The Identity-Location Binding Problem. - Piers Douglas Lionel Howe; Adam Ferguson (Cogn. Sci., 2015)

Explainable AI: Beware of Inmates Running the Asylum Or: How I Learnt to Stop Worrying and Love the Social and Behavioural Sciences. - Tim Miller 001; Piers Howe; Liz Sonenberg (CoRR, 2017)

Demand-Driven Transparency for Monitoring Intelligent Agents. - Mor Vered; Piers Howe; Tim Miller 001; Liz Sonenberg; Eduardo Velloso (IEEE Trans. Hum. Mach. Syst., 2020)

What interventions can decrease or increase belief polarisation in a population of rational agents? - Piers Douglas Lionel Howe; Andrew Perfors; Keith James Ransom (CogSci, 2021)

How effective is perceptual training? Evaluating two perceptual training methods on a difficult visual categorisation task. - Jessica Marris; Andrew Perfors; David Mitchell; Wayland Wang; Mark W. McCusker; Timothy John Haynes Lovell; Robert N. Gibson; Frank Gaillard; Piers Douglas Lionel Howe (CogSci, 2021)

Directive Explanations for Actionable Explainability in Machine Learning Applications. - Ronal Rajneshwar Singh; Paul Dourish; Piers Howe; Tim Miller 001; Liz Sonenberg; Eduardo Velloso; Frank Vetere (CoRR, 2021)

Hidden Experts in the Crowd: Using Meta-Predictions to Leverage Expertise in Single-Question Prediction Problems. - Tom Wilkening; Marcellin Martinie; Piers Douglas Lionel Howe (Manag. Sci., 2022)

Self-Censorship Appears to be an Effective Way of Reducing the Spread of Misinformation on Social Media. - Piers Howe; Andrew Perfors; Keith James Ransom; Bradley Walker; Nicolas Fay; Yoshihisa Kashima; Morgan Saletta (CogSci, 2023)

Testing the Effectiveness of Augmenting Perceptual Training With Annotations and Steps in a Difficult Visual Discrimination Task. - Jessica Marris; Andrew Perfors; Robert N. Gibson; Frank Gaillard; Piers Howe (CogSci, 2023)

The effects of explanations on automation bias. - Mor Vered; Tali Livni; Piers Douglas Lionel Howe; Tim Miller 001; Liz Sonenberg (Artif. Intell., 2023)

Directive Explanations for Actionable Explainability in Machine Learning Applications. - Ronal Singh; Tim Miller 001; Henrietta Lyons; Liz Sonenberg; Eduardo Velloso; Frank Vetere; Piers Howe; Paul Dourish (ACM Trans. Interact. Intell. Syst., 2023)

An Actionability Assessment Tool for Explainable AI. - Ronal Singh; Tim Miller 001; Liz Sonenberg; Eduardo Velloso; Frank Vetere; Piers Howe; Paul Dourish (CoRR, 2024)

An Actionability Assessment Tool for Enhancing Algorithmic Recourse in Explainable AI. - Ronal Singh; Tim Miller 001; Liz Sonenberg; Eduardo Velloso; Frank Vetere; Piers Howe (IEEE Trans. Hum. Mach. Syst., 2025)