Avoiding harm, benefits of interpersonal listening, and social equilibrium adjustment: An applied psychology approach to side effects of organizational interventions

What does it mean to listen, and what enables people to do it well? This study examines the cultural foundations, conditions, expressions, and outcomes of listening through a qualitative analysis of 20 semi-structured interviews with Israeli participants. Using reflexive thematic analysis, we identified five interrelated themes showing how listening is shaped by relational closeness, emotional safety, internal motivation, behavioral expression, and emotional impact. Participants described listening as an intentional and emotionally effortful process, grounded in trust, cultural norms, and personal willingness to remain present. It was experienced not only through visible behaviors but through authentic emotional presence and attunement. Crucially, listening was described as the most vulnerable and most revealing in contexts of conflict, emotional strain, or power asymmetries, where relational and ethical demands intensify. These findings highlight listening as a culturally situated, interpretive practice shaped by collective norms, emotional intensity, and social hierarchy. This study contributes to context-sensitive models of listening with implications for interpersonal relationships, organizational leadership, and intercultural communication, particularly in high-conflict or culturally diverse environments where listening serves as a key relational and managerial resource.

Conversational artificial intelligence (AI) can be harnessed to provide supportive parasocial interactions that rival or even exceed social support from human interactions. High-quality listening in human conversations fosters social connection that heals interpersonal wounds and lessens loneliness. While AI can furnish advice, listening involves the speakers’ perceptions of positive intention, a quality that AI can only simulate. Can such deep-seated support be provided by AI? This research examined two previously siloed areas of knowledge: the healing capabilities of human interpersonal listening, and the potential for AI to produce parasocial experiences of connection. Three experiments (N = 668) addressed this question through manipulating conversational AI listening to test effects on perceived listening, psychological needs, and state loneliness. We show that when prompted, AI could provide high-quality listening, characterized by careful attention and a positive environment for self-expression. More so, AI’s high-quality listening was perceived as better than participants’ average human interaction (Studies 1–3). Receiving high-quality listening predicted greater relatedness (Study 3) and autonomy (Studies 2 and 3) need satisfaction after participants discussed rejection (Study 2–3), loneliness (Study 3), and isolating attitudes (Study 3). Despite this, we did not observe downstream lessening of loneliness typically observed in human interactions, even for those who were high in trait loneliness (Study 3). These findings clearly contrast with research on human interactions and hint at the potential power, but also the limits, of AI in replicating supportive human interactions.