Cardiff School of Technologies>Staff Profiles>Joel Pinney

Dr Joel Pinney

Department: Department of Applied Computing and Engineering

Office/Location: Cardiff School of Technologies, Llandaff Campus

Telephone:

Email: joelpinney2@cardiffmet.ac.uk

Staff Overview

​Joel obtained his BSc (2019) and MPhil (2020) from Cardiff Metropolitan University before proceeding to commence on a PhD through a KESS2 scholarship. Joel was an Associate Tutor for two years at Cardiff Metropolitan University before gaining his lectureship. His research interest focuses on the multi-disciplinary field of Human-Computer-Interaction (HCI). In particular, his research investigates how we can apply aesthetics to visualise uncertainties more intuitively in data visualisations for a lay audience. Joel is particularly interested in how technology is designed for creating engaging and inclusive experiences.

Teaching

​Joel is the Programmes Director for BSc (Hons) Computing with Creative Design in the School of Technologies.

For the last 2 years, he has taught on numerous modules and programmes in Cardiff School of Technologies.

Module leader (2022-2023): Designing thinking (Level 4); Mobile and Web Technologies (Level 5); Advanced Multimedia (Level 6).

Module Lecturer/tutor: Professional and Ethics in IT (Level 6), Mobile and Web Technologies (Level 5), Research Methods (Level 5), Social Media and Analytics (Level 7), Design thinking (Level 4), Technology and Society (Level 5), Professional and Academic Skills (Level 3).

Research

​Setting up a Brain Computer Interface (BCI) facility for the Creative Computing Research Centre
Funded by Cardiff Met Research & Innovation Services (RIS) R&B ‘Get started’ Fund. £3000 (2022).
Kazeem Olorisade, Joel Pinney and Fiona Carroll

Key Publications

​Pinney, J., Carroll, F. & Newbury, P. (2022). Human-robot interaction: The impact of robotic aesthetics on anticipated human trust. Advances in Computational Learning for Robotics. PeerJ Computer Science.

Pinney, J., Carroll, F. (2022). Designing for Interaction: Determining the Most Influential Aesthetic Factors for Effective Visualisation of Uncertainty. In: Yamamoto, S., Mori, H. (eds) Human Interface and the Management of Information: Visual and Information Design. HCII 2022. Lecture Notes in Computer Science, vol 13305. Springer, Cham. https://doi.org/10.1007/978-3-031-06424-1_27

Pinney, J., Carroll, F. & Chew, E. (2022). Enthusiast versus Antagonist: Exploring the perceptions of data experts on the visualisation of uncertainty. In Ahram, T., Taiar, R. (eds) Human Interaction & Emerging Technologies (IHIET-AI 2022): Artificial Intelligence & Future Applications. IHIET-AI-2022. Proceedings of the 7th international conference. Vol 23(23). AHFE. http://doi.org/10.54941/ahfe100836

Pinney, J., Carroll, F. and Chew, E. (2021)‘Valuable insights into the visualisation of uncertainty in data as a means to navigating business risks and making better strategic decisions’. Cardiff Metropolitan University.doi:10.25401/cardiffmet.14612370.v1.

Other Projects and activities

External Links