Abstract
The purpose of this research is to explore the factors affecting intention to use a mobile application for mental health in South Korea. Based on the Health Belief Model and Extended Technology Acceptance Model, this research aims to advance our understanding of mobile app adoption for mental health. A total of 218 men and women participated in an online survey. Results showed that perceived usefulness and perceived ease of use had significant effects on all stages of behavioral intention: app subscription, information seeking, information sharing, and following recommendations. Subjective norm and output quality were also significant predictors for intention to use a mobile app. Results provide useful insights for utilization of mobile apps to address mental health issues in Korean society.
| Original language | English |
|---|---|
| Title of host publication | Wireless Mobile Communication and Healthcare - 7th International Conference, MobiHealth 2017, Proceedings |
| Editors | Amir M. Rahmani, Nima TaheriNejad, Paolo Perego |
| Publisher | Springer Verlag |
| Pages | 29-37 |
| Number of pages | 9 |
| ISBN (Print) | 9783319985503 |
| DOIs | |
| State | Published - 2018 |
| Event | 7th International Conference on Wireless Mobile Communication and Healthcare, MobiHealth 2017 - Vienna, Austria Duration: 14 Nov 2017 → 15 Nov 2017 |
Publication series
| Name | Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST |
|---|---|
| Volume | 247 |
| ISSN (Print) | 1867-8211 |
Conference
| Conference | 7th International Conference on Wireless Mobile Communication and Healthcare, MobiHealth 2017 |
|---|---|
| Country/Territory | Austria |
| City | Vienna |
| Period | 14/11/17 → 15/11/17 |
Bibliographical note
Publisher Copyright:© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Extended Technology Acceptance Model
- Mental health
- Mental health app
- Mobile app
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