Abstract
Objective: Research so far has investigated the bivariate relationships between psychopathic traits, romantic attachment, and emotion dysregulation. However, no research thus far has examined these concepts in their interrelatedness. The aim of the present study was therefore to shed light on the possible linking mechanisms among these concepts, examining the mediating role of emotion dysregulation in the psychopathic traits-romantic attachment link. Method: The present study was based on an undergraduate (N = 238, M age = 20.36 years) and a community sample (N = 521, M age = 35.27 years) from the Dutch population. Participants were administered self-report measures of psychopathic traits (measured with both the Self-Report Psychopathy Short-Form and the Triarchic Psychopathy Measure), emotion dysregulation (Difficulties in Emotion Regulation Scale – Brief Version) and romantic attachment (Experiences in Close Relationships–Revised). Correlation analyses and mediation analyses using a bootstrapping approach were conducted. Results: Results showed that all the dimensions of psychopathic traits were related to both romantic attachment avoidance and anxiety, and that emotion dysregulation mediated all these associations (with only few exceptions). Except for boldness, all other dimensions of psychopathic traits were related to greater emotion dysregulation and, in turn, to insecure romantic attachment. Conclusions: It is argued that the role of emotion regulation processes deserves more attention for the theoretical and clinical understanding of psychopathic traits and their correlates in the interpersonal domain, such as romantic attachment (in)security. When their interrelationships will be better understood, emotion regulation and attachment could represent relevant targets for intervention with individuals presenting psychopathic traits. Results: Results from a multivariate ANOVA showed that participants had a significantly higher overall rating for the MI (vs confrontational counseling) chatbot. Follow-up discriminant analysis revealed that the better perception of the MI chatbot was mostly explained by the user experience–related outcomes, with cessation-related outcomes playing a lesser role. Exploratory analyses indicated that smokers in both conditions reported increased intention to quit and self-efficacy after the chatbot interaction. Interview findings illustrated several constructs (eg, affective attitude and engagement) explaining people's previous expectations and timely and retrospective experience with the chatbot. Conclusions: The results confirmed that chatbots are a promising tool in motivating smoking cessation and the use of MI can improve user experience. We did not find extra support for MI to motivate cessation and have discussed possible reasons. Smokers expressed both relational and instrumental needs in the quitting process. Implications for future research and practice are discussed.
