In our work, we describe the current technological and interactional possibilities of these systems, as well as the future opportunities provided by these technologies. Components of EMI were found to include the selection of devices for the delivery of the intervention, the information delivery for intervention strategies, prompts to access intervention content, different types of feedback and tailoring, and training provided prior to the delivery of those interventions.
HCI and digital health often research projects involve participants and stakeholders to learn their experiences and views on various technology and health-related topics and issues. These activities also contribute to “Education and Public Engagement (EPE)”, which includes many and varied ways university staff and students engage with others outside the institution. One of them is the radio.
While technology is increasingly employed in healthcare, the COVID-19 outbreak is accelerating this transition. Being a patient in 2020 means that you may be screened, treated, or monitored with the assistance of a “smart technology”. This transition also impacts the general population, as governments are deploying tracing apps to enforce public health measures.
Health apps are already becoming a part of everyday life as accessible resources for personal health. Yet, to maximise the positive impact of these trends, it is important to ensure the privacy and security of users’ data that has been the subject of concern and controversy. Our recent review consolidated current research on the topic to support the design and evaluation of mHealth applications.
Going back in time, I can see myself as a student interacting with many teachers without ever imagining that I could find myself in that same role. As a PhD candidate, you have the opportunity to work as a Teaching Assistant and train yourself to become a teacher in addition to pursuing your research.
The fourth week of quarantine lockdown and work from home is rolling by both with its tough and beautiful sides. In Health Technology Design group, we are also rebuilding our work routine. In the form of an interview, this post compiles our opinions on three basic questions: what works, what doesn’t, and what are our thoughts on the future of our research?
In the 1984 classic “The Terminator”, the titular character (a Cyberdyne Systems Model 101) is sent back in time from 2029 to make sure Sarah Connor does not give birth to the person who is destined to defeat the robot uprising. However, the director refused to give the audience what it really wanted; Information on how algorithmic fairness can be applied to the Terminators decision-making process.
More blog posts of the research group members
- A smartwatch to support online therapy for depression
- Machine Learning for Outcome Prediction
- Special Issue of IEEE Pervasive on Mobile and Pervasive Computing in Mental Health
- Ecological Momentary Interventions
- Chairing ACM DSP
- Funded PhD in HCI and Digital Health
- The design of Ecological Momentary Assessment systems
- Machine Learning in Digital Mental Health – JAMA Network Open
- Paper on Machine Learning in Mental Health Accepted to ACM ToCHI
- Mobile health: how do researchers understand and measure user acceptance?
- Microsoft Research Funded PhD on Conversational User Interfaces for Mental Health
- Back to CHI – 300,000 clients later!
- Mini-conference – Culturally adaptating iCTB programs
- Design clinics @ iHCI ’19
- Honourable Mention at CHI ’19