Together with collaborators Anja Thieme, Danielle Belgrave at Microsoft Research Cambridge, and Akane Sano at Rice University, we’ve written a short article for ACM interactions reflecting on the topics discussed at our workshop on Machine Learning in Mental Health at the ACII Conference on Affective Computing & Intelligent Interaction in Cambridge in September. Thanks to all the speakers and participants!
I was very happy to participate in the REA Cluster Event on Personalised Medicine at the Instituto de Salud Carlos III in Madrid on the 5th-6th November, on behalf of the AffecTech project. The meeting was organised by Laurence Marrama-Rakatoarivony. As well as hearing about the variety of innovative work being carried out across a number of Marie Skłodowska-Curie Actions (MSCA) Innovative Training Networks (ITN’s), a series of roundtable discussions between policy makers and researchers explored key topics relating to the future of personalised medicine.… Read more
I’m delighted to be named as a Distinguished Member of the Association for Computing Machinery (ACM), the world’s largest and most prestigious association of computing professionals. The recognition was for Outstanding Scientific Contributions to Computing, and I was one of five European researchers included.
We were surprised and delighted to receive the ACM Europe Council sponsored award for best paper at CHI 2019! The award-winning paper was selected amongst the 29 Best Paper Award winners at CHI 2019 (themselves selected as the top 1% of 2960 submissions), by members of the CHI 2019 Best Paper Selection Committee. The award acknowledges groundbreaking research for its importance and contribution to the area and to highlight theoretical and practical innovations that are likely to shape the future of computing both in Europe and worldwide.… Read more
We are currently looking to recruit PhD students as part of a Science Foundation Ireland Centre for Research Training. I am interested in the topic of Technology for Mental Health. Positions to start September 2019.
Available topics include: Psychological self-report with wearable technology
Supervision Team: Gavin Doherty, Trinity College Dublin (University of Dublin) / David Coyle, University College Dublin
Description: There has been much interest recently in the design of technologies to support the delivery of mental healthcare, looking at many different aspects ranging from assessment and diagnosis, through intervention and long term self-monitoring.… Read more
Machine Learning for the Diagnosis and Treatment of Affective Disorders (ML4AD)
CfP: ACII 2019 WORKSHOP, 3rd SEPTEMBER, CAMBRIDGE UK
In recent years, there has been an increase in interest and explorations of the use of machine learning (ML) to assist in the diagnosis of mental health problems; and for improving access to, engagement with, and the outcomes of, therapeutic treatment. Research has started to explore the identification of mental health problems through inferences about peoples’ behaviours on social media, online searches, or mobile phone app uses; as well as varied approaches to assess, or continuously monitor, a person’s mental health and related symptoms by measuring sleep, mood, stress, social or physical activity via audio, visual or physiological signal processing.… Read more
We are delighted to announce a best paper award (top 1% of 2960 submissions) for our paper “Engagement with Mental Health Screening on Mobile Devices: Results from an Antenatal Feasibility Study” at CHI 2019 (PDF). We have also received an honorable mention award (top 5%) for our paper “HCI and Affective Health: Taking stock of a decade of studies and charting future research directions” (PDF).… Read more
We are delighted that three research papers have been accepted for presentation at CHI 2019! ACM CHI is the highest profile competitive venue for publishing HCI research – there were just under 3000 paper submissions this year.
The first is based on our collaboration with Imperial College London on antenatal mental health screening: K. Doherty, J. Marcano-Belisario, M. Cohn, N. Mastellos, C. Morrison, J. Car, and G. Doherty. 2019. Engagement with Mental Health Screening on Mobile Devices: Results from an Antenatal Feasibility Study.… Read more
Much of our work concerns the topic of user engagement, but there are many ways of defining and measuring the concept. We have just published a systematic review of the different conceptions of engagement in the HCI literature:
On World Mental Health day, we announced reaching the milestone of 200,000 people who have used the SilverCloud platform to access online mental and behavioural health programs. This is an amazing achievement for all of the team involved and a great example of interdisciplinary research with an impact. The company emerged directly from work we have carried out over the last 15 years, and particularly our Technology Enhanced Therapy project between TCD, the NDRC, and the ParentsPlus charity.
We are truly humbled to announce that today we passed the milestone of 200,000 users on our platform.
School of Computer Science and Statistics, Trinity College Dublin.
Mental and behavioural health conditions pose a major challenge to healthcare providers and society at large. It is generally accepted that mental health services are struggling to meet the needs of existing audiences as well as failing to reach large proportions of those in need. Technologies can help both to improve access to treatment, and help people to engage with treatment.… Read more