Nurses welcome innovative training and assessment methods to effectively interpret physiological vital signs. The objective is to determine if eye-tracking technology can be used to develop biometrics for automatically predict the performance of nurses whilst they interact with computer-based simulations. 47 nurses were recruited, 36 nursing students (training group) and 11 coronary care nurses (qualified group). Each nurse interpreted five simulated vital signs scenarios whilst 'thinking-aloud'. The participant's visual attention (eye tracking metrics), verbalisation, heart rate, confidence level (1-10, 10=most confident) and cognitive load (NASA-TLX) were recorded during performance. Scenario performances were scored out of ten. Analysis was used to find patterns between the eye tracking metrics and performance score. Multiple linear regression was used to predict performance score using eye tracking metrics. The qualified group scored higher than the training group (6.85±1.5 vs. 4.59±1.61, p=<0.0001) and reported greater confidence (7.51±1.2 vs. 5.79±1.39, p=<0.0001). Regression using a selection of eye tracking metrics was shown to adequately predict score (adjusted R 2 =0.80, p=<0.0001). This shows that eye tracking alone could predict a nurse's performance and can provide insight to the performance of a nurse when interpreting bedside monitors.

No abstract

Q3 5Models are needed to understand the emerging capability to track consumers' movements. Therefore, we examined the use of legal and readily available stimulants that vary in their addictive potential (nicotine, caffeine). One hundred sixty-six participants answered the Kessler Psychological Distress Scale (K10), the Severity of Dependence Scale for nicotine and caffeine, and reported the number of times and locations stimulants were purchased and used. On average, nicotine 10 dependent individuals made their purchases from 2 locations, while caffeine dependent individuals consumed caffeine at 2 locations, but some people exhibited a greater range and intensity of use. Stimulant foraging behavior could be described by power laws, and is exacerbated by dependency. The finding has implications for attempts to control substance use. Q5

No abstract

No abstract