The University of Southampton
Email:
J.R.Clark@soton.ac.uk

Dr Jediah Clark 

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Dr Jediah Clark is a Research Fellow in Trustworthy Autonomous Systems at the University of Southampton within the Faculty of Engineering and Physical Sciences.

"I am interested in how humans communicate with future autonomous systems, especially during safety-critical tasks"

In the years of 2019 and 2020, Dr Clark was awarded the Doctoral College Award for Enterprise following his significant contribution towards patented technology in automated vehicle interfaces.

He received his PhD from the award winning Human Factors Engineering group at the University of Southampton. His PhD addressed automated vehicle interaction design by learning from safety-critical domains such as healthcare, air-traffic control, energy manufacturing/distribution and military.

He now works in the Trustworthy Autonomous Systems Hub (TAS-Hub), supporting three agile projects: 'the Chatty Car', 'Inclusive Autonomous Vehicles', and 'Trustworthy Human-Swarm Partnerships'. Dr Clark is interested in how future drivers of automated/autonomous vehicles will perceive liability issues and operational boundaries of these vehicles. His current research trajectory is exploring how we can improve public understanding of autonomous vehicle capabilities through education, public policy and smart user-centred design.

Research

Research interests

  • Human Factors in human-computer interaction, transport and multi-agent systems.
  • Sitaution awareness and its role in safety-critical task performance
  • Connecting users of technology to public policy
  • Ensuring that users suitably trust technology

Publications

Watt, Andrew, Skillicorn, Deiniol, Clark, Jediah, Evans, Rachel, Hewlett, Paul and Perham, Nick (2015) Contextual representation may mediate sex differences in heterosexual attraction. Evolution Mind and Behaviour, 14, 23-42. (doi:10.1556/2050.2015.0006).

Clark, Jediah R., Stanton, Neville A. and Revell, Kirsten M.A. (2018) Conditionally and highly automated vehicle handover: a study exploring vocal communication between two drivers. Transportation Research Part F: Traffic Psychology and Behaviour, 1-17. (doi:10.1016/j.trf.2018.06.008).

Clark, Jediah, Stanton, Neville and Revell, Kirsten (2019) Handover assist in highly automated vehicles: how vocal communication guides visual attention. In Advances in Human Aspects of Transportation - Proceedings of the AHFE 2018 International Conference on Human Factors in Transportation, 2018. vol. 786, Springer Verlag. pp. 295-306 . (doi:10.1007/978-3-319-93885-1_27).

Clark, Jediah R., Stanton, Neville A. and Revell, Kirsten M.A. (2019) Identified handover tools and techniques in high-risk domains: using distributed situation awareness theory to inform current practices. Safety Science, 118, 915-924. (doi:10.1016/j.ssci.2019.06.033).

Clark, Jediah, Stanton, Neville and Revell, Kirsten (2020) Developing an abstraction hierarchy for visual displays in semi-automated vehicles. The Human Factors and Ergonomics Society Annual Meeting 2020, Virtual,. 28 Apr - 01 May 2020.

Clark, Jediah, Stanton, Neville and Revell, Kirsten (2020) Automated vehicle handover interface design: Focus groups with learner, intermediate and advanced drivers. Automotive Innovation, 3 (1), 14-29. (doi:10.1007/s42154-019-00085-x).

Clark, Jediah, Stanton, Neville and Revell, Kirsten (2019) Vocal guidance of visual gaze during an automated vehicle handover task. International Conference on Applied Human Factors 2019, , Washington D.C., United States. 24 - 28 Jul 2019.

Clark, Jediah R., Stanton, Neville A. and Revell, Kirsten M.A. (2019) Directability, eye-gaze, and the usage of visual displays during an automated vehicle handover task. Transportation Research Part F: Traffic Psychology and Behaviour, 67 (1), 29-42.

Naiseh, Mohammad, Clark, Jediah, Divband Soorati, Mohammad and Bossens, David , Sylvaine Tuncer (2021) Trusting machines? Cross-sector lessons from healthcare & security - conference report. In Trusting Machines? Cross-sector lessons from Healthcare & Security. University of Southampton. 20 pp . (doi:10.5852/SOTON/P0134).

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