ProMe: A Mentoring Platform for Older Adults Using Machine Learning Techniques for Supporting the “Live and Learn” Concept

Journal article


Chrysoulas, C, Kostopoulos, G, Neureiter, K, Papatoiu, D and Tscheligi, M (2018). ProMe: A Mentoring Platform for Older Adults Using Machine Learning Techniques for Supporting the “Live and Learn” Concept. Mobile Information Systems. 2018. https://doi.org/10.1155/2018/9723268
AuthorsChrysoulas, C, Kostopoulos, G, Neureiter, K, Papatoiu, D and Tscheligi, M
Abstract

It is well known what an important role employment plays in our lives and how it influences our everyday life. With the help of
employment, all of us as individuals manage to create our personal and social net that not only gives meaning and financial
security but also heavily affects our social status, contributes to self-esteem, and plays a vital role on the way our social relationships
at work and (not only) are formed. Being work active even after the retirement time has been found to have mostly
useful and positive effects. Age groups that are in the after retirement age group (65 and more) and keep working can significantly
improve their mental health since they feel that there are still things to offer to others. ProMe aims to provide a unique framework
for the people being in this transitional phase of their life, from work to retirement, thus playing a vital role in supporting their
mental health and well-being. ProMe provides a platform for the younger generation to benefit from the accumulated professional
and formal knowledge and experience of the older. In this way, ProMe supports professional intergenerational cooperation and
mentoring, bringing together older adults with younger generations.

Year2018
JournalMobile Information Systems
Journal citation2018
PublisherHindawi
ISSN1574-017X
Digital Object Identifier (DOI)https://doi.org/10.1155/2018/9723268
Publication dates
Print02 Dec 2018
Publication process dates
Deposited06 Dec 2018
Accepted11 Nov 2018
Publisher's version
License
File Access Level
Open
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