Modeling Drone Pointing Movement with Fitts' Law

Kaito Yamada, Hiroki Usuba, Homei Miyahita
2019 Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems - CHI '19  
Although numerous studies have focused on interfaces for maneuvering drones, a method for evaluating these interfaces has not been established. A pointing experiment was carried out with a drone in this study. The results indicate that the target distance and target width affect the movement time and error rate while maneuvering. This is consistent with the results of previous pointing studies. Fitts' law was not a good fit (R 2 = 0.672), while the data fit well to a two-part model (R 2 =
more » ... model (R 2 = 0.993). Based on these results, we propose future experimental work that could contribute to improving drone interfaces.
doi:10.1145/3290607.3312835 dblp:conf/chi/YamadaUM19 fatcat:kpcec3aur5hp3br37vtdzykx4u