The paper studies individual psychological characteristics of operators controlling a UAV via a video communication channel. The quadcopter-type UAV was controlled using both a traditional keyboard interface and a myographic interface that generates discrete commands depending on the level of electrical activity of the muscles located on the user’s two hands. The experiment required selecting and flying through three rows of gates, each of which contained gates of three different sizes. The operator’s psychological profile was determined using the Eysenck, Spielberg, Corsi tests, the tapping test, and the leading perceptual modality test. It was determined that the subjects used a number of keyboard control commands significantly more actively, while making a greater absolute number of errors. However, when considering the relative strength of errors, the number of errors was statistically significantly greater for the myographic interface. A relationship was established between the severity of the visual channel of perception and the number of errors, regardless of the type of interface used. In this case, pronounced extroversion led to a greater number of errors when using the myographic interface, without affecting the work with the keyboard. It was revealed that the most significant predictors for the myographic interface are the indicators of working memory and extroversion. However, it was not possible to establish the dominance of predictors when controlling the UAV from the device keyboard.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

An Unmanned Aerial Vehicle Control Model with a Miographic Interface

  • Ya. A. Turovsky,
  • R. A. Tokarev,
  • E. V. Zagorodhyuk,
  • V. A. Tishchenko,
  • L. A. Rybak,
  • D. I. Malyshev

摘要

The paper studies individual psychological characteristics of operators controlling a UAV via a video communication channel. The quadcopter-type UAV was controlled using both a traditional keyboard interface and a myographic interface that generates discrete commands depending on the level of electrical activity of the muscles located on the user’s two hands. The experiment required selecting and flying through three rows of gates, each of which contained gates of three different sizes. The operator’s psychological profile was determined using the Eysenck, Spielberg, Corsi tests, the tapping test, and the leading perceptual modality test. It was determined that the subjects used a number of keyboard control commands significantly more actively, while making a greater absolute number of errors. However, when considering the relative strength of errors, the number of errors was statistically significantly greater for the myographic interface. A relationship was established between the severity of the visual channel of perception and the number of errors, regardless of the type of interface used. In this case, pronounced extroversion led to a greater number of errors when using the myographic interface, without affecting the work with the keyboard. It was revealed that the most significant predictors for the myographic interface are the indicators of working memory and extroversion. However, it was not possible to establish the dominance of predictors when controlling the UAV from the device keyboard.