Personal profile
Professional Information
Dr. Emma Murphy is a lecturer and researcher in the School of Computer Science at TU Dublin. Emma teaches in the areas of Data Management and Human Computer Interaction. She leads research and supervises PhD students in the areas of co-design with people with intellectual disabilities and older adults, accessible health data representations, gender bias and healthcare and accessible and trustworthy XAI. A key aspect of her research is the continuous involvement of end users, particularly those who experience bias and exclusion from technical systems and research processes.
Research Interests
Inclusive Co-Design, Digital Accessibility, Assistive Technologies, Ethical and Responsible AI Design, Multimodal Interfaces, Participatory Design, Digital Health & Ageing
Education/Academic qualification
PhD, Designing Auditory Cues for a Multimodal Web Interface: A Semiotic Approach, Sonic Arts Research Centre
Bachelor, Music and Philosphy, The Provost, Fellows, Foundation Scholars & The Other Members Of Board, Of The College Of The Holy & Undivided Trinity Of Queen Elizabeth Near Dublin
Master, Music Technology, University of Limerick
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Collaborations and top research areas from the last five years
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From Clinic to Code: Using Clinician Insights to Develop a Framework for Fair and Representative Datasets in Women’s Health AI
Heaney, A., Murphy, E. & Hickey, E., 2026, Artificial Intelligence in Healthcare - 2nd International Conference, AIiH 2025, Proceedings. Cafolla, D., Rittman, T. & Ni, H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 100-114 15 p. (Lecture Notes in Computer Science; vol. 16039 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open AccessFile -
Vision-Language System using Open-Source LLMs for Consent and Instruction Gestures in Medical Interpreter Robots
Ngo, T. T., Murphy, E. & Ross, R. J., 16 Mar 2026, Companion Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction, HRI Companion 2026. Baillie, L., Smart, W. D., De Graaf, M., Gombolay, M. & Torre, I. (eds.). Association for Computing Machinery (ACM), p. 74-79 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 contribution › peer-review
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Alien Mystery Scavenger Hunt: Enhancing Intergenerational Interaction with Physical Web Technologies Through Location-Based Games
Badmos, F., Murphy, E., Ward, M., Parmar, M., Kelly, P. & Berry, D., 2025, HCI International 2024 – Late Breaking Papers - 26th International Conference on Human-Computer Interaction, HCII 2024, Proceedings. Chen, J. Y. C., Fragomeni, G., Streitz, N. A., Konomi, S. & Fang, X. (eds.). p. 285-295 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15377 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Bias in Context: Clinicians’ Perceptions of Women’s Healthcare
Heaney, A., Murphy, E. & Hickey, E., 2025, Pervasive Computing Technologies for Healthcare - 18th EAI International Conference, PervasiveHealth 2024, Proceedings. Kondylakis, H. & Triantafyllidis, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 179-197 19 p. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; vol. 611 LNICST).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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An Exploration of Engagement and Collaboration Between Healthcare Professionals and Older Adults with Multimorbidity Using a Digital Health Platform
Doyle, J., McAleer, P., Murphy, E., Smith, S., Galvin, M. & Dinsmore, J., 2024, Human Aspects of IT for the Aged Population - 10th International Conference, ITAP 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings. Gao, Q. & Zhou, J. (eds.). Springer Science and Business Media Deutschland GmbH, p. 22-37 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14726 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review