Towards Understanding Persuasive and Personalized Engagement for Human-AI Reliance

AI assistance can be dynamically adapted to persuade users to build reliance on AI systems.Personalizing AI assistance based on users' latent traits and real-time behavior can also improve human-AI collaborative decision-making.However, there is limited exploration in the literature on personalizing AI assistance to user traits and behavior.Understanding how users engage and interact with personalized explanations from the lens of reducing over-reliance is also underexplored.In this position paper, we present a rationale for personalized and persuasive interventions to build appropriate reliance and enhance user engagement with AI assistance.We examine the current literature and argue that user-centric persuasion and engagement improve analytical system evaluation and foster reliance on AI assistance.Considering persuasive and personalized AI assistance, we posit a study design for user-centered engagement to improve appropriate reliance.