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 language | English |
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Pages (from-to) | 425-432 |
Number of pages | 8 |
Journal | Journal of Advanced Computational Intelligence and Intelligent Informatics |
Volume | 17 |
Issue number | 3 |
DOIs | |
Publication status | Published - 2013 May |
Keywords
- Activeness
- Prediction
- Reaction Time
- Sense of agency