The Effectiveness of User Models in Reducing Cognitive Load
Final rept. 15 May 1997-31 Dec 2002
HAWAII UNIV AT MANOA HONOLULU
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We strive to improve human performance through the adaptive filtering of information. The research results will help guide the design of future crisis battlefield management interfaces. Our experiments show 1 eye fixations can be used as a measure of cognitive load in simple visual search tasks, 2 hand and finger pressures on a mouse indicate cognitive load in target selection tasks, 3 mouse click signatures can be used for continuous identity verification, 4 nested objects are significantly more difficult to count than adjacent objects, 5 performance decreases significantly with both map complexity and task complexity, 6 up to three static distractors make no difference in map route finding performance, 7 increasing numbers of moving distractors decreases map route finding performance, 8 having one distractor at a time move makes no difference in map route finding performance, 9 judgment of ratios is significantly easier when presented two-dimensionally rather than linearly, 10 training in one graphic data model style does not transfer to other graphic styles.
- Computer Hardware
- Anatomy and Physiology