  An ethical value-action gap exists when there is a discrepancy between
intentions and actions. This discrepancy may be caused by social and structural
obstacles as well as cognitive biases. Computational models of cognition and
affect can provide insights into the value-action gap and how it can be
reduced. In particular, metacognition ("thinking about thinking") plays an
important role in many of these models as a mechanism for self-regulation and
reasoning about mental attitudes. This paper outlines a roadmap for translating
cognitive-affective models into assistant agents to help make value-aligned
decisions.
