Publicação
GDHelper: Tools to Help the Diagnosis of Gaming Disorder
| Resumo: | The rise of esports has led to an increased focus on Internet Gaming Disorder (IGD), a condition recognized in the DSM-5 and ICD-11. Despite its growing prevalence, diagnosing IGD remains challenging due to the subjective nature of self-report questionnaires and the lack of consensus on diagnostic criteria. This thesis presents GDHelper, an interactive application designed to aid health professionals in diagnosing and treating IGD by integrating telemetry data from Counter-Strike 2 with psychological assessments. The primary goal of GDHelper is to provide a dynamic tool that enhances the accuracy and reliability of IGD diagnosis. The application builds on previous research by incorporating key metrics such as gameplay duration and session frequency into a user-friendly interface. The data automatically collected from online game platforms allows us to obtain objective in-game player behaviour, a historical view of gaming behaviour, and analysis of the evolution of the player behaviour and compare with behaviour patterns. This approach reduces the reliance on subjective self-reports and offers a more objective view of a player’s gaming habits. The development of GDHelper follows a user-centered methodology involving collaboration with experts in clinical psychology and gaming behavior, ensuring the tool’s relevance and effectiveness in clinical settings. The application supports regular data updates, facilitating informed discussions during clinical follow-ups. By providing a comprehensive analysis of gaming behavior, GDHelper aims to help more accurate diagnoses and effective treatment plans for individuals with IGD. A usability evaluation was conducted with three psychologists, revealing high usability for basic tasks and providing insights into areas for improvement. In conclusion, this thesis contributes to the ongoing research on IGD by offering a novel approach to its assessment. The integration of real-time game data with traditional assessment methods provides a more holistic understanding of gaming behaviors. The findings highlight the potential of GDHelper to improve the diagnosis and treatment of IGD, ultimately contributing to better mental health outcomes for affected individuals. |
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| Autores principais: | Jorge, Daniela da Costa |
| Assunto: | Perturbação de Jogos da Internet Telemetria de jogos Aplicações Web Counter-Strike 2 Esports Trabalhos de projeto de mestrado - 2024 |
| Ano: | 2024 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório da Universidade de Lisboa |
| Resumo: | The rise of esports has led to an increased focus on Internet Gaming Disorder (IGD), a condition recognized in the DSM-5 and ICD-11. Despite its growing prevalence, diagnosing IGD remains challenging due to the subjective nature of self-report questionnaires and the lack of consensus on diagnostic criteria. This thesis presents GDHelper, an interactive application designed to aid health professionals in diagnosing and treating IGD by integrating telemetry data from Counter-Strike 2 with psychological assessments. The primary goal of GDHelper is to provide a dynamic tool that enhances the accuracy and reliability of IGD diagnosis. The application builds on previous research by incorporating key metrics such as gameplay duration and session frequency into a user-friendly interface. The data automatically collected from online game platforms allows us to obtain objective in-game player behaviour, a historical view of gaming behaviour, and analysis of the evolution of the player behaviour and compare with behaviour patterns. This approach reduces the reliance on subjective self-reports and offers a more objective view of a player’s gaming habits. The development of GDHelper follows a user-centered methodology involving collaboration with experts in clinical psychology and gaming behavior, ensuring the tool’s relevance and effectiveness in clinical settings. The application supports regular data updates, facilitating informed discussions during clinical follow-ups. By providing a comprehensive analysis of gaming behavior, GDHelper aims to help more accurate diagnoses and effective treatment plans for individuals with IGD. A usability evaluation was conducted with three psychologists, revealing high usability for basic tasks and providing insights into areas for improvement. In conclusion, this thesis contributes to the ongoing research on IGD by offering a novel approach to its assessment. The integration of real-time game data with traditional assessment methods provides a more holistic understanding of gaming behaviors. The findings highlight the potential of GDHelper to improve the diagnosis and treatment of IGD, ultimately contributing to better mental health outcomes for affected individuals. |
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