Activeness improves cognitive performance in human-machine interaction

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

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

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
Volume17
Issue number3
Publication statusPublished - 2013 May

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Experiments
Automation

Keywords

  • Activeness
  • Prediction
  • Reaction Time
  • Sense of agency

ASJC Scopus subject areas

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

Cite this

Activeness improves cognitive performance in human-machine interaction. / Tamura, Yusuke; Egawa, Mami; Yano, Shiro; Maeda, Takaki; Kato, Motoichiro; Asama, Hajime.

In: Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 17, No. 3, 05.2013, p. 425-432.

Research output: Contribution to journalArticle

Tamura, Yusuke ; Egawa, Mami ; Yano, Shiro ; Maeda, Takaki ; Kato, Motoichiro ; Asama, Hajime. / Activeness improves cognitive performance in human-machine interaction. In: Journal of Advanced Computational Intelligence and Intelligent Informatics. 2013 ; Vol. 17, No. 3. pp. 425-432.
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