An array of studies has shown that games can be suitable for marketing communication - but that not all game genres can be expected to be equally successful in generating advertising effects. Since the game task in shooter games requests players to strictly focus on objects that can pose a threat, that game genre seems especially problematic for in-game advertising. Subliminal communication can theoretically be expected to overcome (part) of that problem. Therefore, our experimental study (N = 143) focuses on marketing communication effects of subliminally presented brand logos. We aim to find out (i) whether subliminal marketing communication causes recognition effects and (ii) whether pictorial logos differ from textual logos in the size of the effect they generate. This way we can shine a light on the message processing mechanisms that are foundational to subliminal message effects. The results of our study show that subliminally presented brand logos do have a communicative potential: the recognition effects are significant. Besides, our study indicates that pictorial logos have a greater propensity to subliminally communicate than textual logos.
Objective: To automatically recognize self-acknowledged limitations in clinical research publications to support efforts in improving research transparency.Methods: To develop our recognition methods, we used a set of 8431 sentences from 1197 PubMed Central articles. A subset of these sentences was manually annotated for training/testing, and inter-annotator agreement was calculated. We cast the recognition problem as a binary classification task, in which we determine whether a given sentence from a publication discusses self-acknowledged limitations or not. We experimented with three methods: a rule-based approach based on document structure, supervised machine learning, and a semi-supervised method that uses self-training to expand the training set in order to improve classification performance. The machine learning algorithms used were logistic regression (LR) and support vector machines (SVM).Results: Annotators had good agreement in labeling limitation sentences (Krippendorff's α = 0.781). Of the three methods used, the rule-based method yielded the best performance with 91.5% accuracy (95% CI [90.1-92.9]), while self-training with SVM led to a small improvement over fully supervised learning (89.9%, 95% CI [88.4-91.4] vs 89.6%, 95% CI [88.1-91.1]).Conclusions: The approach presented can be incorporated into the workflows of stakeholders focusing on research transparency to improve reporting of limitations in clinical studies.
GAMING HORIZONS is a multidisciplinary project that aims to expand the research and innovation agenda on serious gaming and gamification. The project is particularly interested in the use of games for learning and cultural development. Gamification - and gaming more broadly – are very important from a socio-economic point of view, but over the past few years they have been at the centre of critical and challenging debates, which highlighted issues such as gender and minority representation, and exploitative game mechanics. Our project’s key contention is that it is important for the European ICT community to engage with design trends and social themes that have affected profoundly the mainstream and ‘independent’ game development cultures over the past few years, especially because the boundaries between leisure and serious games are increasingly blurred. GAMING HORIZONS is a direct response to the official recognition by the H2020 programme of work that multidisciplinary research can help to advance the integration between Responsible Research and Innovation (RRI) and the Social Sciences and the Humanities (SSH). The project’s objective is to enable a higher uptake of socially responsible ICT-related research in relation to gaming. This objective will be achieved through a research-based exchange between communities of developers, policy makers, users and researchers. The methodology will involve innovative data collection activities and consultations with a range of stakeholders over a period of 14 months. We will interrogate the official ‘H2020 discourse’ on gamification – with a particular focus on ‘gamified learning’ - whilst engaging with experts, developers and critical commentators through interviews, events, workshops and systematic dialogue with an Advisory Board. Ultimately, GAMING HORIZONS will help identify future directions at the intersection of ethics, social research, and both the digital entertainment and serious games industries.EU FundingThe 14-month research project 'Gaming Horizons' was funded by the European Commission through the Horizon 2020 research and innovation programme.
In the past decade, particularly smaller drones have started to claim their share of the sky due to their potential applications in the civil sector as flying-eyes, noses, and very recently as flying hands. Network partners from various application domains: safety, Agro, Energy & logistic are curious about the next leap in this field, namely, collaborative Sky-workers. Their main practical question is essentially: “Can multiple small drones transport a large object over a high altitude together in outdoor applications?” The industrial partners, together with Saxion and RUG, will conduct feasibility study to investigate if it is possible to develop these collaborative Sky-workers and to identify which possibilities this new technology will offer. Design science research methodology, which focuses on solution-oriented applied research involving multiple iterations with rigorous evaluations, will be used to research the feasibility of the main technological building blocks. They are: • Accurate localization based on onboard sensors. • Safe and optimal interaction controller for collaborative aerial transport Within this project, the first proof-of-concepts will be developed. The results of this project will be used to expand the existing network and formulate a bigger project to address additional critical aspects in order to develop a complete framework for collaborative drones.
The demand for mobile agents in industrial environments to perform various tasks is growing tremendously in recent years. However, changing environments, security considerations and robustness against failure are major persistent challenges autonomous agents have to face when operating alongside other mobile agents. Currently, such problems remain largely unsolved. Collaborative multi-platform Cyber- Physical-Systems (CPSs) in which different agents flexibly contribute with their relative equipment and capabilities forming a symbiotic network solving multiple objectives simultaneously are highly desirable. Our proposed SMART-AGENTS platform will enable flexibility and modularity providing multi-objective solutions, demonstrated in two industrial domains: logistics (cycle-counting in warehouses) and agriculture (pest and disease identification in greenhouses). Aerial vehicles are limited in their computational power due to weight limitations but offer large mobility to provide access to otherwise unreachable places and an “eagle eye” to inform about terrain, obstacles by taking pictures and videos. Specialized autonomous agents carrying optical sensors will enable disease classification and product recognition improving green- and warehouse productivity. Newly developed micro-electromechanical systems (MEMS) sensor arrays will create 3D flow-based images of surroundings even in dark and hazy conditions contributing to the multi-sensor system, including cameras, wireless signatures and magnetic field information shared among the symbiotic fleet. Integration of mobile systems, such as smart phones, which are not explicitly controlled, will provide valuable information about human as well as equipment movement in the environment by generating data from relative positioning sensors, such as wireless and magnetic signatures. Newly developed algorithms will enable robust autonomous navigation and control of the fleet in dynamic environments incorporating the multi-sensor data generated by the variety of mobile actors. The proposed SMART-AGENTS platform will use real-time 5G communication and edge computing providing new organizational structures to cope with scalability and integration of multiple devices/agents. It will enable a symbiosis of the complementary CPSs using a combination of equipment yielding efficiency and versatility of operation.
