David Golightly
David Golightly
Future Mobility Group (inc NewRail and TORG), Newcastle University
Verified email at newcastle.ac.uk - Homepage
Cited by
Cited by
Application of Human Factors Analysis and Classification System (HFACS) to UK rail safety of the line incidents
R Madigan, D Golightly, R Madders
Accident Analysis & Prevention 97, 122-131, 2016
The role of situation awareness for understanding signalling and control in rail operations
D Golightly, JR Wilson, E Lowe, S Sharples
Theoretical Issues in Ergonomics Science 11 (1-2), 84-98, 2010
Nature: A new paradigm for well-being and ergonomics
M Richardson, M Maspero, D Golightly, D Sheffield, V Staples, R Lumber
Ergonomics 60 (2), 292-305, 2017
Giving and sharing in the computer‐mediated economy
J Harvey, A Smith, D Golightly
Journal of Consumer Behaviour 16 (4), 363-371, 2017
Manufacturing in the cloud: A human factors perspective
D Golightly, S Sharples, H Patel, S Ratchev
International Journal of Industrial Ergonomics 55, 12-21, 2016
Harnessing the interface for domain learning
D Golightly
Conference Companion on Human Factors in Computing Systems, 37-38, 1996
HCI as a means to prosociality in the economy
J Harvey, D Golightly, A Smith
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems …, 2014
Use of scenarios and function analyses to understand the impact of situation awareness on safe and effective work on rail tracks
D Golightly, B Ryan, N Dadashi, L Pickup, JR Wilson
Safety science 56, 52-62, 2013
Evaluating attitudes to safety leadership within rail construction projects
S Stiles, B Ryan, D Golightly
Safety science 110, 134-144, 2018
The impact of automation in rail signalling operations
S Sharples, L Millen, D Golightly, N Balfe
Proceedings of the Institution of Mechanical Engineers, Part F: Journal of …, 2011
A framework to support human factors of automation in railway intelligent infrastructure
N Dadashi, JR Wilson, D Golightly, S Sharples
Ergonomics 57 (3), 387-402, 2014
The characteristics of railway service disruption: implications for disruption management
D Golightly, N Dadashi
Ergonomics 60 (3), 307-320, 2017
Practical use of work analysis to support rail electrical control rooms: A case of alarm handling
N Dadashi, JR Wilson, D Golightly, S Sharples, T Clarke
Proceedings of the Institution of Mechanical Engineers, Part F: Journal of …, 2013
A sociotechnical comparison of automated train traffic control between GB and Sweden
D Golightly, B Sandblad, N Dadashi, A Andersson, S Tschirner, ...
Rail human factors: Supporting reliability, safety and cost reduction, 367, 2013
A framework of data processing for decision making in railway intelligent infrastructure
N Dadashi, JR Wilson, S Sharples, D Golightly, T Clarke
2011 IEEE International Multi-Disciplinary Conference on Cognitive Methods …, 2011
A cross-sector analysis of human and organisational factors in the deployment of data-driven predictive maintenance
D Golightly, G Kefalidou, S Sharples
Information Systems and e-Business Management 16 (3), 627-648, 2018
Seeing the woods for the trees: the problem of information inefficiency and information overload on operator performance
N Dadashi, D Golightly, S Sharples
Cognition, Technology & Work 19 (4), 561-570, 2017
Breaking the rules of direct manipulation
D Golightly, DJ Gilmore
Human-Computer Interaction INTERACT’97, 156-163, 1997
Participant experiences of mobile device-based diary studies
X Sun, D Golightly, J Cranwell, B Bedwell, S Sharples
International Journal of Mobile Human Computer Interaction (IJMHCI) 5 (2), 62-83, 2013
The effect of driver advisory systems on train driver workload and performance
DR Large, D Golightly, EL Taylor
Contemporary Ergonomics and Human Factors 15 (2), 335-342, 2014
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