Contact Dr Maryam Bathaei Javareshk
Background
Maryam studied Clinical Psychology for her BA and MSc and completed her PhD in Cognitive Psychology at the University of Leicester. Prior to joining Cranfield University in 2024, she held research and lecturing positions at Nottingham Trent University. Her work primarily focuses on operator acceptance and decision-making in manufacturing, particularly in relation to robotic arms, exoskeletons, and mobile manipulators. She employs both qualitative and quantitative methods, along with physiological measures, to assess psychological safety factors and enhance operator engagement.
Research opportunities
Maryam is interested in the behavioural and cognitive aspects of Human-Technology Interaction (HTI), with a particular focus on understanding user needs and requirements to support the successful integration of technology in workplace and social environments. In addition, she has experience in the field of road safety, including research on cyclist safety around HGVs and the use of e-scooters.
Publications
Articles In Journals
- Javareshk MB, Pulford BD & Krockow EM. (2024). Mental accounting in tax liabilities. DECISION, 51(2)
- Al-Habaibeh A, Watkins M, Shakmak B, Javareshk MB & Allison S. (2024). Assessing air quality and physical risks to E-scooter riders in urban environments through artificial intelligence and a mixed methods approach. Applied Energy, 376
- Al-Habaibeh A, Watkins M, Waried K & Javareshk MB. (2021). Challenges and opportunities of remotely working from home during Covid-19 pandemic. Global Transitions, 3
Conference Papers
- Cooper T, Watkins M, Bathaei Javareshk M & Baguley T. (2025). Have prospects for product life-spans improved?
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- Bathaeijavareshk M, Eimontaite I, Fletcher S & Koufokotsios N. Multidisciplinary Perspectives on Ethical AI-Enabled Human-Robot Interaction in Manufacturing
- Zhang J, Bathaeijavareshk M & Fletcher S. Exploring Operator Requirements for Human-Robot Collaboration in A Composite Lay-Up Process
- Bathaei Javareshk M, Watkins MA, Jobling P & Siena L. IMPACTS OF GENERATIVE AI ON ENGINEERING AND PRODUCT DESIGN STUDENTS’ PERFORMANCE
- Bathaei Javareshk M, Watkins M & Hayes SC. ENHANCING THE TEACHING OF RESEARCH METHODS IN ENGINEERING: CHALLENGES AND SOLUTIONS
- Watkins MA & Bathaei Javareshk M. DO AS I DO, NOT JUST AS I TELL YOU: TAKING STUDENTS ON A RESEARCH JOURNEY