Harnessing the Interface for Domain Learning. - David Golightly (CHI Conference Companion, 1996)

Breaking the Rules of Direct Manipulation. - David Golightly; David J. Gilmore (INTERACT, 1997)

Interfaces for speech recognition systems: the impact of vocabulary constraints and syntax on performance. - Kate S. Hone; David Golightly (ICSLP, 1998)

Speech Interaction Can Support Problem Solving. - David Golightly; Kate S. Hone; Frank E. Ritter (INTERACT, 1999)

Understanding the Impact of Rail Automation. - Sarah Sharples; Nora Balfe; David Golightly; Laura Millen (HCI (17), 2009)

Cognitive work analysis practicality and limitations in complex control systems: A case of alarm handling. - Nastaran Dadashi; John R. Wilson; Sarah Sharples; David Golightly (IFAC HMS, 2010)

A framework of data processing for decision making in railway intelligent infrastructure. - Nastaran Dadashi; John R. Wilson; Sarah Sharples; David Golightly; T. Clarke (CogSIMA, 2011)

Participant Experiences of Mobile Device-Based Diary Studies. - Xu Sun 002; David Golightly; Jo Cranwell; Benjamin Bedwell; Sarah Sharples (Int. J. Mob. Hum. Comput. Interact., 2013)

HCI as a means to prosociality in the economy. - John Harvey; David Golightly; Andrew Smith (CHI, 2014)

Design Requirements for Effective Hybrid Decision Making with Evolvable Assembly Systems. - David Golightly; David Sanderson; Paul Holmes; Svetan M. Ratchev; Sarah Sharples (ECCE, 2016)

Understanding rail travel through the curation of personal data. - Shalaka Kurup; David Golightly; Nick Wilson (UbiComp Adjunct, 2016)

Span of control in supervision of rail track work. - Robert J. Houghton; Chris White; David Golightly; John R. Wilson (Cogn. Technol. Work., 2016)

Quantification of Rail Signaller Demand Through Simulation. - Lise Delamare; David Golightly; Graham Goswell; Peter Treble (H-WORKLOAD, 2017)

Seeing the woods for the trees: the problem of information inefficiency and information overload on operator performance. - Nastaran Dadashi; David Golightly; Sarah Sharples (Cogn. Technol. Work., 2017)

Identifying rail asset maintenance processes: a human-centric and sensemaking approach. - Genovefa Kefalidou; David Golightly; Sarah Sharples (Cogn. Technol. Work., 2018)

A cross-sector analysis of human and organisational factors in the deployment of data-driven predictive maintenance. - David Golightly; Genovefa Kefalidou; Sarah Sharples (Inf. Syst. E Bus. Manag., 2018)

Exploring Human Behaviour in Cyber-Physical Systems with Multi-modelling and Co-simulation. - Ken G. Pierce; Carl Gamble; David Golightly; Roberto Palacin (FM Workshops (2), 2019)

Modelling Train Driver Behaviour in Railway Co-simulations. - Tomas Hotzel Escardo; Ken G. Pierce; David Golightly; Roberto Palacin (SEFM, 2020)

Prosocial exchange systems: Nonreciprocal giving, lending, and skill-sharing. - John Harvey; Andrew Smith; David Golightly; James Goulding; H. P. Samanthika Gallage (Comput. Hum. Behav., 2020)

Modelling decision-making within rail maintenance control rooms. - Nastaran Dadashi; David Golightly; Sarah Sharples (Cogn. Technol. Work., 2021)

Passenger information provision: Perspectives from rail industry stakeholders in Great Britain. - Shalaka Kurup; David Golightly; David Clarke; Sarah Sharples (J. Rail Transp. Plan. Manag., 2021)

Using co-simulation and Time Signal at Red (TSAR) to Determine Impact of Driver Behavior on Rail Network Performance. - Ken G. Pierce; Anirban Bhattacharyya; David Golightly; Pedro Pinto da Silva; Seb Merricks; Roberto Palacin; Ziqi Guo (ANNSIM, 2024)

Using Time Signal at Red (TSAR) as a tool for analysing rail network performance. - Anirban Bhattacharyya; Matthew Forshaw; David Golightly; Seb Merricks; Roberto Palacin; Ken G. Pierce; Pedro Pinto da Silva (J. Rail Transp. Plan. Manag., 2025)