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This study, anchored in Self-Determination Theory, explores the paradoxical effects of gamification on digital health promotion, focusing on user engagement, physical activity adherence, stress levels and social dynamics.

In a preregistered experimental design, participants interacted with one of three fitness apps: a non-gamified control app, a competition-based gamified app (GameFit) or a self-exploration-based gamified app (ExploreFit). Quantitative data were collected through scales measuring key variables, and qualitative insights were gathered from structured diaries.

Gamification significantly enhanced user engagement and physical activity adherence. However, competition-based gamification also increased stress and negative social dynamics, with gender-specific effects: females experienced higher stress and males encountered more negative social dynamics. These adverse effects were mitigated in the ExploreFit group, suggesting that self-exploration elements in gamification can reduce negative outcomes.

This research offers a comprehensive analysis of the complex interplay between gamification, competition, self-exploration and health outcomes. It provides valuable insights for the design of persuasive technologies, highlighting the need for a balanced approach to gamification that considers both its benefits and potential pitfalls.

This paper aims to study the localization problem for autonomous industrial vehicles in the complex industrial environments. Aiming for practical applications, the pursuit is to build a map-less localization system which can be used in the presence of dynamic obstacles, short-term and long-term environment changes.

The proposed system contains four main modules, including long-term place graph updating, global localization and re-localization, location tracking and pose registration. The first two modules fully exploit the deep-learning based three-dimensional point cloud learning techniques to achieve the map-less global localization task in large-scale environment. The location tracking module implements the particle filter framework with a newly designed perception model to track the vehicle location during movements. Finally, the pose registration module uses visual information to exclude the influence of dynamic obstacles and short-term changes and further introduces point cloud registration network to estimate the accurate vehicle pose.

Comprehensive experiments in real industrial environments demonstrate the effectiveness, robustness and practical applicability of the map-less localization approach.

This paper provides comprehensive experiments in real industrial environments.

The system can be used in the practical automated industrial vehicles for long-term localization tasks. The dynamic objects, short-/long-term environment changes and hardware limitations of industrial vehicles are all considered in the system design. Thus, this work moves a big step toward achieving real implementations of the autonomous localization in practical industrial scenarios.

The aim of this paper is to define which characteristics of a hotel and staff organization determine successful revenue management (RM) implementation in urban hotels.

Multiple linear regression analysis was used to determine whether the characteristics of the hotel and the staff member in charge of RM are explanatory variables for the degree of RM implementation.

The findings show that hotel category, chain affiliation and the existence of qualified full-time staff are the determinants for successful RM implementation. The creation of the revenue manager position alone is not determinant in the degree of RM implementation, but his/her qualification and dedication are fundamental variables.

Given that this survey was confined to the region of Madrid, it would be interesting to carry out similar research nationwide.

This study provides researchers and professionals guidance for the satisfactory implementation and use of RM, tailored to the characteristics of any given establishment. Therefore, this paper states that the creation of a qualified, on-site, full-time revenue manager position is crucial.

To the best of the authors’ knowledge, this is the first paper to conduct a formal statistical analysis of the relationship between hotel characteristics, staff organization and the degree of RM implementation. The greatest contribution of this research is the empirical demonstration that having a qualified full-time staff in charge of RM leads to better results in terms of RM implementation as opposed to not having one, having one part-time or having one at the corporate level. Therefore, this paper states that the creation of the professional revenue manager position within hotels is fundamental. Thus, the reported results provide a significant contribution to the literature related to the characteristics and organization of RM in hotels.