In flexible education, recommender systems that support course selection, are considered a viable means to help students in making informed course selections, especially where curricula offer greater flexibility. However, these recommender systems present both potential benefits and looming risks, such as overdependence on technology, biased recommendations, and privacy issues. User control mechanisms in recommender interfaces (or algorithmic affordances) might offer options to address those risks, but they have not been systematically studied yet. This paper presents the outcomes of a design session conducted during the INTERACT23 workshop on Algorithmic Affordances in Recommender Interfaces. This design session yielded insights in how the design of an interface, and specifically the algorithmic affordances in these interfaces, may address the ethical risks and dilemmas of using a recommender in such an impactful context by potentially vulnerable users. Through design and reflection, we discovered a host of design ideas for the interface of a flexible education interface, that can serve as conversation starters for practitioners implementing flexible education. More research is needed to explore these design directions and to gain insights on how they can help to approximate more ethically operating recommender systems.
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While feedback is frequently emphasized as a crucial principle of presentation courses in higher education, previous studies revealed that teachers outperform peers in terms of impact on students’ development of oral presentation competence. Further, presentation research showed that the lack of quality of peer feedback can be considered as an essential argumentation for the identified differences in effect. Follow-up field experiments demonstrated that Virtual Reality (VR) can be considered as a valuable alternative feedback source for developing public speaking skills, since this technology is able to simulate real-life presentation situations as well as to deliver feedback from the VR system to the individual learner. Recent technological developments allowed to convert quantitative information from VR systems into qualitative feedback messages that directly relate to the standards for high-quality feedback. If students are able to individually interpret the feedback messages without the intervention of a human feedback source, it could enrich the quality of feedback in peer and self-learning and further increase students’ oral presentation competence development. This chapter provides a synthesis of the literature in presentation research with the aim to construct a research agenda on computer-mediated feedback in VR for peer learning in this field. Further, two recent VR experiments in presentation research are discussed with the aim to effectively construct feedback messages in VR for improving peer learning.
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The concept of human-computer integration (HInt) is entering a new evolutionary phase, that leads to a paradigm shift from interaction to the integration of computing devices with the human body (Farooq & Grudin, 2017). This embodied integration, where a computer tightly integrates with the human body (Mueller, Maes & Grudin, 2019), engages the human being in mutual give-and-take relationships with computational systems. The paradigm shift in human-computer integration might have more to do with ‘becoming-in-the-world’ (Shildrick, 2022) than with ‘being-in-the-world’ requires a rethinking in the philosophy on the human body and its technological intertwining. Our research project starts from the belief that new insight and meanings on bodily understanding in the context of Human-Computer Integration can only be achieved through a creative and artistic exploration of the ‘lived experience’ of disabled bodies. In this project, research activities will be grounded in feminist philosophy and performed into the context of disability, yet the methodological approach of exploring the ‘felt sense’ and ‘kinaesthetics’ of the disability materiality takes place through performative design practice at the intersection of the HCI-related research fields of Soma Design (Höök, 2018) and Somaesthetics (Shusterman, 2008), as well as artistic disciplines, such as Musicology and Music Therapy, Dance and Dance Movement Therapy, Disability Arts and Critical Disability Studies. This paper starts with an explanation of the current research situation, and then provides background information on the different schools of thought that are present in the project. It continues with describing the research goals, methods, and research questions. The final part of the paper consists of an overview of three preliminary studies which explore human-computer relationships through the combination of performative practice and cyber-physical demonstrators, created by bachelor-students ‘Communication and Multimedia Design’ at Amsterdam University of Applied Sciences in The Netherlands and master-students ‘Web, Communication, and Information Systems’ at the Fachhochschule Kufstein in Austria. The takeaway message of this paper is that to advance our understandings of human-computer integration, we must consider a perspectivist viewpoint to develop alternative ways for exploring the bodily complexities of human-computer integration. We further argue that disability can be a catalyst for innovation and life-changing design in health and well-being, as it automatically emphasises the need for engaging with ‘being human’ in the context of the human-computer relationship. This PhD-project is productively looking for new forms of studying the context of disability, to unveil, excavate and expose knowledge for human- computer integration (HInt) that would otherwise be overlooked in the HCI-community.
The focus of the research is 'Automated Analysis of Human Performance Data'. The three interconnected main components are (i)Human Performance (ii) Monitoring Human Performance and (iii) Automated Data Analysis . Human Performance is both the process and result of the person interacting with context to engage in tasks, whereas the performance range is determined by the interaction between the person and the context. Cheap and reliable wearable sensors allow for gathering large amounts of data, which is very useful for understanding, and possibly predicting, the performance of the user. Given the amount of data generated by such sensors, manual analysis becomes infeasible; tools should be devised for performing automated analysis looking for patterns, features, and anomalies. Such tools can help transform wearable sensors into reliable high resolution devices and help experts analyse wearable sensor data in the context of human performance, and use it for diagnosis and intervention purposes. Shyr and Spisic describe Automated Data Analysis as follows: Automated data analysis provides a systematic process of inspecting, cleaning, transforming, and modelling data with the goal of discovering useful information, suggesting conclusions and supporting decision making for further analysis. Their philosophy is to do the tedious part of the work automatically, and allow experts to focus on performing their research and applying their domain knowledge. However, automated data analysis means that the system has to teach itself to interpret interim results and do iterations. Knuth stated: Science is knowledge which we understand so well that we can teach it to a computer; and if we don't fully understand something, it is an art to deal with it.[Knuth, 1974]. The knowledge on Human Performance and its Monitoring is to be 'taught' to the system. To be able to construct automated analysis systems, an overview of the essential processes and components of these systems is needed.Knuth Since the notion of an algorithm or a computer program provides us with an extremely useful test for the depth of our knowledge about any given subject, the process of going from an art to a science means that we learn how to automate something.
Smart city technologies, including artificial intelligence and computer vision, promise to bring a higher quality of life and more efficiently managed cities. However, developers, designers, and professionals working in urban management have started to realize that implementing these technologies poses numerous ethical challenges. Policy papers now call for human and public values in tech development, ethics guidelines for trustworthy A.I., and cities for digital rights. In a democratic society, these technologies should be understandable for citizens (transparency) and open for scrutiny and critique (accountability). When implementing such public values in smart city technologies, professionals face numerous knowledge gaps. Public administrators find it difficult to translate abstract values like transparency into concrete specifications to design new services. In the private sector, developers and designers still lack a ‘design vocabulary’ and exemplary projects that can inspire them to respond to transparency and accountability demands. Finally, both the public and private sectors see a need to include the public in the development of smart city technologies but haven’t found the right methods. This proposal aims to help these professionals to develop an integrated, value-based and multi-stakeholder design approach for the ethical implementation of smart city technologies. It does so by setting up a research-through-design trajectory to develop a prototype for an ethical ‘scan car’, as a concrete and urgent example for the deployment of computer vision and algorithmic governance in public space. Three (practical) knowledge gaps will be addressed. With civil servants at municipalities, we will create methods enabling them to translate public values such as transparency into concrete specifications and evaluation criteria. With designers, we will explore methods and patterns to answer these value-based requirements. Finally, we will further develop methods to engage civil society in this processes.
Induced seismicity problems in the Groningen area caused by gas extraction have been one of the major challenges for the engineering and construction companies in the region and the Netherlands, not only because earthquake phenomena are new to the Dutch engineering community but also because the problem is very much complicated due to its social extents. The companies working in the structural engineering field in the region in different disciplines were forced to adapt very quickly to the earthquake related problems. It was a real size and investment problem for the SMEs, several of which benefited from this rush, however, only under certain conditions can this new skill set be sustainable. The SafeGo project aims mostly to help to facilitate sustainable development and build confidence for the SMEs in the field of earthquake engineering, rather than producing new scientific knowledge for them. SMEs are positioned in the seismic strengthening process either for collection of data or for providing and applying strengthening solutions. The proposed project aims to answer the question on how the “data-collection SMEs” can translate their data into more valuable assets to be used in the earthquake problem because the collection and the use of field data are vital. Furthermore, the question is also how the “strengthening SMEs” can verify and demonstrate their systems on a seismic shake table, because strengthening requires proven methodologies. The project goal is to combine these two central questions into findings on how the experimental and field data can efficiently be translated into suitable procedures, products and computer simulations for seismic assessment and strengthening of buildings, allowing SMEs to provide novel, integrated and accurate solutions not only in the region but also in international markets.
