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.
DOCUMENT
This review of meta-analyses of outcome studies of adults receiving Computer-Based Health Education (CBHE) has two goals. The first is to provide an overview of the efficacy of CBHE interventions, and the second is to identify moderators of these effects. A systematic literature search resulted in 15 meta-analyses of 278 controlled outcome studies. The meta-analyses were analysed with regard to reported (overall) effect sizes, heterogeneity and interaction effects. The results indicate a positive relationship between CBHE interventions and improvements in health-related outcomes, with small overall effect sizes compared to non-computer-based interventions. The sustainability of the effects was observed for up to six months. Outcome moderators (31 variables) were studied in 12 meta-analyses and were clustered into three categories: intervention features (20 variables), participant characteristics (five variables) and study features (six variables). No relationship with effectiveness was found for four intervention features, theoretical background, use of internet and e-mail, intervention setting and self-monitoring; two participant features, age and gender; and one study feature, the type of analysis. Regarding the other 24 identified features, no consistent results were observed across meta-analyses. To enhance the effectiveness of CBHE interventions, moderators of effects should be studied as single constructs in high-quality study designs. http://www.journalofinterdisciplinarysciences.com/ https://www.linkedin.com/in/leontienvreeburg/
DOCUMENT
Research into automatic text simplification aims to promote access to information for all members of society. To facilitate generalizability, simplification research often abstracts away from specific use cases, and targets a prototypical reader and an underspecified content creator. In this paper, we consider a real-world use case – simplification technology for use in Dutch municipalities – and identify the needs of the content creators and the target audiences in this scenario. The stakeholders envision a system that (a) assists the human writer without taking over the task; (b) provides diverse outputs, tailored for specific target audiences; and (c) explains the suggestions that it outputs. These requirements call for technology that is characterized by modularity, explainability, and variability. We argue that these are important research directions that require further exploration
MULTIFILE
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.
Het aantal winkelbezoekers loopt in Europa al jaren terug, vooral in economisch zwakkere regio’s. Dit geldt in het bijzonder voor ouderen, waarvan de verwachting is dat ze in de toekomst fysieke winkels nog meer de rug zullen toekeren. Om de winkelervaring te verbeteren, investeren winkeliers steeds meer in opkomende digitale technologieën zoals apps, interactieve en digitale schermen, sociale robots en zelfscankassa’s. Deze instore technologieën slaan vooral bij jongere klanten aan, oudere klanten blijken door hun beperkingen (o.a. zien, horen, mobiliteit, informatieverwerking en digitale vaardigheden) nog steeds veel barrières te ervaren bij het bezoek aan winkels en het gebruik van instore technologieën. Dit is niet alleen nadelig voor winkeliers omdat ouderen een substantieel, stijgend, en koopkrachtig deel van de bevolking vertegenwoordigen dat relatief trouw is aan regionale winkelgebieden, maar het zet ook de inclusie van ouderen in Europa onder druk omdat winkelbezoek bijdraagt aan hun sociale welbevinden. Met dit onderzoeksproject onderzoekt het nieuwe consortium van twee hogescholen en drie buitenlandse universiteiten hoe instore technologieën ouderen in Europa kunnen helpen bij het wegnemen van barrières om tot een goede winkelervaring te komen. Het project brengt de onderzoeksprogramma’s van het lectorenplatform Retail Innovation Platform (Hogeschool van Amsterdam, Hogeschool Saxion), de Retail en Marketingtechnologie groep (University of Bristol), de human-computer interaction groep (University of Calabria), en de engaging co-design research group (Aalto University) samen. Het project sluit aan bij nationale en Europese initiatieven zoals de Kennis- en Innovatieagenda Sleuteltechnologieën 2024-2027, The DIGITAL Europe Programme en de Strategy for the rights of persons with disabilities 2021-2030. Door de relaties tussen ouderen, opkomende digitale technologie, en winkelgedrag over verschillende Europese regio’s te onderzoeken, sluit het project tevens aan bij Interreg Europa en het Europees Fonds voor Regionale Ontwikkeling.
Volgens onderzoek van McKinsey is marketing het vakgebied waar AI de meeste waarde toe gaat voegen, onder andere op het gebied van personalisatie. Hierdoor verandert het stakeholderveld waarin de marketeer personalisatie-algoritmen toepast significant, zo werkt hij steeds vaker samen met data scientists, AI-architecten en data engineers. Dit onderzoek richt zich op de vraag welke handvatten marketeers nodig hebben om tot een verantwoorde personalisatie-praktijk te komen.
