HMI Based on Human Cognitive Feature

In human-machine interaction, automation can bring not only benefits but also unpredictable harms to human cognitive performances. In this study, we made a hypothesis that active behaviors improve cognitive performances in human-machine interaction, and verified the hypothesis through experiments. Experimental results demonstrate that the activeness positively effects on the cognitive performances and suggest that a predictability associated with the activeness has a key role for the improvement of the cognitive performances.

  • Yusuke Tamura, Mami Egawa, Shiro Yano, Takaki Maeda, Motoichiro Kato, and Hajime Asama: Activeness Improves Cognitive Performance in Human-Machine InteractionJournal of Advanced Computational Intelligence and Intelligent Informatics, Vol.17, No.3, pp.425-432, 2013.
  • Yusuke Tamura, Mami Egawa, Shiro Yano, Yoshinori Kumita, Takaki Maeda, Motoichiro Kato and Hajime Asama:Relationship between Sense of Agency and Task Performance in Target Search TaskProceedings of the 2012 ICME International Conference on Complex Medical Engineering, pp.392-396, Kobe, Japan, July 2012. [IEEE Xplore]