Contact Dr Anne-Marie Oostveen

Areas of expertise

  • Industrial Automation
  • Industrial Ergonomics and Human Factors

Background

Anne-Marie studied Cultural Anthropology (MA) and Social Informatics (PhD) at the University of Amsterdam. Prior to joining Cranfield University in April 2020, Anne-Marie held research positions at the University of Oxford, the University of Amsterdam, the Royal Netherlands Academy of Arts and Sciences (KNAW) in Amsterdam, and the Rathenau Institute in The Hague.

Anne-Marie’s work has been supported by a range of funders including the European Commission (FP7, H2020), the Engineering and Physical Sciences Research Council (EPSRC), and the University of Oxford’s Fell Fund. She held a Marie Curie Intra-European Fellowship exploring e-democracy technologies and the problem of public trust (2007-2009). She has published academic peer-reviewed articles and conference papers, reports, and magazine articles. You can find an up-to-date list of the most relevant publications on ORCID (https://orcid.org/0000-0001-7078-4275). 

Most recently, Anne-Marie was a Principal Investigator on the EU-funded FastPass project. This project established and demonstrated a harmonised, modular approach for Automated Border Control (ABC) gates at airports, sea borders, and land borders.

Research opportunities

Anne-Marie’s research focuses on the social implications and human factors of new and emerging technologies. She takes a problem-oriented view to focus on the interaction between technological development and social change and has been involved in both the design of technology and studying its use. She adopts a participatory approach in which technology is designed and implemented not only for the users but also with their involvement. 

In previous research, she conducted qualitative and quantitative studies on the implications of large-scale, complex systems (e.g. for public services provision, for e-voting, for automated border crossing) and on the usability and acceptance of emerging technologies. In this context, she studied the needs, values, beliefs, attitudes, and behaviours of various stakeholders and social groups involved in the use of these new technologies. 

Anne-Marie is also interested in exploring what the motivations and social trends are behind new innovations and whether laypeople can meaningfully engage in discussions about emerging technologies and the changes they bring to everyday life. Whose beliefs, values, and morality do these technologies mirror, and how can a balanced societal debate be created, leading to a socially responsible use of technologies? More recent work has focused on surveillance technologies such as child tracking technology and biometrics, and on digital inequality issues related to inadequate broadband access in rural Britain.


Current activities

PROJECTS

Within SATM’s Industrial Psychology and Human Factors group (IPHF) Anne-Marie works on the following projects:

The Engineering and Physical Sciences Research Council (EPSRC) funded DigiTOP project (https://digitop.ac.uk/) focuses on the psychosocial factors (e.g. trust, technical awareness, ethical issues) that may influence the acceptance and adoption of Digital Manufacturing Technologies. A range of qualitative and quantitative methods will be used with industrial workers to measure key implementation factors at an individual and organisational level.

The UK's MOD's Defence Science and Technology Laboratory (Dstl) funded Human Factors (HF) Guidance for the Development and Testing of Robotic and Autonomous Systems (RAS) project. Robotics and automated systems (RAS) are a growing component of military capability, and indeed everyday life and it is becoming critical to develop tools and techniques to help model, design, and verify such systems with human roles and interfaces as a central aspect. In this project, we will review existing relevant literature to assimilate reliable state-of-the-art (SoA) knowledge to provide guidance on practical and reliable methods that are available for human-centered analysis and design in the specific context of RAS.

TEACHING

MSc Applied Artificial Intelligence: Module leader and lecturer 'Ethical, Regulatory, and Social Aspects of AI' compulsory module. https://www.cranfield.ac.uk/courses/taught/applied-artificial-intelligence

MSc Robotics: Lecturer 'Psychology, Ethics and Standards' (PES) compulsory module. https://www.cranfield.ac.uk/courses/taught/robotics


Publications

Articles In Journals