Abstract
In eHealth, engagement is viewed as an important factor in explaining why interventions are beneficial to some and not to others. However, a shared understanding of what engagement is and how to measure it, is missing. This paper presents the set-up of the development and initial validation of a new scale to measure engagement with eHealth interventions, based on scientific literature and interviews with users and experts. Furthermore, it presents the preliminary results of a systematic review, 11 interviews with engaged users and the first version of the new engagement scale. It is expected that the final scale, which will be based on theoretical and empirical research and focus on the different components of engagement, will enable researchers to investigate what features and forms of technology influence individuals' engagement and thereby pave the way to create more engaging technologies.
| Original language | English |
|---|---|
| Title of host publication | CHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems |
| Publisher | Association for Computing Machinery (ACM) |
| ISBN (Electronic) | 9781450359719 |
| DOIs | |
| Publication status | Published - 2 May 2019 |
| Event | 2019 CHI Conference on Human Factors in Computing Systems, CHI 2019: Weaving the threads of CHI - Scottish Event Campus, Glasgow, United Kingdom Duration: 4 May 2019 → 9 May 2019 Conference number: 1 https://chi2019.acm.org/ |
Conference
| Conference | 2019 CHI Conference on Human Factors in Computing Systems, CHI 2019 |
|---|---|
| Abbreviated title | CHI 2019 |
| Country | United Kingdom |
| City | Glasgow |
| Period | 4/05/19 → 9/05/19 |
| Internet address |
Keywords
- EHealth interventions
- Engagement
- Health apps
Cite this
}
Development and initial validation of a scale to measure engagement with eHealth technologies. / Kelders, Saskia M.; Kip, Hanneke.
CHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM), 2019. 3312917.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
TY - GEN
T1 - Development and initial validation of a scale to measure engagement with eHealth technologies
AU - Kelders, Saskia M.
AU - Kip, Hanneke
PY - 2019/5/2
Y1 - 2019/5/2
N2 - In eHealth, engagement is viewed as an important factor in explaining why interventions are beneficial to some and not to others. However, a shared understanding of what engagement is and how to measure it, is missing. This paper presents the set-up of the development and initial validation of a new scale to measure engagement with eHealth interventions, based on scientific literature and interviews with users and experts. Furthermore, it presents the preliminary results of a systematic review, 11 interviews with engaged users and the first version of the new engagement scale. It is expected that the final scale, which will be based on theoretical and empirical research and focus on the different components of engagement, will enable researchers to investigate what features and forms of technology influence individuals' engagement and thereby pave the way to create more engaging technologies.
AB - In eHealth, engagement is viewed as an important factor in explaining why interventions are beneficial to some and not to others. However, a shared understanding of what engagement is and how to measure it, is missing. This paper presents the set-up of the development and initial validation of a new scale to measure engagement with eHealth interventions, based on scientific literature and interviews with users and experts. Furthermore, it presents the preliminary results of a systematic review, 11 interviews with engaged users and the first version of the new engagement scale. It is expected that the final scale, which will be based on theoretical and empirical research and focus on the different components of engagement, will enable researchers to investigate what features and forms of technology influence individuals' engagement and thereby pave the way to create more engaging technologies.
KW - EHealth interventions
KW - Engagement
KW - Health apps
UR - http://www.scopus.com/inward/record.url?scp=85067307135&partnerID=8YFLogxK
U2 - 10.1145/3290607.3312917
DO - 10.1145/3290607.3312917
M3 - Conference contribution
BT - CHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery (ACM)
ER -