Understanding and Cultivating Effective Listening: A Dialectical Theory of the Tensions between Intuition and Intentional Behavior
Abstract
High-quality listening is a multifaceted social behaviour, and theories and research concerning it are mixed in terms of listening definitions and recommendations. The current study canvassed lay practitioners’ understanding of optimal listening qualities and training, drawing on a wide range of listening training materials (N = 207) sourced from the World-Wide-Web. Thematic analysis results were critically examined to systematically position praxis against our current understanding of listening theories. Findings are presented as a “dialectical listening theory” which posits that at its core, listeners’ behaviours often exist in direct tension with their mindset or intuition. Furthermore, we posit that this tension is amplified when individuals are faced with conversations that conflict with their perspectives or values. Finally, we argue that listeners may need to oscillate between dual-process states of unconscious (intuitive) and conscious (intentional) listening. We conclude that high-quality listening involves direct recognition and strategic management of tensions throughout the listening process.
Perceiving others as responsive lessens prejudice: The mediating roles of intellectual humility and attitude ambivalence
Guy Itzchakov , Harry T. Reis , Kimberly Rios
Responsiveness
Can perceived responsiveness, the extent to which an individual feels understood, validated, and cared for by
close others, reduce prejudiced attitudes? We hypothesized that perceived responsiveness by meaningful other
people would increase recipients’ intellectual humility and attitude ambivalence and that these changes would
reduce prejudice. Five studies (total N = 3362), four of which were preregistered, manipulated perceived
responsiveness by a specific person (Studies 1–3, 5) or measured the effects of perceived responsiveness by the
closest social network of the recipient (Study 4). All studies supported the hypotheses. Specifically, Studies 1 and
2 found that perceived responsiveness increased intellectual humility and attitude ambivalence and reduced
prejudice toward a group from a pre-determined list. Study 3 replicated these findings when participants freely
chose the social group. In Study 4, perceived responsiveness from individuals’ closest social networks predicted
the dependent variables a few days afterward, controlling for positive and negative affect and social desirability.
Finally, in Study 5, we added a condition of positive social interaction to rule out the possibility that the prior
findings were due to recalling an affectively positive experience. The effect of perceived responsiveness on
prejudice reduction (i.e., increased attitude favorability toward the social group) was not moderated by attitude
certainty (Study 2), anxious or avoidant attachment style (Study 2), or attitude morality (Study 3). This work
suggests that fostering perceived responsiveness can serve as a strategy for mitigating prejudice and promoting
more open-minded attitudes.
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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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