FSD3798 Health and Digital Gaming: Follow-up Gamer Interviews 2022
The dataset is (D) available only by permission from the data depositor/creator.
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Authors
- Karhulahti, Veli-Matti (University of Jyväskylä)
- Siutila, Miia (University of Jyväskylä. University of Turku)
- Kauraoja, Valtteri (University of Jyväskylä)
- Malinen, Ville (University of Jyväskylä)
Keywords
addiction, compulsive gaming, digital games, electronic sports, internet addiction, interpersonal relationships, leisure time activities
Abstract
The dataset consists of interview transcripts with people who spend a lot of time playing video games. The interviewees include people who play video games competitively for at least 30 hours a week and people who have sought help for compulsive gaming. The interviews are follow-up interviews, and the same individuals were interviewed for the first time a year earlier. For the dataset containing the first round of interviews, see dataset FSD3678 archived at FSD.
In the first part of the follow-up interviews, the interviewees were asked whether there had been any changes in their digital gaming habits compared to a year ago. The interviewees were also asked about any changes in their career, family and friends. Next, they were asked to give a day-by-day description of what a normal week of digital gaming was like for them and to describe in as much detail as possible one digital gaming experience from the previous month. Additionally, the interviews included questions about the interviewees' other hobbies and their satisfaction with their current job. In relation to gaming, the interviewees were asked whether they felt that they spent too much time playing digital games.
Background information included, among others, the interviewee's gender, information on which interviewee group the interviewee was part of, and the date of the interview. The interview identifier makes it possible to compare data between each interviewee's first interview and follow-up interview. The data were organised into an easy to use HTML version at FSD.
Study description in machine readable DDI-C 2.5 format
Metadata record is licensed under a Creative Commons Attribution 4.0 International license.