Richard Hyde

According to our database, Richard Hyde authored at least 10 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, 2024

Not the Law's First Rodeo: Towards regulating trustworthy collaborative industrial embodied autonomous systems.

Natalie Leesakul, Jérémie Clos, Richard Hyde

Proceedings of the Second International Symposium on Trustworthy Autonomous Systems, 2024

Design and Evaluation of a Tool to assist Small-Medium Organisations (SMOs) to implement Automated Decision-Making (ADM).

Kathryn Baguley, Joel E. Fischer, Richard Hyde

Proceedings of the Second International Symposium on Trustworthy Autonomous Systems, 2024

2023

AGRITRUST: A Testbed to Enable Trustworthy Smart AgriTech.

Carl Dickinson, Shishir Nagaraja, Chuadhry Mujeeb Ahmed, Richard Hyde

Proceedings of the First International Symposium on Trustworthy Autonomous Systems, 2023

"They're not going to do all the tasks we do": Understanding Trust and Reassurance towards a UV-C Disinfection Robot.

Maria J. Galvez Trigo, Gisela Reyes-Cruz, Horia A. Maior, Cecily Pepper, Dominic Price, Pauline Leonard, Chira Tochia, Richard Hyde, Nicholas Watson, Joel E. Fischer

Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication, 2023

2020

Now Wash Your Hands: Understanding Food Legislation Compliance in a Virtual Reality Restaurant Kitchen.

Martin Flintham, Richard Hyde, Paul Tennent, Jan-Hinrik Meyer-Sahling, Stuart Moran

Proceedings of the CHI PLAY '20: The Annual Symposium on Computer-Human Interaction in Play, 2020

2017

Fully online clustering of evolving data streams into arbitrarily shaped clusters.

Richard Hyde, Plamen Angelov, Angus Robert MacKenzie

Inf. Sci., 2017

2015

A new online clustering approach for data in arbitrary shaped clusters.

Richard Hyde, Plamen Angelov

Proceedings of the 2nd IEEE International Conference on Cybernetics, 2015

2014

Data density based clustering.

Richard Hyde, Plamen Angelov

Proceedings of the 14th UK Workshop on Computational Intelligence, 2014

A fully autonomous Data Density based Clustering technique.

Richard Hyde, Plamen Angelov

Proceedings of the IEEE Symposium on Evolving and Autonomous Learning Systems, 2014