Conference Proceedings

Modeling Drone Pointing Movement with FittsLaw

Abstract

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 = 0.993). Based on these results, we propose future experimental work that could contribute to improving drone interfaces.

Information

Book title

Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems

Pages

LBW2519:1--LBW2519:6

Date of issue

2019/05/04

DOI

10.1145/3290607.3312835

Citation

Kaito Yamada, Hiroki Usuba, Homei Miyashita. Modeling Drone Pointing Movement with Fitts’ Law, Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, No.LBW2519, pp.LBW2519:1--LBW2519:6, 2019.

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