Gavin Doherty

Associate Professor

Trinity College Dublin

Ireland

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About

Gavin Doherty is an Associate Professor at Trinity College Dublin, Ireland. His research areas focus on the intersection of mental health and technology, with recent articles addressing topics such as conversational agent design, explainable AI frameworks, and the implementation of digital mental health interventions. He also explores user interaction with AI in healthcare, including chatbot experiences and patient acceptance of digital therapies.

Articles (19)

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2025

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2022

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2021

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2021

Collaborators (5)

Marjolein Fokkema

Associate Professor at Leiden University

Leiden University

NETHERLANDS

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Mirco Musolesi

Professor of Computer Science

University College London

UNITED KINGDOM

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Benjamin R. Cowan

Dublin City University

IRELAND

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Jorge Palacios

Trinity College Dublin

IRELAND

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Derek Richards

IRELAND

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Gavin Doherty

Research Interests

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Articles (19)

Mental health management as a social endeavour: Challenges and opportunities for conversational agent design

Designing, Implementing and Evaluating AI Explanations: a Scoping Review of Explainable AI Frameworks

Fairness Challenges in the Design of Machine Learning Applications for Healthcare

Exploring how politeness impacts the user experience of chatbots for mental health support

Between Rhetoric and Reality: Real-world Barriers to Uptake and Early Engagement in Digital Mental Health Interventions

Smartphone-based serious games for mental health: a scoping review

Designing Human-centered AI for Mental Health: Developing Clinically Relevant Applications for Online CBT Treatment

A Narrative Review of Factors Affecting the Implementation of Privacy and Security Practices in Software Development

Integrating Fairness in the Software Design Process: An Interview Study With HCI and ML Experts

Patient Acceptance of Self-Monitoring on Smartwatch in a Routine Digital Therapy: a Mixed-Methods Study

Attitudes Towards COVID-19 Contact Tracing Apps: A Cross-National Survey

Deep learning for the prediction of clinical outcomes in internet-delivered CBT for depression and anxiety

Mental State, Mood, and Emotion (Part 2)

Mental State, Mood, and Emotion

Pervasive Therapy: Designing Conversation-Based Interfaces for Ecological Momentary Intervention

Understanding users’ perspectives on mobile apps for anxiety management

Digital Interventions to Enhance Readiness for Psychological Therapy: Scoping Review

The promise of machine learning in predicting treatment outcomes in psychiatry

The Functionality of Mobile Apps for Anxiety: Systematic Search and Analysis of Engagement and Tailoring Features

Collaborators (5)

Marjolein Fokkema

Mirco Musolesi

Benjamin R. Cowan

Jorge Palacios

Derek Richards

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