Prof. Hussein Abbass

Artificial Intelligence - Autonomous Systems - Humans - Trust - Swarm

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User-task co-adaptation for effective interactive simulation environments

DP160102037

Funding Organisation

Australian Research Council - Discovery Scheme

Funding Years

2016-2020

Chief Investigator

Hussein Abbass, UNSW Canberra

Kathryn Kasmarik, UNSW Canberra

International Investigator

Kay Chen Tan, City University of Hong Kong, Hong Kong SAR

Anastasios Bezerianos, National University of Singapore, Singapore

Associated Research Fellows

Dr. Heba El-Fiki

Associated Research Students

Mr. Tung Nguyen, Ph.D., On Going

Mr. Leo Ghignone, Ph.D., On Going

Ms. Min Wang, Ph.D., On Going

Ms. Xuejie Liu, Ph.D., On Going

Project Summary

This project aims at creating novel adaptive algorithms to automatically discover those user and task features that vary together to smartly adapt users and simulation tasks to work together harmoniously, seamlessly and effectively. By bringing the user naturally inside the simulation as a task's component, users can improve their experience while task performance is simultaneously optimized. Intended scientific outcomes include novel dynamic user-task profiling algorithms, new adaptive algorithms for user-task co-adaptation, and high impact publications. Prospective practical outcomes include robust and highly effective simulation environments, strong research training, and personnel with superb skills for the Australian knowledge economy.

Journals

  1. El-fiqi H., Wang M., Merrick, K., Bezerianos A., Tan K.C., and Abbass, H.A. (20??). Weighted Gate Layer Autoencoders. IEEE Transactions on Cybernetics, accepted to appear
  2. Wang M., Hu J., and Abbass H.A. (2020). BrainPrint: EEG Biometric Identification based on Analyzing Brain Connectivity Graphs. Pattern Recognition, accepted to appear.
  3. Hussein A., El- Sawah, S., and Abbass H.A. (20??). The Reliability and Transparency Bases of Trust in Human-Swarm Interaction: Principles and Implications. Ergonomics, accepted to appear
  4. Hussein A., El- Sawah, S., and Abbass H.A. (20??). Trust Mediating Reliability-Reliance Relationship in Supervisory Control of Human-Swarm Interactions. Human Factors : The Journal of the Human Factors and Ergonomics Society, accepted to appear
  5. Wang M., ElFiqi H., Hu J., and Abbass H.A. (2019). Convolutional Neural Networks Using Dynamic Functional Connectivity for EEG-based Person Identification in Diverse Human States. IEEE Transactions on Information Forensics & Security, acceppted.
  6. Abbass H.A. (2019). Social Integration of Artificial Intelligence: Functions, Automation Allocation Logic, and Human-Autonomy Trust. Cognitive Computation, 11(2), 159-171. DOI:10.1007/s12559-018-9619-0. [PDF File].
  7. Yang, Z., Merrick K., Jin, L. and Abbass, H.A. (2018). Hierarchical Deep Reinforcement Learning for Continuous Action Control. IEEE Transactions on Neural Networks and Learning Systems, 29(11), 5174-5184. DOI:10.1109/TNNLS.2018.2805379 [PDF File]
  8. Xuejie, L., Merrick K., and Abbass H.A. (2018). Towards Electroencephalographic Profiling of Player Motivation: A Survey. IEEE Transactions on Cognitive and Developmental Systems, 10(3), 499-513. DOI: 10.1109/TCDS.2017.2726083 [PDF File]
  9. Goh S.K., Abbass H.A., Tan K.C., Al-Mamun A., Thakor N., Bezerianos A., and Li J. (2018). Spatio-spectral Representation Learning for Electroencephalographic Gait Pattern Classification. IEEE Transactions on Neural Systems & Rehabilitation Engineering, 26(9), 1858-1867. DOI: 10.1109/TNSRE.2018.2864119
  10. Goh S.K., Abbass H.A., Tan K.C., Al-Mamun A., Wang C., Guan C. (2017) . Automatic EEG Artifact Removal Techniques by Detecting Influential Independent Components. IEEE Transactions on Emerging Topics in Computational Intelligence, 1(4), 270-279. 10.1109/TETCI.2017.2690913
  11. Abbass, H. A., Leu, G., and Merrick, K. (2016). A Review of Theoretical and Practical Challenges of Trusted Autonomy in Big Data. IEEE Access, 4, 2808-2830. DOI:10.1109/access.2016.2571058. [Open Access Full Paper available for Download for Free]

Conferences

  1. Hussein A., El-Sawah S., and Abbass H.A. (2020). Towards Trust-Aware Human-Automation Interaction: An Overview of the Potential of Computational Trust Models . 53rd Hawaii International Conference on System Sciences (HICSS-53), Hawaii, USA.
  2. Hussein A., El-Sawah S., and Abbass H.A. (2019). Investigating Gender Differences in Human Interactions with a Transparent Swarm. Human Factors and Ergonomics Society's 2019 International Annual Meeting, Seattle, Washington, USA.
  3. Hussein A., El-Sawah S., and Abbass H.A. (2019). A System Dynamics Model for Human Trust in Automation under Speed and Accuracy Requirements. Human Factors and Ergonomics Society's 2019 International Annual Meeting, Seattle, Washington, USA.
  4. El-Fiqi H., Kasmarik K., Bezerianos A., Tan K.C., and Abbass H.A. (2019). Gate-Layer Autoencoders with Application to Incomplete EEG Signal Recovery. International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary.
  5. El-Fiqi H., Wang M., Salimi N., Kasmarik K., Barlow M., and Abbass H.A. (2018). Convolution Neural Networks for Person Identification and Verification Using Steady State Visual Evoked Potential. IEEE Systems, Man, and Cybernetics Conference, Miyazaki, Japan.
  6. Wang M., Hussein A., Rojas R., Shafi K., and Abbass H.A. (2018). EEG-Based Neural Correlates of Trust in Human-Autonomy Interaction. IEEE Symposium Series on Computational Intelligence, Bengaluru, India.
  7. Hussein A., and Abbass H.A. (2018). Mixed Initiative Systems for Human-Swarm Interaction: Opportunities and Challenges. IEEE Annual Systems Modelling Conference, Canberra, Australia.
  8. Wang M., Hu J., Abbass, H.A. (2018). Multi-scale Weighted Inherent Fuzzy Entropy for EEG Biomarkers. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2018), Rio de Janeiro, Brazil.
  9. Yang, Z., Merrick, K., Abbass, H.A., Jin, L. (2017). Multi-task deep reinforcement learning for continuous action control. International Joint Conference on Artificial Intelligence (IJCAI17), Melbourne, Australia. doi: 10.24963/ijcai.2017/461
  10. Bowley, S. J., and Merrick, K. (2017). A Breadcrumbs Model for Controlling an Intrinsically Motivated Swarm Using a Handheld Device. In Australasian Joint Conference on Artificial Intelligence (pp. 157-168). Springer, Cham. doi:10.1007/978-3-319-63004-5_13
  11. Goh S.K., Abbass H.A., Tan K.C., Al-Mamun A., Guan C., Wang C.C. (2016). Multiway analysis of EEG artifacts based on Block Term Decomposition. Proceedings of the International Joint Conference on Neural Networks. 2016-October: 913-920. doi: 10.1109/IJCNN.2016.7727296
  12. Abdelfattah S., Merrick K., Abbass H .A. (2016). Theta-Beta Ratios Are Prominent EEG Features for Visual Tracking Tasks. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 60, No. 1, pp. 21-25). SAGE Publications. doi: 10.1177/1541931213601005
  13. Abdelfattah S; Merrick K; Abbass H (2016). Eye Movements as Information Markers in EEG Data. IEEE Symposium Series on Computational Intelligence, Athens, Greece, presented at IEEE Symposium Series on Computational Intelligence, Athens, Greece, 06 - 09 December 2016. doi: 10.1109/SSCI.2016.7850043
  14. Wang M; Abbass H; Hu J (2016). Continuous Authentication Using EEG and Face Images for Trusted Autonomous Systems. The 2016 Privacy, Security and Trust Fourteenth Annual Conference, Auckland, New Zealand, 12 - 14 December 2016. doi: 10.1109/PST.2016.7906958
  15. Liu X; Merrick K; Abbass H (2016). Designing Artificial Agents to Detect the Motive Profile of Users in Virtual Worlds and Games. IEEE Symposium Series on Computational Intelligence, Athens, Greece, presented at IEEE Symposium Series on Computational Intelligence, Athens, Greece, 06 - 09 December 2016. doi: 10.1109/SSCI.2016.7850036
  16. Wang M; Abbass H; Hu J; Merrick K (2016). Detecting Rare Visual and Auditory Events from EEG Using Pairwise-Comparison Neural Networks. The 8th International Conference on Brain-Inspired Cognitive Systems, China, presented at The 8th International Conference on Brain-Inspired Cognitive Systems, China, 01 - 01 January 2016. doi: 10.1007/978-3-319-49685-6_9

Outreach Activities

National Science Week Display

On 12-13 August 2016, UNSW-Canberra ran interactive displays at National Science Week. UNSW-Canberra had four displays from PEMS, Cool Aeronautics, Trusted Autonomy and the UAV Team. The Trusted Autonomy group offered an interactive robotics environment controlled through gestures (hand movements) where two humans played against each other, with each human attempting to control a team of two robots, navigating them while avoiding the opposing team.

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