Research Repository
What’s in the repository?
REELER’s research repository contains individual contributions from REELER’s diverse team of researchers, including a selection of peer-reviewed articles and REELER’s working paper series. The repository also contains additional reports and supplementary material related to REELER’s research activities.
Peer-reviewed Articles
Through the course of the REELER project, REELER’s researchers have each published several peer-reviewed articles, book chapters, and other research publications. A selection of these are presented here.
The Use of Ethnography to Identify and Address Ethical, Legal, and Societal (ELS) Issues (2018)
By Hasse, C., Trentemøller, S. & Sorenson, J.
Special Issue on Ethnography in Human-Robot Interaction Research (2019)
By Hasse, C., Trentemøller, S. & Sorenson, J.
Evolutionary programming of product design policies. An agent-based model study (2017)
By Vermeulen, B., Chie, B.-T., Chen, S.-H., Pyka, A.
The Impact of Automation on Employment: Just the Usual Structural Change? (2018)
By Vermeulen, B., J. Kesselhut, A. Pyka, P.P. Saviotti
Imagining and tinkering with assistive robotics in care for the disabled (2019)
By Niels Christian Mossfeldt Nickelsen
Robot use cases for real needs: A large-scale ethnographic case study (2019)
By Leon Bodenhagen, Kerstin Fischer, Trine S. Winther, Rosalyn M. Langedijk, & Mette M. Skjøth
Working Papers
The REELER working paper series presents individual contributions by REELER researchers, including ongoing research results, literature reviews, and position papers. These papers are works in progress and may be published as peer-reviewed publications at a later date.
BRICKSTER: An interdisciplinary experiment between ethnography and programming (2020).
By Sebastian Madsen, Ben Vermeulen & Cathrine Hasse
Feeding assistive robotics, socio-technological imaginaries and care: The case of Bestic
By Niels Christian Mossfeldt Nickelsen
The economic impact of robotics and artificial intelligence
By Ben Vermeulen, Andreas Pyka, & Mirheta Omeroviv
Towards responsible robotics through cultural change and lived ethics
By Karolina Zawieska
Literature Reviews
As part of the REELER project’s efforts to develop common ground within the project, researchers performed literature searches and comprehensive reviews of key analytical concepts and empirical topics that would guide our research. These concepts broadened and deepened understandings of the empirical field and laid a framework for analysis.
Robot as Materiality and Concept
By Cathrine Hasse, Jessica Sorenson, & Stine Trentemøller
The Economic Impact of Robotics and AI
By Ben Vermeulen, Andreas Pyka, & Mirheta Omeroviv
Research Instruments
REELER has created and used many instruments for interdisciplinary research. These include interview guides, best practices and shared research protocol, and more.
Best Practice Research and Observation Guide
An overview of REELER research tools (e.g interview guides and NDAs)
Database Queries
REELER maintains a database of 160 interview transcripts from our 11 ethnographic case studies. During our analysis phase, REELER has made a number of database queries to retrieve quotations(selected interview excerpts ) that relate to a particular analytical point (e.g., all quotations by robot developers containing the word ‘ethics’).
Presentations
The Powerpoint presentations from REELER’s end-conference and European Parliament session are available here.
Robot Mapping Reports
In order to gain an overview of robot development activities in different European regions, REELER researchers examined robotics associations, market reports, and directories of robot developers, integrators, and suppliers. This robot mapping exercise allowed REELER to identify clusters and trends in regional robot development (e.g., social robotics in Spain) and to identify four factors that differentiate robot makers: country or region, robot type, application sector, and organization type. These reports were the starting point for our multi-variation approach to ethnographic case studies.
This project has recieved funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 731726