Christopher Bull

About

I am interested in the sensing, understanding, and actioning of digital health data to radically transform how people live their lives. My research interests lie in designing, developing, and evaluating secure health informatics and cybernetics platforms and ecosystem elements as a digital health infrastructure—crossing software engineering and pervasive technologies. This includes digital phenotyping, assistive and diagnostic healthcare technologies, and systems for healthcare professionals. I use co-design/creation methods to create solutions applicable to patients, service users, and health professionals. I have an interest in the ethical challenges of healthcare technologies and applying mixed methods to complex problems.

Selected publications

• Technology Acceptance of 2 mHealth Apps During an Observational Technology Evaluation Study: Qualitative Results of a Mixed Methods Study
• LLMs Integration in Software Engineering Team Projects: Roles, Impact, and a Pedagogical Design Space for AI Tools in Computing Education
• IDEA-FAST clinical study protocol: Identifying digital end-points of fatigue, sleep quality and daytime sleepiness in N = 2000
• Role of Augmented Reality in Tertiary Care: Qualitative Investigation Using Thematic Analysis
• Designs and Interactions for Near-Field Augmented Reality: A Scoping Review
• Smartphone Apps for Food Purchase Choices: Scoping Review of Designs, Opportunities, and Challenges
• Generative AI Assistants in Software Development Education: A vision for integrating Generative AI into educational practice, not instinctively defending against it
• Technology acceptance of digital devices for home use: Qualitative results of a mixed methods study
• Reverse Engineering of Digital Measures: Inviting Patients to the Conversation
• Regulatory Qualification of a Cross-Disease Digital Measure: Benefits and Challenges from the Perspective of IMI Consortium IDEA-FAST