MindShift: Leveraging Large Language Models for Mental-States-Based Problematic Smartphone Use Intervention

arXiv:2309.16639v2 Announce Type: replace
Abstract: Problematic smartphone use negatively affects physical and mental health. Despite the wide range of prior research, existing persuasive techniques are not flexible enough to provide dynamic persuasion content based on users' physical contexts and mental states. We first conducted a Wizard-of-Oz study (N=12) and an interview study (N=10) to summarize the mental states behind problematic smartphone use: boredom, stress, and inertia. This informs our design of four persuasion strategies: understanding, comforting, evoking, and scaffolding habits. …

abstract arxiv cs.ai cs.cl cs.hc dynamic health language language models large language large language models mental health persuasion prior research smartphone study type wizard