Matthew R Bennion

Matthew R Bennion
The University of Sheffield | Sheffield · Department of Computer Science (Faculty of Engineering)

Doctor of Philosophy

About

16
Publications
6,731
Reads
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205
Citations
Introduction
Research Interests: NHS, Mental Health, Digital, E-therapies, internet interventions, Chatbots, Conversational Agents, Artificial Intelligence, Empathy Agents, Virtual Agents, resilience.
Additional affiliations
October 2014 - July 2019
The University of Sheffield
Position
  • PhD Student
Education
October 2020 - December 2022
Aston University
Field of study
  • Healthcare Management
October 2014 - March 2019
The University of Sheffield
Field of study
  • Multidisciplinary Psychology and Computer Science
September 2011 - October 2013
Staffordshire University
Field of study
  • Health Informatics

Publications

Publications (16)
Article
Full-text available
Methods to facilitate co-production in mental health are important for engaging end users. As part of the Technology for Healthy Aging and Wellbeing (THAW) initiative we organized two interactive co-production workshops, to bring together older adults, health and social care professionals, non-governmental organizations, and researchers. In the fir...
Article
Full-text available
Background There is a disconnect between the ability to swiftly develop e-therapies for the treatment of depression, anxiety, and stress, and the scrupulous evaluation of their clinical utility. This creates a risk that the e-therapies routinely provided within publicly funded psychological health care have evaded appropriate rigorous evaluation in...
Article
Full-text available
Background: The usability and effectiveness of conversational agents (chatbots) that deliver psychological therapies is under-researched. Objective: This study aimed to compare the system usability, acceptability, and effectiveness in older adults of 2 Web-based conversational agents that differ in theoretical orientation and approach. Methods:...
Article
Full-text available
Objective To document the quality of web and smartphone apps used and recommended for stress, anxiety or depression by examining the manner in which they were developed. Design The study was conducted using a survey sent to developers of National Health Service (NHS) e-therapies. Data sources Data were collected via a survey sent out to NHS e-the...
Preprint
BACKGROUND It is well established that frontline healthcare staff are particularly at risk of stress. Resilience is important to help staff to manage daily challenges and to protect against burnout. OBJECTIVE The aim of the current study was to develop and assess the usability and user perceptions of a digital learning package. The training aimed...
Preprint
BACKGROUND The disconnect between the ability to swiftly development e-therapies for the treatment of anxiety and depression and the evaluation of their clinical efficacy, means that many e-therapies in routine use in the National Health Service (NHS) in the United Kingdom have skipped appropriate rigorous evaluation. OBJECTIVE To conduct a meta-a...
Preprint
BACKGROUND Psychological e-therapies can be delivered using conversational agents (“chatbots”) that verbally mimic traditional therapeutic interactions. OBJECTIVE To compare the usability, acceptability and effectiveness in older adults of two web-based conversational agents with differing theoretical foundations. METHODS In a randomised study, N...
Article
Full-text available
Background: Individuals living with long-term physical health conditions frequently experience co-occurring mental health problems. This comorbidity has a significant impact on an individual’s levels of emotional distress, health outcomes, and associated health care utilization. As health care services struggle to meet demand and care increasingly...
Poster
Full-text available
Generation and Rating of the EA Response Bank • Response bank generated by service users via online survey presenting 5 different SU scenarios; • Responses then screened for duplicates and usability by research team and rated by service users via online survey; • Responses then rated by SUs via online survey to generate ratings to be used in develo...
Preprint
Full-text available
BACKGROUND Individuals living with long-term physical health conditions frequently experience co-occurring mental health problems. This comorbidity has a significant impact on individual’s levels of emotional distress, health outcomes and associated healthcare utilization. As healthcare services struggle to meet demand and care increasingly moves t...
Article
Full-text available
Objective: To document the range of web and smartphone apps used and recommended for stress, anxiety or depression by the National Health Service (NHS) in England. Design: The study was conducted using Freedom of Information (FOI) requests and systematic website searches. Data sources: Data were collected via FOI requests to NHS services betwe...
Article
OBJECTIVE: To document the range of web and smartphone apps used and recommended for stress, anxiety or depression by the National Health Service (NHS) in England. DESIGN: The study was conducted using Freedom of Information (FOI) requests and systematic website searches. DATA SOURCES: Data were collected via FOI requests to NHS services between 13...

Questions

Questions (2)
Question
An evolution has taken place over a number of years as we've progressed from predominantly web based interventions for mental health to mobile apps . There have also been a number of VR interventions in recent years but where next?
Question
I'm just wondering what peoples thoughts are on this. One meta-analysis I read Powers et al (2009) suggested it was more positive and outperformed CBT but not when treating depression and anxiety.

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