Dr. D.S. (Dave) Murray-Rust
Dr. D.S. (Dave) Murray-Rust
Profile
Dave Murray-Rust is Associate Professor in Human-Algorithm Interaction Design at the Faculty of Industrial Design Engineering in TU Delft. He explores the messy terrain between people, data, algorithms and things through a combination of making and thinking to build better futures for humans and AI. He also holds an Honorary Fellowship with the University of Edinburgh.
His work centres on systems that use data as a medium for design while exploring social and technical issues and the agencies between humans and machines. It is multidisciplinary, touching on computer science, design theories, design ethnography and digital sociology. This involves questions such as how to design the interactions that let machine learning algorithms develop amicable co-dependencies with humans, how artificial intelligence can make sense of human behaviour to support design insights, and how designerly approaches can improve the understanding and creation of data driven systems and improve the societal functioning of AI as a discipline.
Publications
-
2024
Spatial Robotic Experiences as a Ground for Future HRI Speculations
Dave Murray-Rust / Matt Gorbet / Lilian Filthaut / Maria Luce Lupetti / Aadjan van der Helm / Adrian Chiu / Alessandro Ianniello / Philip Beesley
-
2023
Data-Enhanced Design
Engaging Designers in Exploratory Sensemaking with Multimodal Data
Katerina Gorkovenko / Adam Jenkins / Kami Vaniea / Dave Murray-Rust -
2023
Grasping AI
experiential exercises for designers
Dave Murray-Rust / Maria Luce Lupetti / Iohanna Nicenboim / Wouter van der Hoog -
2022
Metaphors for Designers Working with AI
D.S. Murray-Rust / I. Nicenboim / D Lockton
-
2022
Respect as a Lens for the Design of AI Systems
William Seymour / Max Van Kleek / Reuben Binns / Dave Murray-Rust
-
Prizes
-
2024
Best alt.HRI 2024
-
2023-4
Best paper award at CHI 2023
The paper "Disentangling Fairness Perceptions in Algorithmic Decision-Making: the Effects of Explanations, Human Oversight, and Contestability" received the best paper award at the 2023 ACM CHI Conference on Human Factors in Computing Systems
2023 CHI Conference on Human Factors in Computing Systems