Dave Murray-Rust

Biographic Data

ID1107089
NAMEDave Murray-Rust
GIVEN NAMESDave
FAMILY NAMEMurray-Rust
SIGNATUREMURRAY-RUST D
AFFILIATIONSUniversity of Edinburgh
ORCID0000-0001-6098-7861
VERIFIEDYes
TOTAL WORKS11
TOTAL CITATIONS34
AUTHOR COUNT11
EDITOR COUNT0
FIRST PUBLICATION YEAR2012
LATEST PUBLICATION YEAR2026
H-INDEX1

  • Applied Speculations in the Baggage Hall: Transdisciplinary Thinking around Robotic Work Futures

    Open AccessAlessandro Ianniello, Dave Murray-Rust et al.ARTICLEACM Transactions on Human-Robot…2026

    Robotic technologies are often proposed to relieve dull, dirty, or dangerous work, but may cause work to instead be experienced as boring, or dehumanized. Understanding the impact of robotics on the workfloor is complicated by the entanglement between emerging robotic capabilities, social dynamics, and organizational issues—which we call Worker–Robot Relations. Consequently, the impact of robotics on work is often studied in hindsight. Speculativ…

  • Speculative AI Prototyping: From Measuring Bodies to Confronting Ideals

    Maria Luce Lupetti, Dave Murray-Rust et al.ARTICLEinteractions2025

    In this section, we feature reports from conferences, symposia, workshops, and similar events, focusing on discussions where the boundaries of HCI and UX are being challenged and where debate is lively and ongoing

  • Grasping AI: Experiential exercises for designers

    Open AccessDave Murray-Rust, Maria Luce Lupetti et al.ARTICLEAI & Society2024

    Artificial intelligence (AI) and machine learning (ML) are increasingly integrated into the functioning of physical and digital products, creating unprecedented opportunities for interaction and functionality. However, there is a challenge for designers to ideate within this creative landscape, balancing the possibilities of technology with human interactional concerns. We investigate techniques for exploring and reflecting on the interactional a…

  • Experiential AI: Between Arts and Explainable AI

    Drew Hemment, Dave Murray-Rust et al.ARTICLELeonardo2024References: 15

    Experiential artificial intelligence (AI) is an approach to the design, use, and evaluation of AI in cultural or other real-world settings that foregrounds human experience and context. It combines arts and engineering to support rich and intuitive modes of model interpretation and interaction, making AI tangible and explicit. The ambition is to enable significant cultural works and make AI systems more understandable to nonexperts, thereby stren…

  • Toward Fairness, Morality and Transparency in Artificial Intelligence through Experiential AI

    Drew Hemment, Vaishak Belle et al.ARTICLELeonardo2019

    October 01 2019 Toward Fairness, Morality and Transparency in Artificial Intelligence through Experiential AI Drew Hemment, Drew Hemment University of Edinburgh, Email: [email protected] Search for other works by this author on: This Site Google Scholar Vaishak Belle, Vaishak Belle University of Edinburgh Search for other works by this author on: This Site Google Scholar Ruth Aylett, Ruth Aylett Heriot-Watt University Search for other works b…

  • Toward Fairness, Morality and Transparency in Artificial Intelligence through Experiential AI

    Drew Hemment, Vaishak Belle et al.ARTICLELeonardo2019References: 1

    October 01 2019 Toward Fairness, Morality and Transparency in Artificial Intelligence through Experiential AI Drew Hemment, Drew Hemment University of Edinburgh, Email: [email protected] Search for other works by this author on: This Site Google Scholar Vaishak Belle, Vaishak Belle University of Edinburgh Search for other works by this author on: This Site Google Scholar Ruth Aylett, Ruth Aylett Heriot-Watt University Search for other works b…

  • Supporting Real-Time Contextual Inquiry through Sensor Data

    Open AccessKaterina Gorkovenko, Dan Burnett et al.ARTICLEEthnographic Praxis in Industry…2019Cited by: 1References: 47

    A key challenge in carrying out product design research is obtaining rich contextual information about use in the wild. We present a method that algorithmically mediates between participants, researchers, and objects in order to enable real-time collaborative sensemaking. It facilitates contextual inquiry, revealing behaviours and motivations that frame product use in the wild. In particular, we are interested in developing a practice of use driv…

  • Understanding global climate change scenarios through bioclimate stratification

    Open AccessAndreas Diomedes Soteriades, Dave Murray-Rust et al.ARTICLEEnvironmental Research Letters2017

    Despite progress in impact modelling, communicating and understanding the implications of climatic change projections is challenging due to inherent complexity and a cascade of uncertainty. In this letter, we present an alternative representation of global climate change projections based on shifts in 125 multivariate strata characterized by relatively homogeneous climate. These strata form climate analogues that help in the interpretation of cli…

  • Lichtsuchende

    Open AccessDave Murray-Rust, Rocio von JungenfeldARTICLEinteractions2015

    No abstract available

  • Demo hour

    Open AccessEllis Bots, Karst Brummelhuis et al.ARTICLEinteractions2015

    The spheres on the floor portray characters from the storybook with light and localized sound

  • Challenges for land system science

    Open AccessMark Rounsevell, Mark D A Rounsevell et al.ARTICLELand Use Policy2012Cited by: 33References: 138