Listening

Avoiding harm, benefits of interpersonal listening, and social equilibrium adjustment: An applied psychology approach to side effects of organizational interventions

Abstract

Creating positive change in the direction intended is the goal of organizational interventions. Watts et al. (2021) raise this issue of “side effects,” which include changes that are unintended and often in the opposite direction of the organizational intervention. With our expertise in applied psychology, military psychiatry/neuroscience, organizational behavior, and corporate safety, we argue for three additional factors for consideration: avoiding harm, the benefits of high-quality interpersonal listening, and a discussion of side effects as a natural part of the change process. We offer these as a means of extending the conversation begun by Watts et al.
Gary P. Latham, Guy Itzchakov
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Goal Setting
Four experiments were conducted to determine whether participants’ awareness of the performance criterion on which they were being evaluated results in higher scores on a criterion-valid situational interview (SI) where each question either contains or does not contain a dilemma. In the first experiment, there was no significant difference between those who were or were not informed of the performance criterion that the SI questions predicted. Experiment 2 replicated this finding. In each instance, the SI questions in these two experiments contained a dilemma. In a third experiment, participants were randomly assigned to a 2 (knowledge/no knowledge provided of the criterion) X 2 (SI dilemma/no dilemma) design. Knowledge of the criterion increased interview scores only when the questions did not contain a dilemma. The fourth experiment revealed that including a dilemma in a SI question attenuates the ATIC-SI relationship when participants must identify rather than be informed of the performance criterion that the SI has been developed to assess.
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Netta Weinstein, Guy Itzchakov, Michael R. Maniaci
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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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