To address the growing health awareness of consumers, the food industry designs novel food alternatives, which are similar but not identical to existing foods (e.g., meat-reduced or plant-based burgers). The idea is that consumers can continue to eat their preferred kind of food and still follow a healthy diet. However, we argue that it is too short-sighted to hope that positive similarities to existing products help to increase purchase intentions, because consumers often focus on distinct attributes of new products and neglect the positive attributes shared by existing and novel food alternatives. We tested our hypotheses in six studies in which participants provided or received attributes for classic food products and novel alternatives with substituted ingredients to make them healthier. We observed that consumers perceive the distinguishing attributes between a classic product and its novel, healthier alternative to be predominantly negative, whereas they perceive most shared attributes to be positive. Moreover, we found the predicted neglect of shared attributes in the formation of taste expectations and purchase intentions. In the conclusion, we put forward that the observed evaluation bias can impede the success of novel food alternatives and discuss possible ways to overcome this disadvantage.
Building on research of psychosocial maturity and self-determination theory, we introduced and investigated the concept of digital maturity as a novel view on young people’s digital technology use. We conceptualized digital maturity as the self-determined use of digital technologies supporting psychological growth and well-being while shielding potential threats and considering needs of the social environment. To measure digital maturity, we developed the Digital Maturity Inventory (DIMI). In Study 1 (N = 390, age 12-18), we developed and selected items for the ten dimensions based on an exploratory factor analysis. In Study 2 (N = 558, age 12-18), we examined the scale’s factor structure and internal consistency using confirmatory factor analysis, and tested the convergent, discriminant, and incremental validity. The results confirmed that digital maturity is linked to personality maturity (agreeableness, conscientiousness, negative emotionality), and a hierarchical linear regression analysis revealed the unique influence of digital maturity in predicting problematic mobile device use beyond individual differences in personality, age, and amount of mobile device use.
The automotive industry faces a broad variety of different challenges, especially with regard to HMI development. One significant lever for improvement is optimizing the applied processes during development. In order to identify the exact challenges relevant for HMI development and to find requirements for an ideal HMI development approach, 15 semi-structured expert interviews are conducted. By that, a total of 274 challenges and 101 requirements are identified, consolidated into a set of 17 clusters with 54 sub-clusters. Thereby, a foundation for future process optimization is set.
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