Computational Psychometrics in Communication and Implications in Decision Making

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td align="left">Variable</td><td align="center">Measures</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td align="left">↑physiological arousal</td><td align="center">↑heart rate/↑skin conductance/↑EEG Beta waves</td></tr><tr><td align="left">↑emotional valence</td><td align="center">↓EMG corrugator/↓EEG Alpha Asymmetry</td></tr><tr><td align="left">↑emotional intensity</td><td align="center">↑pupil dilation</td></tr><tr><td align="left">↑sustained attention</td><td align="center">↓EEG Slow Alpha waves</td></tr><tr><td align="left">↑negative affect and activation</td><td align="center">↑LF/HF/↓NN50/↓RMSSD</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Description of variables and their measures (↑ is for increase; ↓ is for decrease).

Computational and Mathematical Methods in Medicine

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Table 1

Table 1: Computational Psychometrics in Communication and Implications in Decision Making 