Gavin Doherty

ORCID: 0000-0002-9617-7008
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Digital Mental Health Interventions
  • Mental Health Research Topics
  • Impact of Technology on Adolescents
  • Innovative Human-Technology Interaction
  • Mobile Health and mHealth Applications
  • Usability and User Interface Design
  • Technology Use by Older Adults
  • Speech and dialogue systems
  • Business Process Modeling and Analysis
  • Mental Health Treatment and Access
  • Child Development and Digital Technology
  • Multimedia Communication and Technology
  • Semantic Web and Ontologies
  • Persona Design and Applications
  • Data Visualization and Analytics
  • Privacy, Security, and Data Protection
  • Mental Health via Writing
  • Human-Automation Interaction and Safety
  • Digital Games and Media
  • Behavioral Health and Interventions
  • Context-Aware Activity Recognition Systems
  • Advanced Software Engineering Methodologies
  • Maternal Mental Health During Pregnancy and Postpartum
  • Service-Oriented Architecture and Web Services
  • Identity, Memory, and Therapy

Trinity College Dublin
2015-2024

SilverCloud (Ireland)
2016-2023

Royal College of Physicians of Ireland
2004

The University of Adelaide
2002

Rutherford Appleton Laboratory
2001

Science and Technology Facilities Council
2001

University of York
1997-2000

For many years, psychiatrists have tried to understand factors involved in response medications or psychotherapies, order personalize their treatment choices. There is now a broad and growing interest the idea that we can develop models decisions using new statistical approaches from field of machine learning applying them larger volumes data. In this pursuit, there has been paradigm shift away experimental studies confirm refute specific hypotheses towards focus on overall explanatory power...

10.1002/wps.20882 article EN World Psychiatry 2021-05-18

High prevalence of mental illness and the need for effective health care, combined with recent advances in AI, has led to an increase explorations how field machine learning (ML) can assist detection, diagnosis treatment problems. ML techniques potentially offer new routes patterns human behavior; identifying symptoms risk factors; developing predictions about disease progression; personalizing optimizing therapies. Despite potential opportunities using within health, this is emerging...

10.1145/3398069 article EN ACM Transactions on Computer-Human Interaction 2020-07-07

Background Designing technologies that users will be interested in, start using, and keep using has long been a challenge. In the health domain, question of technology acceptance is even more important, as possible intrusiveness could lead to patients refusing try them. Developers researchers must address this not only in design evaluation new care but also across different stages user’s journey. Although range definitions for these exists, many conflate related terms, field would benefit...

10.2196/17256 article EN cc-by Journal of Medical Internet Research 2020-07-06

Objective To evaluate the feasibility of automatically assessing Social Rhythm Metric (SRM), a clinically-validated marker stability and rhythmicity for individuals with bipolar disorder (BD), using passively-sensed data from smartphones. Methods Seven patients BD used smartphones 4 weeks passively collecting sensor including accelerometer, microphone, location, communication information to infer behavioral contextual patterns. Participants also completed SRM entries smartphone app. Results...

10.1093/jamia/ocv200 article EN Journal of the American Medical Informatics Association 2016-03-14

In the last decade, number of articles on HCI and health has increased dramatically. We extracted 139 papers depression, anxiety bipolar issues from 10 years SIGCHI conference proceedings. 72 these were published in two years. A systematic analysis this growing body literature revealed that most innovation happens automated diagnosis, self-tracking, although there are innovative ideas tangible interfaces. noted an overemphasis data production without consideration how it leads to fruitful...

10.1145/3290605.3300475 article EN 2019-04-29

Online mental health interventions can benefit people experiencing a range of psychological difficulties, but attrition is major problem in real-world deployments. We discuss strategies to reduce attrition, and present SilverCloud, platform designed provide more engaging online experiences. The paper presents the results practice-based clinical study which 45 clients 6 therapists used an Cognitive Behavioural Therapy programme for depression. Pre post-treatment assessments, using Beck...

10.1145/2207676.2208602 article EN 2012-05-05

Journal Article Design and evaluation guidelines for mental health technologies Get access Gavin Doherty, Doherty * Trinity College Dublin, Dublin 2, Ireland Corresponding author. Tel.: +353 1 8963858; mobile: 87 7952927; fax: 6772204. E-mail addresses:Gavin.Doherty@cs.tcd.ie (G. Doherty), David.Coyle@cs.tcd.ie (D. Coyle), Mark.Matthews@tcd.ie (M. Matthews). Search other works by this author on: Oxford Academic Google Scholar David Coyle, Coyle Mark Matthews Interacting with Computers,...

10.1016/j.intcom.2010.02.006 article EN Interacting with Computers 2010-03-02

The cost to society of mental illness is substantial. A large scale international study has identified illnesses as the second leading cause disability and premature mortality in developed world [Murray, C.L., Lopez, A.D. (Eds.), 1996. Global Burden Disease: comprehensive assessment from disease, injuries, risk factors 1990 projected 2020. Harvard University, Cambridge, MA]. Unfortunately, research also suggests that majority people suffering treatable health disorders do not have access...

10.1016/j.intcom.2007.02.001 article EN Interacting with Computers 2007-02-28

Mental illness is a significant and growing problem throughout the world. Many mental health problems have their root in childhood, early intervention recommended. Engaging young people psychotherapeutic activities challenging, treatment adherence often poor. This paper presents series of studies carried out as part development mobile online symptom tracking tool for adolescents with problems. Teenagers use system to record symptoms on phones can view this information clinical setting...

10.1145/1978942.1979379 article EN 2011-05-07

The need to provide effective mental health treatments for adolescents has been described as a global public challenge [27]. In this paper we discuss the exploratory evaluations of first adolescent intervention fully integrate computer game implementing Cognitive Behavioural Therapy. Three distinct studies are presented: detailed evaluation in which therapists independent design team used with 6 experiencing clinical anxiety disorders; study member 15 adolescents; and finally assessing...

10.1145/1978942.1979378 article EN 2011-05-07

<h3>Importance</h3> The mechanisms by which engagement with internet-delivered psychological interventions are associated depression and anxiety symptoms unclear. <h3>Objective</h3> To identify behavior types based on how people engage an internet-based cognitive behavioral therapy (iCBT) intervention for of anxiety. <h3>Design, Setting, Participants</h3> Deidentified data 54 604 adult patients assigned to the Space From Depression Anxiety treatment program from January 31, 2015, March 2019,...

10.1001/jamanetworkopen.2020.10791 article EN cc-by-nc-nd JAMA Network Open 2020-07-17

Abstract Ecological Momentary Assessment (EMA) methods and technologies, designed to support the self-report of experience in moment daily life, have long been considered poised revolutionize human-centred research, practice design mental healthcare. The history EMA is inextricably linked technology, mobile devices embody many characteristics required these methods. However, significant barriers adoption systems remain, including challenges user engagement, reporting burden, data validity...

10.1093/iwcomp/iwaa019 article EN cc-by Interacting with Computers 2020-05-01

Recent advances in AI and machine learning (ML) promise significant transformations the future delivery of healthcare. Despite a surge research development, few works have moved beyond demonstrations technical feasibility algorithmic performance. However, to realize many ambitious visions for how can contribute clinical impact requires closer design study tools or interventions within specific health care contexts. This article outlines our collaborative, human-centered approach developing...

10.1145/3564752 article EN ACM Transactions on Computer-Human Interaction 2022-10-07

Although mental health problems increase markedly during adolescent years, therapists often find it difficult to engage with adolescents. The majority of disturbed adolescents do not receive professional care and those who fewer still will fully the therapeutic process (Offer et al. 1991; US Surgeon General 1999). Personal Investigator (PI) is a 3D computer game specifically designed help overcome such as depression them more easily services. PI an implementation new mediated model for how...

10.1108/17415650580000034 article EN Interactive Technology and Smart Education 2005-05-31

Mobile phones may provide a useful and engaging platform for supporting therapeutic services working with adolescents. This paper examines the potential benefits of mobile phone self-charting moods in comparison to existing methods current practice. The describes application designed by authors which allows adolescents record on their personal phones. propose that device is more suitable than other devices. A pilot study non-clinical adolescent group schools comparing diary presented, along...

10.1080/03069880801926400 article EN British Journal of Guidance and Counselling 2008-03-19

There are clear advantages to internet-delivered interventions for depression. Users' perspectives on the acceptability, satisfaction, and efficacy of an treatment depression can inform future developments in area.Respondents (n = 281) were participants 8 week supported Cognitive Behaviour Therapy depressive symptoms. Self-report online questionnaires gathered quantitative qualitative data user experience.Most respondents satisfied with programme 191), felt 203), reported positive gains...

10.1016/j.invent.2016.06.007 article EN cc-by-nc-nd Internet Interventions 2016-06-29

Online mental health interventions are increasingly important in providing access to, and supporting the effectiveness of, treatment. While these technologies effective, user attrition early disengagement key challenges. Evidence suggests that integrating a human supporter into such services mitigates challenges, however, it remains under-studied how involvement benefits client outcomes, to maximize effects. We present our analysis of 234,735 messages discover different support strategies...

10.1145/3313831.3376341 article EN public-domain 2020-04-21

Anxiety disorders are the most common type of mental health problem. The potential apps to improve has led an increase in number anxiety available. Even though hold enhance care for individuals, there is relatively little knowledge concerning users' perspectives. This mixed-methods study aims understand nature user burden and engagement with (MHapps) targeting management, order identify ways design these apps. Users' perspectives on were gathered by analyzing 600 reviews from 5 app stores...

10.3389/fdgth.2022.854263 article EN cc-by Frontiers in Digital Health 2022-09-01
Coming Soon ...