Contact Details

Dr. Gavin Doherty
School of Computer Science and Statistics
Trinity College Dublin
Dublin 2.
Ireland.
+353 1 8963858
Gavin.Doherty @ tcd.ie

ACM Europe Council Award at CHI 2019

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.

Continue reading ACM Europe Council Award at CHI 2019

PhD positions on technology in mental health.

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) / . . . → Read More: PhD positions on technology in mental health.

Workshop on ML in Mental Health

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. Despite great potential, the realization of effective ML-enabled applications for mental health remains a hugely challenging area for research and development.

Continue reading Workshop on ML in Mental Health

Best paper and honorable mention awards at CHI 2019

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 . . . → Read More: Best paper and honorable mention awards at CHI 2019

Three papers at CHI 2019

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: . . . → Read More: Three papers at CHI 2019

Engagement in Human-Computer Interaction – ACM Computing Surveys

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:

K. Doherty and G. Doherty, Engagement in HCI: Conception, Theory and Measurement, ACM Computing Surveys 51(5), . . . → Read More: Engagement in Human-Computer Interaction – ACM Computing Surveys

200,000 users on World Mental Health day

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 . . . → Read More: 200,000 users on World Mental Health day

PhD Studentship on Mobile Interventions for Mental Health

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. Continue reading PhD Studentship on Mobile Interventions for Mental Health

Experience report on our summer school.

Last year we ran a summer school on e-Health together with KTH, supported by EIT Health, ACM SIGCHI, and the Adapt Centre. It was a great experience and we put together a short piece for ACM interactions on how it went.

Understanding Self-Report

Design is driven by our understanding of users’ experiences. This may involve users’ reports of their experiences, in the moment, after the fact, or ahead of time. Likewise many mental and behavioural health interventions rely on various forms of self report. In our new paper we look at how both design and health interventions . . . → Read More: Understanding Self-Report

EDGE Marie-Curie Postdoctoral fellowships.

A new call for EDGE Marie Skłodowska Curie postdoctoral research fellowships has opened. These are prestigious and well funded positions. Note that only applicants who have not been resident in Ireland over 12 months in the previous 3 years are eligible to apply (for specific guidance, see the application documents section of . . . → Read More: EDGE Marie-Curie Postdoctoral fellowships.

PhD Studentship in Mobile Applications to Support Emotion Regulation in Mental Health (Marie Curie ESR)

Marie Curie PhD Studentship in Mobile Applications to Support Emotion Regulation in Mental Health
We are seeking an excellent Early Stage Researcher (ESR) who must be eligible to enrol as a PhD.

Closing Date and Time:    5pm on 15/5/2017

The selected PhD student will be paid a gross annual salary of approximately €31,400 over a 3 year fixed term contract. They will also be entitled to a mobility allowance of approximately €6,500 per annum and potentially a family allowance where appropriate. The goal of the research is to investigate the role of self-reports in emotional sense making and self-regulation in mental health. This research will involve working to understand the self-management strategies and needs of people with mental health difficulties, and particularly bipolar disorder. Through the development and evaluation of innovative prototypes, it will look at the refinement and evaluation of different strategies for mobile self-reporting. Evaluations will explore the effectiveness of these strategies with respect to the different motivations for use of self-reports. It will involve work with both patients and clinical collaborators. Continue reading PhD Studentship in Mobile Applications to Support Emotion Regulation in Mental Health (Marie Curie ESR)