As Artificial Intelligence (AI) technology becomes more and more prevalent, it becomes increasingly important to explore how we as humans interact with AI. The Human-AI Interaction (HAI) sub-field has emerged from the Human-Computer Interaction (HCI) field and aims to examine this very notion. Many interaction patterns have been implemented without fully understanding the changes in required cognition as well as the cognitive science implications of using these alternative interfaces that aim to be more human-like in nature. Prior research suggests that theory of mind representations are crucial to successful and effortless communication, however very little is understood when it comes to how theory of mind representations are established when interacting with AI.

With current research showing that most users do not use mental health apps beyond two weeks, the texting platform offers a more promising alternative. The platform works by offering pushed text messages throughout the day, giving the user the opportunity to engage whenever they're ready. Because it uses SMS, there's no need for data or internet access to interact with the AI bot. After signing up on the MHA website, a text conversation is initiated and the user answers questions. From there, the platform uses machine learning to drive specific engagement interests and learn more about the activities of the user, like the topics they're interested in and the best format for information.

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