While many current use cases for drones involve a remote human operator and/or an environment which is inaccessible to humans, an interesting context, which we term social drones, pertains to scenarios where a drone would operate autonomously, in close proximity to human users or bystanders.
The design and development of social drones involves human factors which may not have been consequential for when a drone is under human control or operating in uninhabited environments, thus requiring further study to inform the present context. Among these is the sense of safety and comfort experienced by a human user or bystander. To this end, we are interested in collecting and analyzing multimodal data (motion capture, eye tracking, and physiological measurements) to contribute an understanding of how human experiences with and responses to social drones are affected by various drone behaviors.
Baytaş, M.A., Çay, D., Zhang, Y., Obaid, M., Yantaç, A.E., & Fjeld, M. (2019). The Design of Social Drones: A Review of Studies on Autonomous Flyers in Inhabited Environments. In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI 2019). [Forthcoming]