3 papers
cs.HC2026
Every(bot) Makes Mistakes: Coding Big Five Personalities, Context, and Tone into an LLM Chatbot Recovery Code Framework
Rachel Hill, Tom Owen, Julian Hough
Despite careful design involving classifiers, parameters, and safeguarding, errors during human/AI interaction are not rare. Poor error recovery can disrupt interaction flow, damag…
cs.HC2026
Translating Ethical Frameworks Into User-Centred Anti-Social Behaviour Interventions
Rachel Hill, Tom Owen, Julian Hough
In 2025 one million Anti-Social Behaviour (ASB) cases were recorded in England & Wales, impacting community cohesion. Statutory guidance presents punitive interventions that lack t…
cs.RO2026
Achieving Interaction Fluidity in a Wizard-of-Oz Robotic System: A Prototype for Fluid Error-Correction
Carlos Baptista De Lima, Julian Hough, Frank Förster +2
Achieving truly fluid interaction with robots with speech interfaces remains a hard problem, and the experience of current Human-Robot Interaction (HRI) remains laboured and frustr…