![Qiyuan Zhang](https://profiles-cardiff.imgix.net/attachments/3047?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Trosolwyg
My research interests lie generally in people’s intuitive judgments of probability, risk and causality and the application of theories of cognitive psychology to real-life situations involving human-machine interactions, particularly in safety-critical contexts such as transportation, emergency services and cyber security. I’m also interested in the detrimental effects of noises on human performance in cognitive tasks.
Cyhoeddiad
2022
- Wallbridge, C. D., Marcinkiewicz, V., Zhang, Q. and Morgan, P. 2022. Towards anthropomorphising autonomous vehicles: speech and embodiment on trust and blame after an accident. Presented at: Robot Trust for Symbiotic Societies (RTSS) at IROS 2022, Kyoto, Japan, 23-27 October 2022.
- Zhang, Q. et al. 2022. Towards an integrated evaluation framework for xai: an experimental study. Procedia Computer Science 207, pp. 3884-3893. (10.1016/j.procs.2022.09.450)
- Zhang, Q., Wallbridge, C., Morgan, P. L. and Jones, D. M. 2022. Using simulation-software-generated animations to investigate attitudes towards autonomous vehicles accidents. Procedia Computer Science 207, pp. 3516-3525. (10.1016/j.procs.2022.09.410)
- Marcinkiewicz, V., Wallbridge, C. D., Zhang, Q. and Morgan, P. 2022. Integrating humanoid robots into simulation software generated animations to explore judgments on self-driving car Accidents. Presented at: IEEE Ro-Man 2022 Conference, Naples, Italy, 29 August - 2 September 2022.
2021
- Zhang, Q., Wallbridge, C. D., Jones, D. M. and Morgan, P. 2021. The blame game: double standards apply to autonomous vehicle accidents. Presented at: AHFE 2021 Virtual Conference on Human Aspects of Transportation, Virtual, 25-29 July 2021Advances in Human Aspects of Transportation. Lecture Notes in Networks and Systems Springer, Cham pp. 308-314., (10.1007/978-3-030-80012-3_36)
2020
- Williams, C., Hodgetts, H. M., Morey, C., Macken, B., Jones, D. M., Zhang, Q. and Morgan, P. L. 2020. Human error in information security: exploring the role of interruptions and multitasking in action slips. Presented at: 22nd International Conference on Human-Computer Interaction (HCII 2020), Virtual, 19-24 July 2020HCI International 2020 - Posters: 22nd International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings, Part III, Vol. 1226. Communications in Computer and Information Science Springer, Cham pp. 622-629., (10.1007/978-3-030-50732-9_80)
2019
- Morgan, P. L., Soteriou, R., Williams, C. and Zhang, Q. 2019. Attempting to reduce susceptibility to fraudulent computer pop-ups using malevolence cue identification training. Presented at: AHFE 2019: International Conference on Applied Human Factors and Ergonomics, Washington, DC, USA, 24-28 July 2019 Presented at Ahram, T. and Karwowski, W. eds.Advances in Human Factors in Cybersecurity: Proceedings of the AHFE 2019 International Conference on Human Factors in Cybersecurity, July 24-28, 2019, Washington D.C., USA, Vol. 960. Springer Verlag pp. 3-15., (10.1007/978-3-030-20488-4_1)
2015
- Zhang, Q. and Covey, J. 2015. Past and future implications of near-misses and their emotional consequences. Experimental Psychology 61(2), pp. 118-126. (10.1027/1618-3169/a000231)
2014
- Covey, J. and Zhang, Q. 2014. The effect of dynamic proximity cues on counterfactual plausibility. Judgment and Decision Making 9(6), pp. 586-592.
Cynadleddau
- Wallbridge, C. D., Marcinkiewicz, V., Zhang, Q. and Morgan, P. 2022. Towards anthropomorphising autonomous vehicles: speech and embodiment on trust and blame after an accident. Presented at: Robot Trust for Symbiotic Societies (RTSS) at IROS 2022, Kyoto, Japan, 23-27 October 2022.
- Marcinkiewicz, V., Wallbridge, C. D., Zhang, Q. and Morgan, P. 2022. Integrating humanoid robots into simulation software generated animations to explore judgments on self-driving car Accidents. Presented at: IEEE Ro-Man 2022 Conference, Naples, Italy, 29 August - 2 September 2022.
- Zhang, Q., Wallbridge, C. D., Jones, D. M. and Morgan, P. 2021. The blame game: double standards apply to autonomous vehicle accidents. Presented at: AHFE 2021 Virtual Conference on Human Aspects of Transportation, Virtual, 25-29 July 2021Advances in Human Aspects of Transportation. Lecture Notes in Networks and Systems Springer, Cham pp. 308-314., (10.1007/978-3-030-80012-3_36)
- Williams, C., Hodgetts, H. M., Morey, C., Macken, B., Jones, D. M., Zhang, Q. and Morgan, P. L. 2020. Human error in information security: exploring the role of interruptions and multitasking in action slips. Presented at: 22nd International Conference on Human-Computer Interaction (HCII 2020), Virtual, 19-24 July 2020HCI International 2020 - Posters: 22nd International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings, Part III, Vol. 1226. Communications in Computer and Information Science Springer, Cham pp. 622-629., (10.1007/978-3-030-50732-9_80)
- Morgan, P. L., Soteriou, R., Williams, C. and Zhang, Q. 2019. Attempting to reduce susceptibility to fraudulent computer pop-ups using malevolence cue identification training. Presented at: AHFE 2019: International Conference on Applied Human Factors and Ergonomics, Washington, DC, USA, 24-28 July 2019 Presented at Ahram, T. and Karwowski, W. eds.Advances in Human Factors in Cybersecurity: Proceedings of the AHFE 2019 International Conference on Human Factors in Cybersecurity, July 24-28, 2019, Washington D.C., USA, Vol. 960. Springer Verlag pp. 3-15., (10.1007/978-3-030-20488-4_1)
Erthyglau
- Zhang, Q. et al. 2022. Towards an integrated evaluation framework for xai: an experimental study. Procedia Computer Science 207, pp. 3884-3893. (10.1016/j.procs.2022.09.450)
- Zhang, Q., Wallbridge, C., Morgan, P. L. and Jones, D. M. 2022. Using simulation-software-generated animations to investigate attitudes towards autonomous vehicles accidents. Procedia Computer Science 207, pp. 3516-3525. (10.1016/j.procs.2022.09.410)
- Zhang, Q. and Covey, J. 2015. Past and future implications of near-misses and their emotional consequences. Experimental Psychology 61(2), pp. 118-126. (10.1027/1618-3169/a000231)
- Covey, J. and Zhang, Q. 2014. The effect of dynamic proximity cues on counterfactual plausibility. Judgment and Decision Making 9(6), pp. 586-592.
Ymchwil
Research Topics
Higher-order cognition: intuitive thinking, heurisitcs, probabilistic judgment, risk perception, causal reasoning, blame
Human factors and ergonomics: human error, human-machine interaction, automation, security and trust
Research Group
Cognitive Science
Human Factors Excellence (HuFEx) Research Group (www.HuFEx.co.uk)
Research Projects
Rule of Law in the Age of AI: Distributive Principles of Legal Liability for Multi-Agent Societies – Funded by ESRC-JST (2020 - 2013)
Explainability and Interpretability of Artificial Intelligence (2019) – Commissioned by Airbus
Flourish – Intelligent Mobility for Older Adults (2018) - Funded by Innovate UK
Security Perception when Interacting with a Machine (2018) – Commissioned by SOS Alarm (Sweden)
Centre of Excellence (2013-2018) - Funded by Durham City Council
Counterfactual-based Persuasive Messages in Risk Communications (2012) - Funded by the Institute of Hazard, Risk and Resilience (IHRR) of Durham
Uncertainties in Counterfactuals (2008 - 2012) - PhD Project - Funded by Durham Academic Scholarship
Publications
Zhang, Q., Wallbridge, C., Jones, D., Morgan, P. (2021) The Blame Game: Double Standards Apply to Autonomous Vehicle Accidents. Full paper accepted at AHFE 2021 International Conference on Applied Human Factors and Ergonomics, New York USA
Williams, C., Hodgetts, H., Morey, C., Macken, W., Jones, D., Zhang, Q., Morgan, P. (2020) Human Error in Information Security: Exploring the Role of Interruptions and Multitasking in Action Slips. In: Stephanidis C., Antona M. (eds) HCI International 2020 - Posters. HCII 2020. Communications in Computer and Information Science, vol 1226. Springer, Cham.
Jones, D. M., Morgan, P. L., Macken, W. J., Zhang, Q., Van Der Shalck, J., Johansen, M., & Asquith, P. (2019) Explainable Artificial Intelligence—XAI—The Affordance of Understanding. Internal research report to Airbus UK
Morgan, P., Zhang, Q., Macken, W., Williams, C., Asquith, P. & Jones, D. (2019) Security Perception when Interacting with a Machine: Final Report. Internal research report to SOS Alarm, Sweden
Morgan, P., Soteriou, R., Williams, C. & Zhang, Q. (2019) Attempting to Reduce Susceptibility to Fraudulent Computer Pop-Ups using Malevolence Cue Identification Training. In: Ahram T., Karwowski W. (eds) Advances in Human Factors in Cybersecurity. AHFE 2019. Advances in Intelligent Systems and Computing, vol 960. Springer, Cham.
Zhang, Q. and Covey, J. (2014) Past and future implications of near-misses and their emotional consequences. Experimental Psychology., 61 (2). pp. 118-126.
Covey, J. and Zhang, Q. (2014) The effect of dynamic proximity cues on counterfactual probability. Judgment and Decision Making., Vol 9, No.6. pp. 586-592
Zhang., Q. (2012) Uncertainties in Counterfactuals: The Determinants and Emotional Consequences of Counterfactual Probability Judgments. Doctoral thesis, Durham University
Bywgraffiad
I did my PhD in Cognitive Psychology at Durham University (2008-2013) on the topic of counterfactual reasoning – e.g., exploring how and why people mentally construct possible alternatives to events that have already occurred and how do they assess the plausibility of these imaginations. A follow-up project was on counterfactual-based persuasive messages in risk communications.
I then spent five years working as a R&D manager/trainer in the sport industry, before joining the School of Psychology and HuFEx Research Group in 2018. Since then I've continued researching intuitive judgments of probability, risk and causality and the application of theories of cognitive psychology to real-life situations involving human-machine interactions, particularly in safety-critical contexts such as transportation, emergency services and cyber security.
I'm now a Research Associate in an ESRC-JST funded UK-Japan joint research project investigating blame and liability distribution and human-machine trust after road accidents involving autonomous vehicles.