Summary
Elderly poverty is a prominent problem, and financial well-being in elderly is often considered low. A common cause for elderly poverty is a lack of sufficient pension awareness and engagement, especially at a young age. Independent of the pension scheme in a particular country, pension funds and policymakers around the world struggle to increase the engagement of pension plan consumers that would affect a consumer's future financial well-being positively. An often-proposed intervention to overcome the present bias that leads to not engaging with pension communications is to stimulate the imagery of the future self in pension plan consumers. Yet, current pension communications fall behind expectations in stimulating imagery of the future self and thus fail to improve pension awareness and engagement. In light of recent evidence on a new technology coined Augmented Reality (AR), this project proposes an experimental approach to investigate the impact of AR on the imagery of the future self and the downstream effects on pension awareness and engagement. Building on a series of laboratory, online, and field experiments, I apply findings from recent AR research in consumer behavior to find evidence and theoretically explain the effects AR can have on pension awareness and engagement. Combining findings from laboratory studies with field-evidence from the world’s third largest pension provider (APG) will shine light on how to improve pension communication with AR to improve future financial well-being. The proposed results are societally relevant as they can help to promote pension engagement that results in future financial well-being. My strong background in experimental consumer behavior research with a focus on AR technology and consumer engagement, combined with my supervisor’s expertise in pension and financial well-being research, and the strong research and training environment at Maastricht University (UM) will guarantee a successful project completion.
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| Web resources: | https://cordis.europa.eu/project/id/101024942 |
| Start date: | 01-09-2021 |
| End date: | 02-04-2024 |
| Total budget - Public funding: | 187 572,48 Euro - 187 572,00 Euro |
Cordis data
Original description
Elderly poverty is a prominent problem, and financial well-being in elderly is often considered low. A common cause for elderly poverty is a lack of sufficient pension awareness and engagement, especially at a young age. Independent of the pension scheme in a particular country, pension funds and policymakers around the world struggle to increase the engagement of pension plan consumers that would affect a consumer's future financial well-being positively. An often-proposed intervention to overcome the present bias that leads to not engaging with pension communications is to stimulate the imagery of the future self in pension plan consumers. Yet, current pension communications fall behind expectations in stimulating imagery of the future self and thus fail to improve pension awareness and engagement. In light of recent evidence on a new technology coined Augmented Reality (AR), this project proposes an experimental approach to investigate the impact of AR on the imagery of the future self and the downstream effects on pension awareness and engagement. Building on a series of laboratory, online, and field experiments, I apply findings from recent AR research in consumer behavior to find evidence and theoretically explain the effects AR can have on pension awareness and engagement. Combining findings from laboratory studies with field-evidence from the world’s third largest pension provider (APG) will shine light on how to improve pension communication with AR to improve future financial well-being. The proposed results are societally relevant as they can help to promote pension engagement that results in future financial well-being. My strong background in experimental consumer behavior research with a focus on AR technology and consumer engagement, combined with my supervisor’s expertise in pension and financial well-being research, and the strong research and training environment at Maastricht University (UM) will guarantee a successful project completion.Status
SIGNEDCall topic
MSCA-IF-2020Update Date
28-04-2024
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