Smart-speakers such as Amazon Alexa are becoming increasingly popular among the general population. These devices support a wide range of user-initiated tasks. However, their current interaction capabilities are limited to quick turn-takings and short dialogues, which leads to limited user engagement. In this project, we aim to enhance the user engagement and interaction abilities of a smart-speaker by transforming it into an active listener. Specifically, we explored how providing random back-channelling (i.e., verbal continuers including "hm", "uhum", "aha", "yeah") can result in longer interactions and more sustained user engagement. The findings of the study have implications for usability and future design of smart-speakers. We also explored how the enhanced interactions in smart-speakers through back-channeling can be used for self-centered therapy leading to beter emotional and social support.