How to foster perceived partner responsiveness: High-quality listening is key
Abstract
Social psychologists have a longstanding interest in the mechanisms responsible for the beneficial effects of positive social connections. This article reviews and integrates two emerging but to this point disparate lines of work that focus on these mechanisms: high-quality listening and perceived partner responsiveness. We also review research investigating the downstream consequences of high-quality listening and perceived partner responsiveness: the how and why of understanding the process by which these downstream benefits are obtained. High-quality listening and perceived partner responsiveness, though not isomorphic, are related constructs in that they both incorporate several key interpersonal processes, such as understanding, positive regard, and expressions of caring for another person. We develop a theoretical model for representing how listening embodies one form of interactive behavior that can promote (or hinder) perceived partner responsiveness and its downstream affective, cognitive, and behavioral effects. Finally, we discuss our model’s implications for various social-psychological domains, such as social cognition, self-evaluation, constructive disagreements, and interpersonal relationships.
Harmonizing hearts: High-quality listening and Kama Muta among listeners and speakers.
Dvori Saluk, Della Janam, Guy Itzchakov, Kenneth G DeMarree, Angelia Venezia
Listening
Kama Muta, a relatively new construct, is an emotion of social connection that describes the feeling of being moved to love through five key dimensions. Despite the growing body of research on the beneficial outcomes of Kama Muta, little is known about its antecedents. To fill this gap, this research focuses on the emergence of Kama Muta during social interactions by specifically examining what triggers this emotion in conversations. The theory on Kama Muta suggests it emerges in response to sudden relationship intensification. We propose that, in conversation, this intensification is most likely triggered by high-quality listening. We examined whether high-quality listening, characterized by undivided attention, understanding, acceptance, nonjudgment, and positive intentions, is associated with Kama Muta for both speakers and listeners. Data were collected across three studies (total N = 1,126), employing scenarios (Study 1), recall (Study 2), and live online conversations conducted via Zoom (Study 3). We found general support for our hypotheses. Specifically, both speakers (Studies 1–3) and listeners (Studies 2–3) experiencing high-quality listening reported greater Kama Muta compared to those exposed to lower quality listening. The consistency of these results varied across different dimensions of Kama Muta. This work offers novel insights into a previously unexplored social behavior that can act as an antecedent of Kama Muta and contributes to the listening literature, which has predominantly focused on the effects on speakers. We discuss the theoretical and practical implications of these findings. (PsycInfo Database Record (c) 2026 APA, all rights reserved)
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Attitude strength as a novel predictor of willful ignorance
Guy Itzchakov, Geoff Haddock
Organizational Behavior and Social Psychology
Willful ignorance is a pervasive phenomenon with significant consequences for decision-making, belief maintenance, and social polarization. While past research has identified various motivational and contextual factors underlying this behavior, less attention has been paid to attitude characteristics that shape the likelihood of engaging in willful ignorance. Addressing this gap, this paper introduces attitude strength as a critical and heretofore unexplored psychological factor that should affect when and why individuals engage in willful ignorance. We argue that strong attitudes, such as those held with certainty, are highly accessible, or are perceived as morally relevant, are particularly likely to elicit willful ignorance. Drawing on cognitive dissonance theory and motivated reasoning, we synthesize findings across domains, from political partisanship to responses to misinformation and AI-mediated communication.
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