Personal profile
Research interests
I am a PhD student at King’s College London where I am part of a cohort researching how to make AI safe and trustworthy. In my current project, I am researching how robots can learn to proactively explain their decisions and assist a human in collaborative scenarios. I am building models to predict when explanations are needed and what they should be about by interpreting the human’s social and physiological cues such as eye gaze, facial expressions, or heart rate.
For more check my website and Google Scholar
Research interests (short)
- Human–Robot Interaction
- Explainable Robotics
- User-centered Explanations
- Natural Language Processing for Cognitive Linguistics
For more see my website and Google Scholar
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 9 Industry, Innovation, and Infrastructure
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Collaborations and top research areas from the last five years
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Neurosymbolic Explanation Selection in Robotics: Combining the Strengths of Planning and Foundation Models for XAI
Wachowiak, L., Coles, A., Celiktutan, O. & Canal, G., 16 Mar 2026, Companion Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction. Baillie, L., Smart, W. D., De Graaf, M., Gombolay, M. & Torre, I. (eds.). p. 222–227 6 p. (Companion Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction, HRI Companion 2026).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open AccessFile323 Downloads (Pure) -
Predicting When and What to Explain from Multimodal Eye Tracking and Task Signals
Wachowiak, L., Tisnikar, P., Canal, G., Coles, A., Leonetti, M. & Celiktutan, O., Mar 2025, In: IEEE Transactions on Affective Computing. 16, 1, p. 179-190 12 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)712 Downloads (Pure) -
Are Large Language Models Aligned with People's Social Intuitions for Human–Robot Interactions?
Wachowiak, L., Coles, A., Celiktutan, O. & Canal, G., 25 Dec 2024, (E-pub ahead of print) In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). p. 2520-2527 8 p.Research output: Contribution to journal › Conference paper › peer-review
Open AccessFile2 Citations (Scopus)590 Downloads (Pure) -
A Taxonomy of Explanation Types and Need Indicators in Human–Agent Collaborations
Wachowiak, L., Coles, A., Canal, G. & Celiktutan, O., 5 Jun 2024, In: International Journal of Social Robotics. 16, 7, p. 1681–1692 12 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile4 Citations (Scopus)398 Downloads (Pure) -
A Time Series Classification Pipeline for Detecting Interaction Ruptures in HRI Based on User Reactions
Wachowiak, L., Tisnikar, P., Coles, A., Canal, G. & Celiktutan, O., 4 Nov 2024, ICMI 2024 - Proceedings of the 26th International Conference on Multimodal Interaction. ACM, p. 657-665 9 p. (ACM International Conference Proceeding Series).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open AccessFile6 Citations (Scopus)278 Downloads (Pure)