The user experience of our daily interactions is increasingly shaped with the aid of AI, mostly as the output of recommendation engines. However, it is less common to present users with possibilities to navigate or adapt such output. In this paper we argue that adding such algorithmic controls can be a potent strategy to create explainable AI and to aid users in building adequate mental models of the system. We describe our efforts to create a pattern library for algorithmic controls: the algorithmic affordances pattern library. The library can aid in bridging research efforts to explore and evaluate algorithmic controls and emerging practices in commercial applications, therewith scaffolding a more evidence-based adoption of algorithmic controls in industry. A first version of the library suggested four distinct categories of algorithmic controls: feeding the algorithm, tuning algorithmic parameters, activating recommendation contexts, and navigating the recommendation space. In this paper we discuss these and reflect on how each of them could aid explainability. Based on this reflection, we unfold a sketch for a future research agenda. The paper also serves as an open invitation to the XAI community to strengthen our approach with things we missed so far.
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The evolving landscape of science communication highlights a shift from traditional dissemination to participatory engagement. This study explores Dutch citizens’ perspectives on science communication, focusing on science capital, public engagement, and communication goals. Using a mixed-methods approach, it combines survey data (n = 376) with focus group (n = 66) insights. Findings show increasing public interest in participating in science, though barriers like knowledge gaps persist. Trust-building, engaging adolescents, and integrating science into society were identified as key goals. These insights support the development of the Netherlands’ National Centre of Expertise on Science and Society and provide guidance for inclusive, effective science communication practices.
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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.
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De wijkverpleging staat voor grote uitdagingen. Meer ouderen met gezondheidsproblemen wonen tot hoge leeftijd thuis. Toch is er weinig bekend over welke uitkomsten belangrijk zijn in de wijkverpleging en hoe deze gebruikt kunnen worden voor leren en verbeteren.
Electrohydrodynamic Atomization (EHDA), also known as Electrospray (ES), is a technology which uses strong electric fields to manipulate liquid atomization. Among many other areas, electrospray is used as an important tool for biomedical application (droplet encapsulation), water technology (thermal desalination and metal recovery) and material sciences (nanofibers and nano spheres fabrication, metal recovery, selective membranes and batteries). A complete review about the particularities of this tool and its application was recently published (2018), as an especial edition of the Journal of Aerosol Sciences. One of the main known bottlenecks of this technique, it is the fact that the necessary strong electric fields create a risk for electric discharges. Such discharges destabilize the process but can also be an explosion risk depending on the application. The goal of this project is to develop a reliable tool to prevent discharges in electrospray applications.