Dr Adrian Shatte’s primary research expertise is in the areas of mobile information systems, human-centred artificial intelligence, mHealth, and human-computer interaction.
Dr Shatte is currently an Associate Investigator on the Web and app-based Interventions to Reduce Eating Disorders (WIRED) project, funded by a $1.34M Medical Research Future Fund Million Minds Mission grant. Adrian’s other major research projects include harnessing social media and mHealth to predict, monitor and intelligently intervene in fathers’ postpartum adjustment, and schema: an open-source, distributed mobile platform for deploying mHealth research tools and interventions.
Adrian is currently a lecturer in information technology at Federation University Australia. He holds a PhD in information technology from James Cook University and a Graduate Certificate in Education (Tertiary Education) from Federation University.
An exploratory application of machine learning methods to optimize prediction of responsiveness to digital interventions for eating disorder symptoms
Combining kinetic orders for efficient S-System modelling of gene regulatory network
Critical measurement issues in the assessment of social media influence on body image
Efficacy of a transdiagnostic cognitive-behavioral intervention for eating disorder psychopathology delivered through a smartphone app: A randomized controlled trial
BackgroundAlthough effective treatments exist for diagnostic and subthreshold-level eating...
Filter feature selection based Boolean Modelling for Genetic Network Inference
Methods and Applications of Social Media Monitoring of Mental Health During Disasters: Scoping Review
The role of pre-existing knowledge and knowledge acquisition in internet-based cognitive-behavioural therapy for eating disorders
Understanding the role of positive body image during digital interventions for eating disorders: Secondary analyses of a randomized controlled trial
An efficient boolean modelling approach for genetic network inference
Can intelligent agents improve data quality in online questiosnnaires? A pilot study
We explored the utility of chatbots for improving data quality arising from collection via...
Cost Effective Annotation Framework Using Zero-Shot Text Classification
Dynamically regulated initialization for S-system modelling of genetic networks
From general language understanding to noisy text comprehension
Peer support of fathers on Reddit: Quantifying the stressors, behaviors, and drivers.
This article aimed to delineate the behavioral patterns of fathers in seeking and providing peer...
Usability Evaluation of a Cognitive-Behavioral App-Based Intervention for Binge Eating and Related Psychopathology: A Qualitative Study
Despite their promise as a scalable intervention modality for binge eating and related problems,...
A survey study of attitudes toward, and preferences for, e-therapy interventions for eating disorder psychopathology
Objective: E-therapy shows promise as a solution to the barriers that stand in the way of people...
E-Mental Health Interventions for the Treatment and Prevention of Eating Disorders: An Updated Systematic Review and Meta-Analysis
Objectives: E-mental health (digital) interventions can help overcome existing barriers that...
schema: An open-source, distributed mobile platform for deploying mHealth research tools and interventions
Background: Mobile applications for health, also known as 'mHealth apps', have experienced...
Social Media Markers to Identify Fathers at Risk of Postpartum Depression: A Machine Learning Approach
Postpartum depression (PPD) is a significant mental health issue in mothers and fathers alike;...
State-Based Markers of Disordered Eating Symptom Severity
Recent work using naturalistic, repeated, ambulatory assessment approaches have uncovered a range...
Machine learning in mental health: A scoping review of methods and applications
BackgroundThis paper aims to synthesise the literature on machine learning (ML) and big data...
A mobile app-based intervention for depression: End-user and expert usability testing study
Background: Despite the growing number of mental health apps available for smartphones, the...
Exploring the Transition to Fatherhood: Feasibility Study Using Social Media and Machine Learning
Background: Fathers’ experiences across the transition to parenthood are underreported in the...
Retention strategies in longitudinal cohort studies: A systematic review and meta-analysis
Background: Participant retention strategies that minimise attrition in longitudinal cohort...
Untangling the edits: User attribution in collaborative report writing for emergency management
This paper describes the progress of our ongoing research into collaborative report writing for...
Web-based collaborative document writing for emergency management
This paper describes the progress of our research into collaborative document writing for...
Multi-synchronous collaboration between desktop and mobile users: a case study of report writing for emergency management
The development of multi-synchronous decision support systems to facilitate collaboration...
Hand-held mobile augmented reality for collaborative problem solving: A case study with sorting
Due to the advances in mobile technology, mobile augmented reality has been widely used for many...
Mobile augmented reality based context-aware library management system
Mobile augmented reality has gained popularity in recent years due to the technological advances...
The impact of dynamic locking on collaborative programming
The parallel strategy of collaborative writing is commonly used by academia and industry....
Context-aware mobile augmented reality for library management
Mobile augmented reality applications aim to simplify everyday tasks by providing additional...