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Dieser Artikel befasst sich mit der Akzeptanz von Gesundheitstechnologien in der Bevölkerung älterer Menschen. In diesem Kontext wurden qualitative und quantitative Daten bei Teilnehmern eines EU-geförderten Forschungsprojektes erhoben, die über einen Zeitraum von 24 Wochen einen Aktivitätsmonitor eingesetzt haben. Während die qualitativen Daten einen detaillierten Einblick in Praktiken und Einstellungen der Zielgruppe hinsichtlich der Nutzung solcher Technologien schaffen sollten, wurde mithilfe quantitativer Messungen das Akzeptanzverhalten älterer Menschen im Hinblick auf den Aktivitätsmonitor beschrieben. Die Kombination qualitativer und quantitativer Ergebnisse zeigt, dass Gesundheitstechnologien wie Aktivitätsmonitore grundsätzlich auf Interesse bei der älteren Bevölkerung stoßen, allerdings Merkmale wie das Design, die Bedienung sowie der Nutzen solcher Geräte maßgeblich zur Akzeptanz beitragen und diese Merkmale während Design- und Entwicklungsphasen priorisiert werden sollten.
In this paper, we provide a participatory design study of a mobile health platform for older adults that provides an integrative perspective on health data collected from different devices and apps. We illustrate the diversity and complexity of older adults’ perspectives in the context of health and technology use, the challenges which follow on for the design of mobile health platforms that support active and healthy ageing (AHA) and our approach to addressing these challenges through a participatory design (PD) process. Interviews were conducted with older adults aged 65+ in a two-month study with the goal of understanding perspectives on health and technologies for AHA support. We identified challenges and derived design ideas for a mobile health platform called “My-AHA”. For researchers in this field, the structured documentation of our procedures and results, as well as the implications derived provide valuable insights for the design of mobile health platforms for older adults.
Falls are a serious problem in aging societies. A sedentary life style and low levels of physical activity are major factors aggravating older adults’ fall risk. Information and communication technology (ICT)-based fall prevention interventions are a promising approach to counteract the fall risk of this target group. For some time now, fall prevention interventions have put emphasize to video game based solutions, as video games have become more popular and accepted among older adults. Studies show that such ICT-based fall prevention interventions significantly reduce fall risk in older adults. Nevertheless, the population of older adults is fairly heterogeneous, and factors like gender, age, fitness, sociability, and so on may influence the use of such systems.
This article concerns with human-computer-interaction (HCI) from a neuroscientific perspective. The motivation for this perspective is the demographic transition, which shifts population structures of industrial nations. The authors will explain consequences of the demographic transition in terms of HCI and establish a hypothesis for these research activities. To evaluate this hypothesis the authors develop an approach, which combines different disciplines. This approach examines the effects of IT-accessibility on human cognitive processing. Therefore, required methodologies and instruments will be explained, discussed and selected. Possible effects of IT-accessibility on human cognitive processing will be illustrated with an acknowledged cognition model. The result of this article will be a concept, which enables the measurement of IT-accessibility impacts on human cognitive processing.
This article concerns the design and development of Information- and Communication Technology, in particular computer systems in regard to the demographic transition which will influence user capabilities. It is questionable if current applied computer systems are able to meet the requirements of altered user groups with diversified capabilities. Such an enquiry is necessary based on actual forecasts leading to the assumption that the average age of employees in enterprises will increase significantly within the next 50-60 years, while the percentage of computer aided business tasks, operated by human individuals, rises from year to year. This progress will precipitate specific consequences for enterprises regarding the design and application of computer systems. If computer systems are not adapted to altered user requirements, efficient and productive utilisation could be negatively influenced. These consequences constitute the motivation to extend traditional design methodologies and thereby ensure the application of computer systems that are usable, independent of user capabilities.
Daryoush Daniel Vaziri illustrates that the use of mixed methods designs may support the induction of more subtle and complete theories about older adults’ use of technologies for the support of active and healthy aging. The results show that older adults’ social contexts and environments considerably affect their perspectives, practices and attitudes with respect to health, quality of life, well-being and technology use for active and healthy aging support. Results were collected with older adults aged 60+ as well as relevant secondary stakeholders like caregivers, policy makers or health insurance companies.
This chapter concerns with the accessibility of Business Process Modelling tools (BPMo tools) and Business Process Modelling languages (BPMo languages). Therefore, the reader is introduced to accessibility first. The authors provide definitions, standards, and a status quo on accessibility. Afterwards, the chapter concerns business process management. The reader learns definitions for processes and advantages and disadvantages of modelling languages. The BPM section is closed with the selection of a proper modelling notation for the accessibility evaluation. In form of two separate analyses, the authors evaluate the accessibility of two BPM tools. The results and recommendations for actions are presented after each analysis.
