From Goals to Actions: Designing Context-aware LLM Chatbots for New Year's Resolutions

DOI

When pursuing new goals, people often struggle to determine what actions to take. Large-language-model (LLM) chatbots can provide information and interactivity, and combining them with context awareness could enhance the relevance and proactivity of action recommendations. However, there is a gap in understanding the role that such technologies can play in taking a holistic view of the user's multiple goals, complex contexts, and constraints over time. We developed a technology probe of a personalized context-aware LLM chatbot and deployed it with 14 participants for 2-4 weeks for their 2024 New Year's resolutions. We observed users achieve a high adoption rate of actions and greater success in the pursuit of goals in the first week, as well as the rapidly evolving user needs over time. We discuss how to best leverage context-awareness for AI agent design, and the novel roles that AI could adopt for an ecosystem of services and agents.