Zwan, Patrick, P.T. van der (2020) Tracking Cognition over Time with a Smartphone Game. Master's Thesis / Essay, Human-Machine Communication.
|
Text
mHMC_2020_vanderZwanPT.pdf Download (2MB) | Preview |
|
![[img]](https://fse.studenttheses.ub.rug.nl/style/images/fileicons/text.png) |
Text
toestemming.pdf Restricted to Registered users only Download (125kB) |
Abstract
Depression is becoming an increasingly common mental health disease. It can be difficult to notice symptoms of depression, and people often experience several barriers when seeking professional help. Not only is depression a burden on someone’s health, but it can take a long time before a relapse in depression is acknowledged, which further delays taking action to seek professional help again. There seems to be a need for a mechanism to monitor the development of symptoms of depression. In this study, we examined the performance on a smartphone game over time while keeping track of the participant’s mood and mental health via short mood reports. Participants played a smartphone puzzle game for 14 consecutive days, for two sessions of five minutes each day. A small mood report was administered each session, and a pre-test and post-test were conducted, both consisting of depression-related questionnaires. We found that participants performed better in the smartphone game when they were more concentrated and rated their self-worth higher. Participants remembered more rules and made less errors. In contrast, participants with a higher depression score on the PHQ-9 questionnaire also performed better in the smartphone game: they completed more rules and levels, and remembered more rules. These findings provide interesting possibilities for future research, such as tracking cognition in a clinical sample.
| Item Type: | Thesis (Master's Thesis / Essay) |
|---|---|
| Supervisor name: | Taatgen, N.A. and Vugt, M.K. van |
| Degree programme: | Human-Machine Communication |
| Thesis type: | Master's Thesis / Essay |
| Language: | English |
| Date Deposited: | 26 Oct 2020 09:26 |
| Last Modified: | 26 Oct 2020 09:26 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/23532 |
Actions (login required)
 |
View Item |