TAME Pain: Trustworthy AssessMEnt of Pain from Speech and Audio for the Empowerment of Patients. - Eike Schneiders; Jennifer Williams 001; Arya Farahi; Tina Seabrooke; Ganesh Vigneswaran; John Robert Bautista; Liz Dowthwaite; Anna-Maria Piskopani (TAS, 2023)

Predicting Acute Pain Levels Implicitly from Vocal Features. - Jennifer Williams 001; Eike Schneiders; Henry Card; Tina Seabrooke; Beatrice Pakenham-Walsh; Tayyaba Azim; Lucy Valls-Reed; Ganesh Vigneswaran; John Robert Bautista; Rohan Chandra; Arya Farahi (INTERSPEECH, 2024)

A Survey of Lay People's Willingness to Generate Legal Advice using Large Language Models (LLMs). - Tina Seabrooke; Eike Schneiders; Liz Dowthwaite; Joshua Krook; Natalie Leesakul; Jérémie Clos; Horia A. Maior; Joel E. Fischer (TAS, 2024)

Objection Overruled! Lay People can Distinguish Large Language Models from Lawyers, but still Favour Advice from an LLM. - Eike Schneiders; Tina Seabrooke; Joshua Krook; Richard Hyde; Natalie Leesakul; Jérémie Clos; Joel E. Fischer (CHI, 2025)