In this thesis we present our research project on an augmented environment developed using the technology available in the field of Augmented Reality, capable of delivering learning contents on Information and Communication Technologies and e-services to older adults without computer and digital literacy. The learning environment is meant to provide a contribution in solving a problem of social exclusion in older adults. In recent years, technology has helped older adults in many ways to slow down the effects of ageing. Yet, at the same time, technology has also created new problems for older adults. Indeed, technology has transformed society into a strongly technological-based e-society, in which citizens without competences on the use of computer and digital tools, such as older adults, are progressively pushed to the margins, and run the risk of being socially excluded. Learning is the key-concept for a possible solution to such a problem. Older adults can still learn, even in older age. Learning is beneficial to older adults in many ways. So, why not using learning for teaching older adults the basic of technology necessary to make them citizens of e-society? That is the purpose of our research: our learning environment is meant to teach older adults the basic of technology through a technological device. We designed our augmented environment specifically for older adults without computer and digital literacy: it takes into account older adults’ needs and possible disabilities; it does not require any particular psycho-physical competence to be used; it does not require any technological knowledge. In this thesis we show how we designed a learning augmented environment with such features, how we developed it, and how we tested it on a group of older adults to ensure that what we have developed meets the requirements we set during the design process.

Augmented learning: the development of a learning environment in augmented reality

Cicconi, Sergio
2020

Abstract

In this thesis we present our research project on an augmented environment developed using the technology available in the field of Augmented Reality, capable of delivering learning contents on Information and Communication Technologies and e-services to older adults without computer and digital literacy. The learning environment is meant to provide a contribution in solving a problem of social exclusion in older adults. In recent years, technology has helped older adults in many ways to slow down the effects of ageing. Yet, at the same time, technology has also created new problems for older adults. Indeed, technology has transformed society into a strongly technological-based e-society, in which citizens without competences on the use of computer and digital tools, such as older adults, are progressively pushed to the margins, and run the risk of being socially excluded. Learning is the key-concept for a possible solution to such a problem. Older adults can still learn, even in older age. Learning is beneficial to older adults in many ways. So, why not using learning for teaching older adults the basic of technology necessary to make them citizens of e-society? That is the purpose of our research: our learning environment is meant to teach older adults the basic of technology through a technological device. We designed our augmented environment specifically for older adults without computer and digital literacy: it takes into account older adults’ needs and possible disabilities; it does not require any particular psycho-physical competence to be used; it does not require any technological knowledge. In this thesis we show how we designed a learning augmented environment with such features, how we developed it, and how we tested it on a group of older adults to ensure that what we have developed meets the requirements we set during the design process.
22-ott-2020
Inglese
Marchese, Maurizio
Università degli studi di Trento
Trento
291
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14242/178353
Il codice NBN di questa tesi è URN:NBN:IT:UNITN-178353