  As a recent development, task-oriented dialogues (TODs) have been enriched
with chitchat in an effort to make dialogues more diverse and engaging. This
enhancement is particularly valuable as TODs are often confined to narrow
domains, making the mitigation of repetitive and predictable responses a
significant challenge. This paper presents a comparative analysis of three
chitchat enhancements, aiming to identify the most effective approach in terms
of diversity. Additionally, we quantify the divergence between the added
chitchat, the original task-oriented language, and chitchat typically found in
chitchat datasets, highlighting the top 20 divergent keywords for each
comparison. Our findings drive a discussion on future enhancements for
augmenting TODs, emphasizing the importance of grounding dialogues beyond the
task to achieve more diverse and natural exchanges.
