Communicating for workplace connection: A longitudinal study of the outcomes of listening training on teachers' autonomy, psychological safety, and relational climate
Abstract
Training teachers to listen may enable them to experience increasingly attentive and open peer relationships at work. In the present research, we examined the outcomes of a year-long listening training on school teachers' listening abilities and its downstream consequences on their relational climate, autonomy, and psychological safety. Teachers in two elementary schools engaged in a similar listening training program throughout the entire school year. The measures included indicators of a supportive relational climate that are known to be important to teacher well-being, namely, autonomy, psychological safety, and relational energy. Results of growth curve modeling showed linear increases in all three outcomes, such that more listening training corresponded to a more positive relational climate. Specifically, the teachers reported increasingly higher quality listening from their group member teachers, felt more autonomy satisfied, psychologically safe, and relationally energetic. Furthermore, latent growth curve modeling indicated that the teachers' listening perception was positively and significantly associated with all three outcomes. We concluded that listening training is associated with teachers perceiving higher quality listening from their peers and, therefore, feeling more autonomy-satisfied, psychologically safe, and relationally energetic and discussing theoretical and practical implications.
Avoiding harm, benefits of interpersonal listening, and social equilibrium adjustment: An applied psychology approach to side effects of organizational interventions
Guy Itzchakov, Justin B. Keeler, Walter J. Sowden, Walter Slipetz, and Kent S. Faught
Listening
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.
Keep reading
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.
Keep reading