The Unintentional Nonconformist: Habits Promote Resistance to Social influence
Abstract
This research tests a novel source of resistance to social influence—the automatic repetition of habit. In three experiments,
participants with strong habits failed to align their behavior with others. Specifically, participants with strong habits to drink
water in a dining hall or snack while working did not mimic others’ drinking or eating, whereas those with weak habits
conformed. Similarly, participants with strong habits did not shift expectations that they would act in line with descriptive
norms, whereas those with weak habits reported more normative behavioral expectations. This habit resistance was not
due to a failure to perceive influence: Both strong and weak habit participants’ recalled others’ behavior accurately, and it
was readily accessible. Furthermore, strong habit participants shifted their normative beliefs but not behavior in line with
descriptive norms. Thus, habits create behavioral resistance despite people’s recognition and acceptance of social influence.
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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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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