Harmony in Political Discourse? The Impact of High-Quality Listening on Speakers' Perceptions Following Political Conversations
Abstract
Conversations with people who hold opposite partisan attitudes can elicit defensiveness, reinforce extreme attitudes, and undermine relationships with those with opposing views. However, this might not be the case when speakers experience high-quality (attentive, 2 understanding, and non-judgmental) listening from their conversation partners. We hypothesized that high-quality listening will increase speakers’ positive views toward, and their willingness to further interact with, others who hold politically opposed attitudes, and that these effects will be mediated by greater state openness. We conducted three experiments using different modalities to manipulate listening. In Study 1 (N = 379), participants recalled a conversation with an opposing political party member, with listening quality described as high-quality, low-quality, or control. Study 2 (N = 269) used imagined interactions, with participants reading vignettes describing either high-quality listening or a control condition. In Study 3 (preregistered; N = 741), participants watched a video of a listener modeling high-quality or moderate-quality listening and imagined themselves engaging in a similar interaction. Across studies, we found that high-quality listening consistently increased speakers’ state openness to politically opposed others, but did not change political attitudes. We found inconsistent evidence for speakers’ increased willingness to engage in future interactions (meta-analytic effect: 𝑑 = 0.20, p = .015). However, the indirect effect of listening on positive attitudes and willingness for future interactions through increased openness was consistently significant.
Exploring the connecting potential of AI: Integrating human interpersonal listening and parasocial support into human-computer interactions
Netta Weinstein, Guy Itzchakov, Michael R. Maniaci
Attitudes
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.
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Sowing the seeds of love: Cultivating perceptions of culture of companionate love through listening and its effects on organizational outcomes
Guy Itzchakov | Sigal Barsade | Arik Cheshin
Organizational Behavior and Social Psychology
Fostering a culture of companionate love in the workplace
offers numerous benefits for employees, yet the
methods for achieving this remain unclear. We propose
that high-quality listening, characterized by undivided
attention, understanding, and a positive and nonjudgmental
intention toward the speaker, could be a
key facilitator. We hypothesized that such listening
could enhance employees' perceptions of companionate
love. Additionally, we hypothesized that an enhanced
perception of companionate love would increase
employees' subjective well-being, resilience, affective
commitment, and willingness to cooperate at work. To
examine these hypotheses, we conducted four studies.
Study 1 was a preregistered and highly-powered field
study (N = 752) involving employees from various
organizations. Study 2 (N = 37), was a longitudinal
research that included a listening training of 16 hours
for teachers in a single school. Study 3 was a quasi-field
experiment within a risk-management company, with
employees receiving 12 hours of listening education
while a waitlist served as a control group (N = 67).
Study 4 was a quasi-experiment that served as a conceptual
replication and extension of Studies 2 and
3. The study involved listening training for employees
in a global communications company, providing
14 hours of online listening training. An active control
group (N = 60) was included. Across all studies, we
found that feeling listened to by colleagues led to
increased perceptions of companionate love in the
organization, which, in turn, increased employees' subjective
well-being, resilience, affective organizational
commitment, and willingness to collaborate. Theoretical
and practical implications are discussed.
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