Please join us for the next School of Computer Science seminar
“If It Doesn’t Work for Me as a Researcher, Let Alone Others”: Understanding Wellbeing Through an Autoethnography of Wearable and Non-Wearable Technologies
Dr Sirin Roomkham
Lecturer in Computer Science, School of Computer Science, QUT
Abstract
Wellbeing plays a crucial role in our daily lives, yet achieving or maintaining it remains a complex phenomenon, even for researchers. Capturing wellbeing data through wearable and non-wearable technologies to understand the state of “Feeling good” poses significant challenges, requiring careful consideration of various factors. This autoethnographic study reflects on personal experiences with wellbeing data to explore the possibilities and limitations of these technologies. Within the constraints of limited time, resources, and circumstances, this study aims to 1) Investigate the potential and challenges of using wearable and non-wearable technologies for managing wellbeing; 2) Derive lessons from personal reflections to understand how multimodal data can provide meaningful insights and reshape the interpretation of wellbeing. The findings provide valuable insights into the integration of wearable and non-wearable data and offer directions for future research, particularly in designing technologies that enhance the understanding and quality of wellbeing.
Bio
Dr. Sirin Roomkham is an academic at the School of Computer Science. Her research focuses on mobile applications, IoT, digital health, and inclusive technologies, with particular interest in sleep monitoring, wellbeing, and accessibility. She is passionate about engaging underrepresented communities through technology and education, and has led projects on gender equity in computing, ubiquitous applications/systems, and IoT for health and wellbeing.
Details:
| Location: | QUT Gardens point Campus, S Block, level 6, Room S637 [link to map] |
| Start Date: | 19/06/2025 [add to calendar] |
| Start Time: | 10:30am |
| End Date: | 19/06/2025 |
| End Time: | 11:30am |
| Organiser: | School of Computer Science and Digital Wellbeing Lab |