-reviewed, interdisciplinary publication. The journal prioritizes articles that significantly contribute to the current state of the art, enhance overall knowledge, have a broad appeal, and are accessible to a diverse audience. Submissions are expected to meet a high scholarly standard, and authors are encouraged to ensure their research is well-presented, advancing the understanding of human-robot interaction, adding cutting-edge or general insights to the field, or challenging current perspectives in this research domain.
THRI warmly invites well-crafted paper submissions from a variety of disciplines, encompassing robotics, computer science, engineering, design, and the behavioral and social sciences. The scholarly articles published in THRI may cover a range of topics such as the nature of human interactions with robots and robotic technologies, methods to enhance or enable novel forms of interaction, and the societal or organizational impacts of these interactions. The editorial team is also keen on receiving proposals for special issues that focus on specific technical challenges or that apply human-robot interaction research to further areas like social computing, consumer behavior, health, and education.
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