Ecological Momentary Interventions

The original vision of Ecological Momentary Interventions (EMI) – brief interventions delivered in the moment during daily life – were put forward over a decade ago. In the interim, the arrival of the smartphone has made these interventions far more feasible to deploy. At this point, it is timely to examine whether the original vision of these systems has been realised, and furthermore has the concept of EMI shifted to incorporate further possibilities opened up by these technologies? With Stephen Schueller, University of California, Irvine, and Prof.… Read more

The design of Ecological Momentary Assessment systems

Smartphones have made it easier than ever to ask people questions “in the moment” about their feelings and activities, as they go about their daily lives. This approach, described as Ecological Momentary Assessment, is a topic of interest to researchers in a range of disciplines, including HCI, design, psychology, and mental health. But what are our options in designing these systems? In this inter-disciplinary narrative review of 342 papers, published in Interacting with Computers, we examine the challenges, choices and options facing designers of these systems.… Read more

Machine Learning in Digital Mental Health – JAMA Network Open

Engagement is one of the primary challenges in the design of digital health interventions, however interaction with these interventions is complex, and can be difficult to characterise. In this paper, we explore the use of machine learning techniques to analyse engagment in digital mental health interventions. The work was carried out in collaboration with researchers in Microsoft Research, SilverCloud Health, and TCD School of Psychology.

Chien I, Enrique A, Palacios J, Regan, T., Keegan, D., Carter, D., Tschiatschek S., Nori, A.,… Read more

Paper on Machine Learning in Mental Health Accepted to ACM ToCHI

Machine Learning can be expected to have a significant impact on the field of mental health in the coming years. Researchers in computing have been exploring the potential of these systems, looking at a variety of data sources ranging from sensor based systems to electronic health records. In this paper, we review work in the computing literature, and advocate for a more human-centered approach, in order to ethically and effectively realise the potential of these systems.

A. Thieme, D. Belgrave & G.… Read more

Back to CHI – 300,000 clients later!

At CHI 2012, we presented the first exploratory study, with 45 clients, of the SilverCloud platform for online interventions. Eight years, and over 300,000 clients later, we will be presenting two very different papers which increase our understanding of how iCBT works in practice at CHI2020. The first is a machine learning study based on analysis of 234,735 clinical supporter messages, in collaboration with researchers at Microsoft Research Cambridge (Prerna Chikersal, Danielle Belgrave and Anja Thieme), and the SilverCloud Health clinical team (A.… Read more

Personal Information in Public Health

Using personal data in mHealth apps for public health requires navigating a range of design tensions, and the area of perinatal mental health is a particularly complex setting. We explore the balance between the many concerns and constraints affecting the design of these systems (both patient and clinician interfaces), in a new (open access) paper in the International Journal of Human-Computer Studies https://doi.org/10.1016/j.ijhcs.2019.102373. The work was carried out as part of a collaboration between ourselves at Trinity College Dublin and researchers at the School of Public Health at Imperial College London, with Marguerite Barry at UCD & Cecily Morrison at Microsoft Research Cambridge.… Read more

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 stock of a decade of studies and charting future research directions(PDF).… Read more

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: 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

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 might be better informed by attending more carefully to differences between different forms of self-report.

Kevin Doherty, Gavin Doherty, The construal of experience in HCI: Understanding self-reports, In International Journal of Human-Computer Studies, Volume 110, 2018, Pages 63-74,  https://doi.org/10.1016/j.ijhcs.2017.10.006Read more

Paper accepted to CHI 2017

UPDATE: This paper has received a Best Paper award (top 1% of 2400 submissions)! We will be presenting a paper titled “m-Health for Maternal Mental Health: Everyday wisdom in Ethical Design” at CHI 2017 in Denver. The paper is the result of a collaborative project with the School of Public Health at Imperial College London. CHI is the leading venue internationally for HCI research, and extremely competitive, with well over two thousand paper submissions per year. Congratulations to Marguerite Barry and Kevin Doherty particularly.… Read more