A Possible Dark Side of Listening? Teachers Listening to Pupils Can Increase Burnout

Listening is understood to be a foundational element in practices that rely on effective conversations, but there is a gap in our understanding of what the effects of highquality listening are on both the speaker and listener. This registered report addressed this gap by training one group of participants to listen well as speakers discuss their character strengths, allowing us to isolate the role relational listening plays in strengths-based conversations. Participants were paired and randomly assigned to a highquality listening (experimental) or moderate-quality listening (comparison) condition manipulated through a validated video-based training. High-quality listening predicted a more constructive relational experience; specifically, positivity resonance. Intrapersonal experiences (perceived authenticity and state anxiety) were not affected. Those who engaged in high-quality listening expressed a behavioural intention to continue listening, but condition did not predict a behavioural intention for speakers to continue applying character strengths. This is the first evidence of positivity resonance as a shared outcome between both a speaker and listener when the listener conveys high-quality (as opposed to ‘everyday’) listening. These early findings merit further study with stronger listening manipulations to explore the potential role of listening within interpersonal communication, and inform the applied psychological sciences (counselling, psychotherapy, coaching, organizational, education).

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.