Background and aims: The Interaction of Person-Affect-Cognition-Execution (I-PACE) model of behavioral addictions is used relatively often as a scientific framework to specify research hypotheses and to interpret empirical findings in behavioral addiction research. There are, however, controversial interpretations in the literature regarding some specific elements of the model, which may require a more precise definition of specific constructs and processes that are central to the I-PACE model.Methods: This is neither a comprehensive literature review nor a proposal for a new version of the I-PACE model. We aim to provide a selective, critical evaluation of some interpretations of the model and to include recent developments regarding addiction theories and controversial debates.Results: The role of gratification and compensation and therefore positive and negative reinforcement are specified. The concepts of cue-reactivity and craving are considered in the context of desire thinking and permissive beliefs. The relationships between impulsive, habitual, and compulsive behaviors in behavioral addictions are discussed. The effects of general self-control and situation-specific executive functions are elaborated. Punishment (in)sensitivity is discussed as a further important process potentially involved in behavioral addictions. These constructs and processes (through their interactions) are considered in the context of changes over time in the course of addictive behaviors.Conclusion: This viewpoint article aims to provide greater precision and clarity regarding some specific elements of the I-PACE model, which may help stimulate research and theory building and advance clinical care in the behavioral addiction field.

While the use of social media and online-communication applications has become an integral part of everyday life, some individuals suffer from an excessive, uncontrolled use of social media despite experiencing negative consequences. In accordance with neuropsychological models of addiction, we assume the tendency of a social-networks-use disorder to be related to an interplay of predisposing personality traits (e.g., impulsivity), and reductions in cognitive functions (e.g., executive functions, inhibitory control). The current study makes first strides towards examining this interplay. In addition to a newly developed social-networks-specific auditory Go-NoGo paradigm, other neuropsychological paradigms were used. Impulsivity and social-networks-use-disorder symptoms were assessed by standardized questionnaires. The results show that the symptom severity of a social-networks-use disorder is mainly associated with attentional impulsivity. General executive functions and specific inhibitory control of social-networks-related cues have no direct effect on symptom severity. However, moderated regression analyses emphasize that increased symptom severity is associated with higher attentional impulsivity, especially if there are additionally reductions in executive functions or specific inhibitory control. The results complement previous findings and inform future research on social-networks-use disorder. The findings support the applicability of theoretical models of addictive behaviors to the social-networks-use disorder and point to social-networks-related specificities regarding attention-related facets.

Background and aims: With the inclusion of gaming disorder in the ICD-11, diagnostic criteria were introduced for this relatively new disorder. These criteria may also be applied to other potential specific Internet-use disorders, which may be classified in ICD-11 as other disorders due to addictive behaviors, such as online buying-shopping disorder, online pornography-use disorder, social-networks-use disorder, and online gambling disorder. Due to the heterogeneity in existing instruments, we aimed to develop a consistent and economic measure of major types of (potential) specific Internet-use disorders based on ICD-11 criteria for gaming disorder. Methods: The new 11-item Assessment of Criteria for Specific Internet-use Disorders (ACSID-11) measures five behavioral addictions with the same set of items by following the principles of WHO’s ASSIST. The ACSID-11 was administered to active Internet users (N = 985) together with an adaptation of the Ten-Item Internet Gaming Disorder Test (IGDT-10) and screeners for mental health. We used Confirmatory Factor Analyses to analyze the factor structure of ACSID-11. Results: The assumed four-factorial structure was confirmed and was superior to the unidimensional solution. This applied to gaming disorder and to the other specific Internet-use disorders. ACSID-11 scores correlated with IGDT-10 as well as with the measures of psychological distress. Discussion and Conclusions: The ACSID-11 seems to be suitable for the consistent assessment of (potential) specific Internet-use disorders based on ICD-11 diagnostic criteria for gaming disorder. The ACSID-11 may be a useful and economic instrument for studying various behavioral addictions with the same items and improving comparability.

Background: During the development of addictive behaviors, theoretical models assume a shift from experience of gratification being a driver in early stages to experience of compensation which dominates at later stages of addiction development. Initial studies show a trend in this direction; however, this shift has not yet been investigated in clinical samples. We assume experienced gratification to be highest in individuals with risky use (indicating the beginning of the addiction process), and compensation to be highest in individuals with pathological use.Methods: Data from 834 participants from a multi-center study (FOR2974) investigating specific Internet-use disorders (IUDs) including gaming, buying-shopping, pornography use, and social-network use disorders were analyzed about Experience of Gratification (EGS) and Experience of Compensation (ECS), symptom severity, use expectancies, and usage motives. A diagnostic interview based on DSM-5 criteria for gaming disorder was used to classify individuals into either non-problematic, risky, or pathological use group.Results: The groups (non-problematic, risky, pathological) differed significantly regarding EGS and ECS. Individuals with pathological use reported highest experiences of compensation but equally high experienced gratification as individuals with risky use. Effects vary with respect to the specific behavior. All measures correlated significantly. Symptom severity was most strongly associated with facets of compensation.Conclusion: The experience of gratification and compensation appear to be crucial for addiction-like Internet use. Experienced gratification is already high in individuals experiencing first negative consequences and appear to be stable in individuals with pathological use indicating the relevance of both positive and negative reinforcement during the addiction processes.