Towards Machine Learning Driven Self-guided Virtual Reality Exposure Therapy Based on Arousal State Detection from Multimodal Data. - Muhammad Arifur Rahman; David J. Brown 001; Nicholas Shopland; Matthew C. Harris; Zakia Batool Turabee; Nadja Heym; Alexander Sumich; Brad Standen; David Downes; Yangang Xing; Carolyn Thomas; Sean Haddick; et al. (BI, 2022)

A Methodology for the Co-design of Shared VR Environments with People with Intellectual Disabilities: Insights from the Preparation Phase. - Matthew C. Harris; David J. Brown 001; Pratik S. Vyas; James Lewis 001 (HCI (8), 2022)

Methodology for Co-designing Learning Patterns in Students with Intellectual Disability for Learning and Assessment of Numeracy and Communication Skills. - Pratik S. Vyas; Romany Thakar; David J. Brown 001; Matthew C. Harris (HCI (8), 2022)

Co-designing Virtual Environments for People with Intellectual Disabilities to Assess Cognitive Decline: Methodology. - Matthew C. Harris; David J. Brown 001; Pratik S. Vyas; James Lewis 001; Bonnie Connor (HCI (44), 2023)

Enhancing biofeedback-driven self-guided virtual reality exposure therapy through arousal detection from multimodal data using machine learning. - Muhammad Arifur Rahman; David J. Brown 001; Mufti Mahmud; Matthew C. Harris; Nicholas Shopland; Nadja Heym; Alexander Sumich; Zakia Batool Turabee; Bradley Standen; David Downes; Yangang Xing; Carolyn Thomas; et al. (Brain Informatics, 2023)