  This work proposes an interactive art installation "Mood spRing" designed to
reflect the mood of the environment through interpretation of language and
tone. Mood spRing consists of an AI program that controls an immersive 3D
animation of the seasons. If the AI program perceives the language and tone of
the users as pleasant, the animation progresses through idealized renditions of
seasons. Otherwise, it slips into unpleasant weather and natural disasters of
the season. To interpret the language and tone of the user interaction, hybrid
state-of-the-art emotion detection methods are applied to the user audio and
text inputs. The emotional states detected separately from tone and language
are fused by a novel approach that aims at minimizing the possible model
disparity across diverse demographic groups.
