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

<table class="fixed-width table-group" id="tab6"><tr><td><table class="table"><colgroup><col style="width:4.89em"/><col style="width:12.54em"/></colgroup><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Cluster #</td><td class="align_center">the number of unique terms</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">1</td><td class="align_center">18</td></tr><tr><td class="align_left">2</td><td class="align_center">20</td></tr><tr><td class="align_left">3</td><td class="align_center">22</td></tr><tr><td class="align_left">4</td><td class="align_center">22</td></tr><tr><td class="align_left">5</td><td class="align_center">28</td></tr><tr><td class="align_left">6</td><td class="align_center">25</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Advances in Human-Computer Interaction

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Table 6

Table 6: How to Understand Belief Drift? Externalization of Variables Considering Different Background Knowledge 