In this chapter, the authors elaborate on serious games and playful interactionsin modern scientific practices, and on the way they can engendermutual scientific growth. They use a research-through-design approach, inwhich three possible scenarios and prototypes are studied to envisage thenew role of the public library in practicing science in a changing society.Their conclusion is that the public library of the future should employcitizen science projects that are fun, accessible, malleable, and participatory,so that its new role can focus on offering meaningful informationat the right time in the right place, contextualizing information usingplayful solutions, bringing together communities to share information,and enabling new scientific practices in unexplored fields.
Playful Mapping is the result of many years of joint enterprise in which we, as authors, devel-oped a close intellectual collaboration. As a book, it emerged towards the end of the ERC project Charting the Digital that ran from 2011-2016, and during a still-ongoing Erasmus+ project; Go Go Gozo. Over this five year period, members of the Playful Mapping Collective got to know each other as colleagues and friends, participating regularly in diverse academic and social activities, such as conference panels and workshops.1 The authorship of this book therefore reflects an interesting collaborative experiment, enrolling researchers who have been working together in an active way over the past half-decade. This preface explains the genealogy of the emerging and open collaboration through which we developed ideas
A world where technology is ubiquitous and embedded in our daily lives is becoming increasingly likely. To prepare our students to live and work in such a future, we propose to turn Saxion’s Epy-Drost building into a living lab environment. This will entail setting up and drafting the proper infrastructure and agreements to collect people’s location and building data (e.g. temperature, humidity) in Epy-Drost, and making the data appropriately available to student and research projects within Saxion. With regards to this project’s effect on education, we envision the proposal of several derived student projects which will provide students the opportunity to work with huge amounts of data and state-of-the-art natural interaction interfaces. Through these projects, students will acquire skills and knowledge that are necessary in the current and future labor-market, as well as get experience in working with topics of great importance now and in the near future. This is not only aligned with the Creative Media and Game Technologies (CMGT) study program’s new vision and focus on interactive technology, but also with many other education programs within Saxion. In terms of research, the candidate Postdoc will study if and how the data, together with the building’s infrastructure, can be leveraged to promote healthy behavior through playful strategies. In other words, whether we can persuade people in the building to be more physically active and engage more in social interactions through data-based gamification and building actuation. This fits very well with the Ambient Intelligence (AmI) research group’s agenda in Augmented Interaction, and CMGT’s User Experience line. Overall, this project will help spark and solidify lasting collaboration links between AmI and CMGT, give body to AmI’s new Augmented Interaction line, and increase Saxion’s level of education through the dissemination of knowledge between researchers, teachers and students.
The textile industry is responsible for over 8% of global greenhouse gas emissions and 20% of the world’s wastewater, surpassing the emissions from international flights and shipping combined. In the European Union, textile purchases in 2020 led to around 270 kg of CO₂ emissions per person, yet only 1% of used clothing is recycled into new garments. The municipality of Groningen manages an estimated 950 kilotons of textile waste but is only able to collect, sort, and recycle 250 kilotons. To address these challenges, Textile Hub Groningen (THG) seeks to support small and medium-sized enterprises (SMEs) and stakeholders in creating circular textile value chains. However, designing circular value chains presents challenges, including conflicting interests, knowledge gaps on circular design principles, and inadequate tools for collaborative business model development. Potential stakeholders often find current tools too abstract and not conducive to collaboration, learning, or experimentation. As a result, circular value chains remain difficult to achieve from the perspective of individual stakeholders. Serious games have been employed to simulate and experiment with complex adaptive systems , . Research shows that well-designed playful learning enhances both learning and motivation, particularly when social elements are integrated . This project aims to answer the following research question: How can serious games be leveraged to design circular textile value chains in the region? The expected outcomes are: 1. Serious Game: Design, test, and deliver a serious game to facilitate the joint design of circular textile value chains. 2. Publications: Extract insights from the game’s design and evaluation, contributing to both academic and practical discussions. 3. Consortium for Follow-up: Mobilize partners and secure funding for future projects in related fields. Through game-based collaborative circular value chain and business model design experiences, this project overcomes barriers in designing viable circular value chains in the textile industry
Lack of physical activity in urban contexts is an increasing health risk in The Netherlands and Brazil. Exercise applications (apps) are seen as potential ways of increasing physical activity. However, physical activity apps in app stores commonly lack a scientific base. Consequently, it remains unknown what specific content messages should contain and how messages can be personalized to the individual. Moreover, it is unknown how their effects depend on the physical urban environment in which people live and on personal characteristics and attitudes. The current project aims to get insight in how mobile personalized technology can motivate urban residents to become physically active. More specifically, we aim to gain insight into the effectiveness of elements within an exercise app (motivational feedback, goal setting, individualized messages, gaming elements (gamification) for making people more physically active, and how the effectiveness depends on characteristics of the individual and the urban setting. This results in a flexible exercise app for inactive citizens based on theories in data mining, machine learning, exercise psychology, behavioral change and gamification. The sensors on the mobile phone, together with sensors (beacons) in public spaces, combined with sociodemographic and land use information will generate a massive amount of data. The project involves analysis in two ways. First, a unique feature of our project is that we apply machine learning/data mining techniques to optimize the app specification for each individual in a dynamic and iterative research design (Sequential Multiple Assignment Randomised Trial (SMART)), by testing the effectiveness of specific messages given personal and urban characteristics. Second, the implementation of the app in Sao Paolo and Amsterdam will provide us with (big) data on use of functionalities, physical activity, motivation etc. allowing us to investigate in detail the effects of personalized technology on lifestyle in different geographical and cultural contexts.
