Care Computing Group (CCG) is a research group led by Dr. Xianghua (Sharon) Ding within the GIST section of the School of Computing Science at the University of Glagow. We explore interactive and collaborative computing that can empower people, transform care, and enhance wellbeing. Such research is necessarily interdisciplinary, and our members are from diverse backgrounds, including computing science and engineering but also design, healthcare, psychology, automation, and more. We generally work in the areas of Human-Computer Interactions (HCI), Computer-Supported Cooperative Work (CSCW) and Ubiquitous Computing (Ubicomp), and often integrate ethnographic field work, and iterative co-design and co-development as part of our research of care computing.

Current Members

Xianghua (Sharon) Ding

Runs Care Computing Group, aiming to empower people for effective health data engagement and health management, with a particular interest in everyday healthy living, mental well-being, and self-management of chronic diseases.

Aleksandra Wruk

PhD student focusing on expectation and digital technology engagement for mental health and wellbeing.

Weiyun Wang

PhD student focusing on smart everyday objects for proactive healty living.

Jinling Huang

PhD student focusing on computing for Self-Management Support (SMS) to empower patients with chronic conditions.

Wei Sun

PhD student focusing on AI-assisted storytelling for mental wellbeing.

Yusen Zhang

PhD student focusing on Facial Expression Recognition for mental wellbeing assessment.

Wanshu Yu (as Secondary Supervisor)

PhD student focusing on digitally assisted peer support in mental health.

Lukas Moers

Master student focusing on LLM-empowered self-reflection.

Former Members

Research Intern

  • Kejin Yu (2024 summer), design and development of a smart pillow
  • Zhennan Yi (2023 summer), time management through a lens of a summer camp

Affilates

L4/L5 Supervisees

  • Jonathan Peter Kent (L5, 2023-2024), Chatbot for cardiovascular health assessment and education
  • Martina Karaskova (L5, 2023-2024), Facial Expression Recognition based mood tracking for digital wellbeing
  • Nathan Hutchison (L4, 2023-2024), Smartwatch based heart rate recovery tracking for sports
  • Lukas Gabriel Moers (L4, 2023-2024), Smartwatch based semi-automatic mood tracking
  • Libby Cornwall (L4, 2023-2024), Self-tracking application to assist osteoporosis management
  • David Gemmell (L4, 2023-2024), Peer support web application for mental wellbeing
  • Sharon Padippurackal (L4, 2023-2024), Gamification for time management
  • Cameron-Sproull, Harvey (L4, 2023-2024), CREATING AND EVALUATING AN ONLINE LEARNING AID FOR BEGINNER GUITARISTS
  • Hamza Shahid(L4, 2023-2024), Chatbot for osteroporosis management education
  • Emma Petrie (L4, 2023-2024), Application to support parental management of child health & development

© 2024