Abstract
Humans realize smooth communication by estimating and predicting the emotions of others and controlling and uttering their own emotions appropriately. The construction of a ``human-like'' agent that appropriately handles the emotional dynamics of self and others is an important issue in HAI. With the progress of large-scale language models in recent years, it has become possible to generate richly expressive sentences based on statistical learning, instead of the conventional stereotyped sentence generation. In addition, in order to realize human-like emotional interaction, it is desirable to refer to the brain when considering its function realization. From the above, by appropriately adding a brain organ model centered on the amygdala, which appropriately captures the dynamics of one's own and others' emotions, to a large-scale language model, it is possible to realize interactions that increase the level of emotional satisfaction of the interlocutor. Will. In this presentation, based on the functions necessary for interaction based on emotion, we will overview the level of emotion model. Next, we summarize the current state of language models and emotion research. Based on this, we propose a roadmap regarding the potential of emotion models in the amygdala function and how to fuse large-scale language models and emotion models in the future.
