Dr Ronal Singh
Research Fellow
School of Electrical Engineering and Computer Science

Book Chapter
Alotaibi, Hissah and Singh, Ronal (2023). Metrics for Evaluating Actionability in Explainable AI. Lecture Notes in Computer Science. (pp. 481-487) Singapore: Springer Nature Singapore. doi: 10.1007/978-981-99-7022-3_44
Journal Articles
Blom, Michelle, Singh, Ronal, Miller, Tim, Sonenberg, Liz, Trentelman, Kerry, Saulwick, Adam and Wark, Steven (2025). Improving tactical decision-making through multiobjective contrastive explanations. IEEE Transactions on Human-Machine Systems, 55 (5), 855-864. doi: 10.1109/thms.2025.3591163
Singh, Ronal, Miller, Tim, Sonenberg, Liz, Velloso, Eduardo, Vetere, Frank and Howe, Piers (2025). An actionability assessment tool for enhancing algorithmic recourse in explainable AI. IEEE Transactions on Human-Machine Systems, 55 (4), 519-528. doi: 10.1109/thms.2025.3582285
Alotaibi, Hissah and Singh, Ronal (2025). Explain to Whom? From User Feedback to Actionable Explanations. International Journal of Human–Computer Interaction, 42 (2), 655-667. doi: 10.1080/10447318.2025.2510824
Baruwal Chhetri, Mohan, Tariq, Shahroz, Singh, Ronal, Jalalvand, Fatemeh, Paris, Cecile and Nepal, Surya (2024). Towards Human-AI Teaming to Mitigate Alert Fatigue in Security Operations Centres. ACM Transactions on Internet Technology, 24 (3), 1-22. doi: 10.1145/3670009
Singh, Ronal, Miller, Tim, Lyons, Henrietta, Sonenberg, Liz, Velloso, Eduardo, Vetere, Frank, Howe, Piers and Dourish, Paul (2023). Directive explanations for actionable explainability in machine learning applications. ACM Transactions on Interactive Intelligent Systems, 13 (4) 23, 1-26. doi: 10.1145/3579363
Le, Thao, Singh, Ronal and Miller, Tim (2021). Goal recognition for deceptive human agents through planning and gaze. Journal of Artificial Intelligence Research, 71, 697-732. doi: 10.1613/JAIR.1.12518
Singh, Ronal, Miller, Tim, Newn, Joshua, Velloso, Eduardo, Vetere, Frank and Sonenberg, Liz (2020). Combining gaze and AI planning for online human intention recognition. Artificial Intelligence, 284 103275, 1-16. doi: 10.1016/j.artint.2020.103275
Conference Papers
Le, Thao, Miller, Tim, Sonenberg, Liz and Singh, Ronal (2024). Towards the New XAI: A Hypothesis-Driven Approach to Decision Support Using Evidence. 27th European Conference on Artificial Intelligence, Santiago de Compostela, Spain, 19–24 October 2024. Amsterdam, Netherlands: IOS Press. doi: 10.3233/faia240571
Newn, Joshua, Tag, Benjamin, Singh, Ronal, Velloso, Eduardo and Vetere, Frank (2019). AI-mediated gaze-based intention recognition for smart eyewear: Opportunities & Challenges. Association for Computing Machinery, Inc. doi: 10.1145/3341162.3348387
Newn, Joshua, Singh, Ronal, Velloso, Eduardo and Vetere, Frank (2019). Demo: Combining implicit gaze and AI for real-time intention projection. Association for Computing Machinery, Inc. doi: 10.1145/3341162.3343786
Newn, Joshua, Singh, Ronal, Allison, Fraser, Madumal, Prashan, Velloso, Eduardo and Vetere, Frank (2019). Designing interactions with intention-aware gaze-enabled artificial agents. Springer Verlag. doi: 10.1007/978-3-030-29384-0_17
Madumal, Prashan, Newn, Joshua, Singh, Ronal and Vetere, Frank (2018). Interaction design for explainable AI. Association for Computing Machinery. doi: 10.1145/3292147.3293450
Singh, Ronal, Miller, Tim, Newn, Joshua, Sonenberg, Liz, Velloso, Eduardo and Vetere, Frank (2018). Combining planning with gaze for online human intention recognition: Socially interactive agents track. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).
Singh, Ronal, Sonenberg, Liz and Mille, Tim (2016). Communication and shared mental models for teams performing interdependent tasks. Springer Verlag. doi: 10.1007/978-3-319-46882-2_10
Singh, Ronal, Miller, Tim and Sonenberg, Liz (2014). A preliminary analysis of interdependence in multiagent systems. Springer Verlag. doi: 10.1007/978-3-319-13191-7_31