Activeness improves cognitive performance in human-machine interaction

Yusuke Tamura, Mami Egawa, Shiro Yano, Takaki Maeda, Motoichiro Kato, Hajime Asama

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


In human-machine interaction, automation brings both advantages and potentially unpredictable disadvantages to human cognitive performance. In this study, we hypothesized that active behavior improves cognitive performance in human-machine interaction, and verified this hypothesis through three experiments. Experiment 1 examined the relationship between activeness and reaction time in a target-search task. Experiments 2 and 3 analyzed the factors that improved cognitive performance. Experimental results demonstrated that activeness positively affects cognitive performance and suggested that predictability associated with activeness plays a key role in improving cognitive performance.

Original languageEnglish
Pages (from-to)425-432
Number of pages8
JournalJournal of Advanced Computational Intelligence and Intelligent Informatics
Issue number3
Publication statusPublished - 2013 May


  • Activeness
  • Prediction
  • Reaction Time
  • Sense of agency

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence


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