Abstract: The present study refers to the approach of widening the criterion space for occupational success. In the modern working world, success is more than task performance. Subjective measures like well-being play an important role contributing to job performance. By examining how self-efficacy and the need for autonomy relate to subjective measures of occupational success, we try to display relevant antecedents that could predict successful behavior in accordance with organizational goals and goals set by the individual. We assume that self-efficacy is a stable individual difference that could impact well-being, especially when the individual expresses the need to behave autonomously. In our study, data were gathered from a simulated assessment center training with prospective university graduates. Data shows that the satisfaction of needs predicts subjective well-being, and that subjective well-being has an impact on how successful an individual is perceived. The results suggest that person-related variables can affect job performance indirectly. Therefore, they could play an important role in personnel selection and development. Keywords: self-efficacy, basic psychological needs, need for autonomy, subjective career success.

Abstract: Physical inactivity is a major public health concern among Generation Z, with fewer than 20% meeting recommended physical activity (PA) guidelines. Digital Health Interventions (DHIs), such as PA apps, offer potential for sustained behavior change, yet user engagement remains low. This study examines how combining Persuasive System Design (PSD) principles and Behavior Change Techniques (BCTs) can design social features in PA apps that foster relatedness among Generation Z. It explores how these features are perceived across different motivational profiles to promote behavior change and motivation internalization. A three-phase approach was adopted and included: (1) a literature review to develop user archetypes based on Generation Z’s behaviors and motivations; (2) a co-creation workshop with designers using these archetypes to design social app features integrating PSD principles and BCTs; and (3) a mixed-method evaluation with Generation Z participants, analyzing the features’ persuasiveness and potential for fostering relatedness. We gathered feedback from 150 participants via an online questionnaire. Insights from the first two phases revealed that while PSD principles and BCTs were useful for creating social features in PA apps, designers struggled to establish a clear mental model linking relatedness to social mechanisms of the two frameworks, leading to adaptations during storyboard creation. The third phase highlighted that face-to-face contact, especially with friends, appealed to all user groups. Cooperation and social learning also showed potential for fostering relatedness and motivation. Externally regulated users were prone to ego-involvement through recognition and comparison, while intrinsically motivated individuals resisted social cues hinting at external validation, aligning with their autonomous motivation. This research advances Human-Computer Interaction (HCI) by integrating BCTs and PSD principles with Self-Determination Theory, offering insights for designing PA apps that promote relatedness and intrinsic motivation for sustained behavior change.

Abstract: With the constantly evolving opportunities that Artificial Intelligence (AI) brings to the creative industry, the importance of adequately implementing it in appropriate user scenarios is also increasing. Therefore, a large part of the existing literature deals with the study of the effects that the use of AI has on the completion of creative tasks. This study joins this strand of literature by attempting to investigate a relationship between the degree of influence of AI and individual experiences, such as creativity support, creative self-efficacy, and the feeling of being responsible for the outcome. Our investigation included a mixed-method approach in which we collected quantitative and qualitative data within a workshop in which subjects (N = 18) had to solve creative tasks under different conditions of AI involvement. The results indicate that different levels of AI involvement did not significantly affect overall creativity support, but participants felt more immersed when generating their own ideas before utilizing AI. However, excessive AI engagement led to decreased feelings of responsibility, reduced creative self-efficacy, and a more passive approach, highlighting the need for a balanced integration of AI to maintain a sense of personal agency and foster positive efficacy expectations.

Abstract: The Technology Acceptance Model (TAM) has been widely used to explore technology adoption in the realm of physical activity applications by integrating social science theories to enhance its predictive power. However, conventional models of technology acceptance lack emphasis on the nuanced temporal aspects crucial for technology adoption and sustainable behaviour change. This study seeks to enrich TAM research by integrating a temporal perspective, extending previous literature reviews. It provides a scientific basis for further investigation of mechanisms that facilitate behaviour change throughout the temporal process of adopting physical activity applications. Following PRISMA guidelines, we conducted a comprehensive literature review on studies merging technology acceptance models with behavior change strategies, identifying 19 relevant articles from a pool of 364. Our findings indicate that although existing studies consider temporal aspects, they seldom fully integrate technology acceptance with behavior change techniques. However, theories used for integration included the following groups of behaviour change mechanisms and techniques: 1) self-efficacy, 2) health belief, 3) expectation confirmation, and 4) social aspects. This review enhances understanding of the temporal mechanisms vital for the initial adoption and prolonged use of physical activity apps, contributing to the design of more effective digital health interventions.