TY - JOUR
T1 - Online Social Space Identification. A Computational Tool for Optimizing Social Recommendations
AU - Zoppis, Italo
AU - Trentini, Andrea
AU - Manzoni, Sara
AU - Micucci, Daniela
AU - Mauri, Giancarlo
AU - Pietrabissa, Giada
AU - Castelnuovo, Gianluca
PY - 2020
Y1 - 2020
N2 - Conscious and functional use of online social spaces can support the elderly with mind
cognitive impairment (MCI) in their daily routine, not only for systematic monitoring, but to achieve
effective targeted engagement. In this sense, although social involvement can be obtained when
elder’s experiences, interests, and goals are shared and accepted by the community, an important
subsistence for aging depends on the compelling information, users’ co-operation, and resource
reliability. Unfortunately, applications aimed at optimizing the information content and the reliability
of online users are still missing. Within the SystEm of Nudge theory-based ICT applications for OldeR
citizens (SENIOR) project, an advanced social platform will be created in which the elderly with MCI
will be involved in “optimized” social communities, where suggestions for general well-being will
be recognized as useful by users and shared by care providers. We report the results of our study
addressing this issue from a theoretical perspective: we propose a computational problem and a
heuristic solution where “expert users” can engage and support the elderly by suggesting available
services and facilities for their conditions. The numerical experiments on synthetic data are of interest
when considering large communities, which is the most natural situation for online social spaces.
AB - Conscious and functional use of online social spaces can support the elderly with mind
cognitive impairment (MCI) in their daily routine, not only for systematic monitoring, but to achieve
effective targeted engagement. In this sense, although social involvement can be obtained when
elder’s experiences, interests, and goals are shared and accepted by the community, an important
subsistence for aging depends on the compelling information, users’ co-operation, and resource
reliability. Unfortunately, applications aimed at optimizing the information content and the reliability
of online users are still missing. Within the SystEm of Nudge theory-based ICT applications for OldeR
citizens (SENIOR) project, an advanced social platform will be created in which the elderly with MCI
will be involved in “optimized” social communities, where suggestions for general well-being will
be recognized as useful by users and shared by care providers. We report the results of our study
addressing this issue from a theoretical perspective: we propose a computational problem and a
heuristic solution where “expert users” can engage and support the elderly by suggesting available
services and facilities for their conditions. The numerical experiments on synthetic data are of interest
when considering large communities, which is the most natural situation for online social spaces.
KW - Nudge Theory
KW - Nudge Theory
UR - http://hdl.handle.net/10807/152518
U2 - 10.3390/app10093024
DO - 10.3390/app10093024
M3 - Article
SN - 2076-3417
VL - 10
SP - 3024-N/A
JO - Applied Sciences (Switzerland)
JF - Applied Sciences (Switzerland)
ER -