Exploring the connecting potential of AI: Integrating human interpersonal listening and parasocial support into human-computer interactions
Abstract
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.
A Possible Dark Side of Listening? Teachers Listening to Pupils Can Increase Burnout
Eli Vinokur, Guy Itzchakov and Avinoam Yomtovian
Listening
A growing body of the literature on interpersonal listening has revealed numerous positive outcomes in the workplace. For example, employees wholisten well are perceived as leaders, perform better at work, gain trust, and succeed in negotiations, among other benefits. However, there is a gap in the literature regarding the potential negative consequences of listening in the workplace, especially when it is effortful and challenging. This study explored the potential relationship between teachers listening to their pupils and burnout. Conducted in 2024, this field study involved 106 middle and high school teachers from Israel. We used multiple regression analysis to control for well-known predictors of job burnout: motivation, job satisfaction, and competence. The results indicated that teachers’ perception of their listening quality significantly and positively predicted job burnout, even whenaccounting for these variables as well as seniority and school-type; 0.24 ≤ βs ≤ 0.36. This study highlights the potential negative consequences of workplace listening and contributes to the less explored aspect of listening in the literature with important implications for work-related outcomes.
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A Meta‑analytic Systematic Review and Theory of the Efects of Perceived Listening on Work Outcomes
Avraham N. Kluger · Michal Lehmann · Herman Aguinis · Guy Itzchakov · Galit Gordoni · Jetmir Zyberaj · Cafer Bakaç
Listening
The quality of listening in interpersonal contexts was hypothesized to improve a variety of work outcomes. However, research
of this general hypothesis is dispersed across multiple disciplines and mostly atheoretical. We propose that perceived listening improves job performance through its efects on afect, cognition, and relationship quality. To test our theory, we
conducted a registered systematic review and multiple meta-analyses, using three-level meta-analysis models, based on 664
efect sizes and 400,020 observations. Our results suggest a strong positive correlation between perceived listening and work
outcomes, r = .39, 95%CI=[.36, .43], 휌 = .44, with the efect on relationship quality, r =.51, being stronger than the efect
on performance, r =.36. These fndings partially support our theory, indicating that perceived listening may enhance job
performance by improving relationship quality. However, 75% of the literature relied on self-reports raising concerns about
discriminant validity. Despite this limitation, removing data solely based on self-reports still produced substantial estimates
of the association between listening and work outcomes (e.g., listening and job performance, r = .21, 95%CI=[.13, .29], 휌
= .23). Our meta-analyses suggest further research into (a) the relationship between listening and job knowledge, (b) measures assessing poor listening behaviors, (c) the incremental validity of listening in predicting listeners’ and speakers’ job
performance, and (d) listening as a means to improve relationships at work.
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