Abstract
Aims:
Assistive technologies have been on the rise in the last decade as a potential cost-effective tool to improve quality of life, particularly as it pertains to the aging population. In this project, we have developed a system that assesses self-reported job demands and resources as well as health-related outcomes (cognitive and somatic stress, burnout symptoms and sleep quality) in order to provide targeted interventions to older workers (e.g. mindfulness exercises, time and task management tools, serious games) via an app and a virtual reality environment. In this first analysis of data from the effectiveness study, our aim is to tap into usage scenarios, motivation and attitudes, aswell as user pathways, particularly as it relates to job characteristics and health outcomes in the form of a diary study spanning.
Methods:
Sixty-four currently employed participants in the age of 50 or older were recruited for this study in two European countries. Participants were first filtered by self-reported stress, including those with moderate and high stress levels in the study. Participants were provided with a mobile phone and VR glasses running the developed system. Throughout the course of a 12-week period, participants interacted with the devices, testing different kinds of interventions and filling out recurring self-reported health measures. Repeated-measures, within-subject analyses were conducted to tap into changes in the assessed parameters (attitudes, motivation, job characteristics, healthreported outcomes) and in the usage meta data.
Results:
The results of this diary study will provide insights into the validity, functionality, usability and suitability of this system for this particular target group.
Conclusion:
Understanding user pathways by means of diary data will generate a more nuanced, day-to-day understanding of the interaction with these newassistive technologies in the field ofmental health before a large-scale evaluation study.
Assistive technologies have been on the rise in the last decade as a potential cost-effective tool to improve quality of life, particularly as it pertains to the aging population. In this project, we have developed a system that assesses self-reported job demands and resources as well as health-related outcomes (cognitive and somatic stress, burnout symptoms and sleep quality) in order to provide targeted interventions to older workers (e.g. mindfulness exercises, time and task management tools, serious games) via an app and a virtual reality environment. In this first analysis of data from the effectiveness study, our aim is to tap into usage scenarios, motivation and attitudes, aswell as user pathways, particularly as it relates to job characteristics and health outcomes in the form of a diary study spanning.
Methods:
Sixty-four currently employed participants in the age of 50 or older were recruited for this study in two European countries. Participants were first filtered by self-reported stress, including those with moderate and high stress levels in the study. Participants were provided with a mobile phone and VR glasses running the developed system. Throughout the course of a 12-week period, participants interacted with the devices, testing different kinds of interventions and filling out recurring self-reported health measures. Repeated-measures, within-subject analyses were conducted to tap into changes in the assessed parameters (attitudes, motivation, job characteristics, healthreported outcomes) and in the usage meta data.
Results:
The results of this diary study will provide insights into the validity, functionality, usability and suitability of this system for this particular target group.
Conclusion:
Understanding user pathways by means of diary data will generate a more nuanced, day-to-day understanding of the interaction with these newassistive technologies in the field ofmental health before a large-scale evaluation study.
| Original language | English |
|---|---|
| Title of host publication | QUALITY OF LIFE RESEARCH |
| Subtitle of host publication | 29th Annual Conference of the International Society for Quality of Life Research |
| Publisher | Springer Nature Switzerland AG |
| Chapter | 204: Methods |
| Pages | S83-S84 |
| Number of pages | 2 |
| Volume | 31 |
| Edition | Supplement 2 |
| Publication status | Published - Nov 2022 |
| Event | 29th Annual Conference of the International Society for Quality of Life Research: Redefining boundaries – breaking new ground in patient-centered outcomes research - Prag, Czech Republic Duration: 19 Sept 2023 → 22 Oct 2023 https://www.isoqol.org/events/29th-annual-conference-program-archive/ |
Publication series
| Name | Quality of Life Research |
|---|---|
| Publisher | Springer Netherlands |
| ISSN (Print) | 0962-9343 |
Conference
| Conference | 29th Annual Conference of the International Society for Quality of Life Research |
|---|---|
| Abbreviated title | ISOQOL2022 |
| Country/Territory | Czech Republic |
| City | Prag |
| Period | 19/09/23 → 22/10/23 |
| Internet address |
Research Field
- Medical Signal Analysis
Keywords
- Assistive technologies
- potential cost-effective tool
- improve quality of life
- assesses self-reported job demands and resources
- health-related outcomes
- targeted interventions to older
- via an app and a virtual reality environment
- tap into usage scenarios
- motivation and attitudes
- as well as user pathways
- new assistive technologies in the field of mental health
Web of Science subject categories (JCR Impact Factors)
- Health Care Sciences & Services
- Health Policy & Services
- Public, Environmental & Occupational Health