Affiliation:
1. Iona College, New Rochelle, NY, USA
2. Muhlenberg College, Allentown, PA, USA
Abstract
A pandemic affects both individuals and groups in various ways, requiring that consequential decisions be satisfactory to multiple constituencies. The ultimate objective is to foster a balanced decision-making environment where, while each constituency might not obtain its optimal outcome, the outcomes are aligned and, in some measure, good enough overall. To determine the value of alternatives, we use the Comfort Decision Model, utilizing attitudinal measures. Sensitivity of the resulting decision is demonstrated and a measure of satisfaction to the implemented alternative is proposed.
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Human-Computer Interaction,Software
Cited by
2 articles.
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