It is argued that if we decide to keep a technology or practice if we get at least one positive result from it, we do not have to change anything at all. Even factory farming, and wars, have some positive results... Due to the complexity and all the "smart" devices and apps, we may have started to feel, think and connect less. However, we have definitely not lost these deep-rooted properties of our human nature. We only have to put the devices away, play a board game together, or go for a walk in nature, and our sense of direction returns almost immediately, literally and figuratively. Addiction to our modern substances is broad, but superficial. There is a way back, or rather forward. We have lost nothing, not even our judgment, we know that we should not believe in innovation, but in our own Inner Development
MULTIFILE
The “Creating Age-friendly Communities: Housing and Technology” publication presents contemporary, innovative, and insightful narratives, debates, and frameworks based on an international collection of papers from scholars spanning the fields of gerontology, social sciences, architecture, computer science, and gerontechnology. This extensive collection of papers aims to move the narrative and debates forward in this interdisciplinary field of age-friendly cities and communities. (This book is a reprint of the Special Issue Creating Age-friendly Communities: Housing and Technology that was published in Healthcare)
MULTIFILE
![Creating age-friendly communities: Housing and technology [book]](https://publinova-harvester-content-prod.s3.amazonaws.com/thumbnails/files/previews/pdf/20240419013542156479.b97102b7-5bdc-4b75-a293-4281df36ef73-thumbnail-400x300.png)
This study aims to help professionals in the field of running and running-related technology (i.e., sports watches and smartphone applications) to address the needs of runners. It investigates the various runner types—in terms of their attitudes, interests, and opinions (AIOs) with regard to running—and studies how they differ in the technology they use. Data used in this study were drawn from the standardized online Eindhoven Running Survey 2016 (ERS2016). In total, 3723 participants completed the questionnaire. Principal component analysis and cluster analysis were used to identify the different running types, and crosstabs obtained insights into the use of technology between different typologies. Based on the AIOs, four distinct runner types were identified: casual individual, social competitive, individual competitive, and devoted runners. Subsequently, we related the types to their use of sports watches and apps. Our results show a difference in the kinds of technology used by different runner types. Differentiation between types of runners can be useful for health professionals, policymakers involved in public health, engineers, and trainers or coaches to adapt their services to specific segments, in order to make use of the full potential of running-related systems to support runners to stay active and injury-free and contribute to a healthy lifestyle.
