How to Understand Belief Drift? Externalization of Variables Considering Different Background Knowledge

<table class="fixed-width table-group" id="tab7"><tr><td><table class="table"><colgroup><col style="width:40.29em"/><col style="width:3.78em"/><col style="width:3.44em"/></colgroup><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left"> </td><td class="align_center">Terms</td><td class="align_center">VLs</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Number of unique elements</td><td class="align_center">105</td><td class="align_center">104</td></tr><tr><td class="align_left">Commonality of all clusters</td><td class="align_center">0.190</td><td class="align_center">0.596</td></tr><tr><td class="align_left">Commonality between clusters of Engineering Researcher and Medical Researcher</td><td class="align_center">0.143</td><td class="align_center">0.519</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Commonalities of terms and VLs.</div>

Advances in Human-Computer Interaction

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Table 7

Table 7: How to Understand Belief Drift? Externalization of Variables Considering Different Background Knowledge 