From Content to Strategy: Understanding the Motivations, Processes, and Impacts of AI-Guided Communication
For researchers and practitioners in human-computer interaction and communication, this paper provides early qualitative insights into a new use pattern of generative AI, but the findings are preliminary and based on a small sample.
This study explores the emerging practice of AI-guided communication, where AI helps individuals develop communication strategies rather than just generating content. Through 26 interviews, it finds that users prefer AI for analyzing challenging scenarios in close relationships, reporting benefits like self-reflection, emotional relief, and skill enhancement, though some express concerns about losing uniqueness and mixed views on long-term relational impact.
Artificial intelligence-mediated communication (AI-MC) is conceptualized as applying AI to augment or generate message content (Hancock et al., 2020). However, advances in generative AI have expanded its use beyond generating content to guiding individuals' communication strategies, that is, AI-guided communication, yet theoretical and empirical understandings of this emerging use pattern and its consequences remains limited. To address this gap, this study conducted 26 in-depth interviews with individuals who have used AI to develop their communication strategies. Findings suggest participants strongly preferred using AI to analyze challenging scenarios in close relationships, because it fostered self-reflection, eased emotions, prevented conflict escalation, offered multiple perspectives, and provided a safe, nonjudgmental space for self-disclosure. Participants also stated that AI-guided communication enhanced their empathy and communication skills, though some voiced self-doubt and worried about losing their uniqueness. Views on long-term relational impact were mixed, depending on perceived usefulness of AI for resolving short-term interpersonal challenges.