Research output
Publications

49+ peer-reviewed papers across journals, conferences, and book chapters — spanning Explainable AI, trust calibration, and human-centred autonomous systems.

↗  Google Scholar
49+
Total papers
1K+
Citations
16
Journals
25
Conferences
Showing all 49+ papers
2026
4 papers
Do language models help or harm? The role of LLM-generated explanations in human-AI image classification tasks
Naiseh M., Zieni B., Natali C., Bouchachia H.
2026 IEEE Conference on Artificial Intelligence (CAI), pp. 244–249
ConferenceIEEE · 2026
Steering through uncertainty: a systematic review of liability communication in autonomous vehicles
Akarsu T., Shukla P., Winter P., Onitiu D., Naiseh M., Nichele E., Lisinska J., Hyde R.
Transport Reviews, 46(2), 270–296
JournalRoutledge · 2026
Health care professionals' perceptions of machine learning based clinical decision support systems for oesophageal cancer management
Webb C., Thavanesan N., Naiseh M., Dewar-Haggart R., Underwood T., Vigneswaran G.
Computers in Biology and Medicine, 200, 111373
JournalPergamon · 2026
What's informing trust and adoption? Can current cognitive models support expert adoption of AI?
Lamb S.C., Byrne M., Norman T.J., Ramchurn S.D., Naiseh M.
Journal of Cognitive Engineering and Decision Making, 15553434261430550
JournalSAGE · 2026
2025
9 papers
Oesophageal cancer multi-disciplinary tool: a co-designed, externally validated, machine learning tool for oesophageal cancer decision making
Thavanesan N., Naiseh M., Terol M., Rahman S.A., Hill S.L., Parfitt C., Walters Z.S., Ramchurn S., Markar S., Owen R.
EClinicalMedicine, 89
JournalElsevier · 2025
Attitudes towards AI: the interplay of self-efficacy, well-being, and competency
Naiseh M., Babiker A., Al-Shakhsi S., Cemiloglu D., Al-Thani D., Montag C., Ali R.
Journal of Technology in Behavioral Science, 1–14
JournalSpringer · 2025
A user study evaluation of predictive formal modelling at runtime in human-swarm interaction
Abioye A.O., Hunt W., Gu Y., Schneiders E., Naiseh M., Archibald B., Sevegnani M., Ramchurn S.D., Fischer J.E., Soorati M.D.
ACM Transactions on Human-Robot Interaction, 14(4), 1–24
JournalACM · 2025
Social media vs. users' wellbeing and the role of personal factors: a study on Arab and British samples
Cemiloglu D., Alshakhsi S., Babiker A., Naiseh M., Al-Thani D., Ali R.
International Journal of Human–Computer Interaction, 41(22), 14122–14140
JournalTaylor & Francis · 2025
Contrasting and predicting social media's role in addictive use and well-being
Cemiloglu D., Babiker A., Alshakhsi S., Naiseh M., Al-Thani D., Ali R.
Journal of Technology in Behavioral Science, 1–16
JournalSpringer · 2025
A UK perspective on responsible education for responsible AI: a multidisciplinary review and evaluation framework
Klyshbekova M., Cruz G.R., Bentley C., Garasto S., Brown A.A., Aicardi C., Ball B., Naiseh M., Andrei O.
Journal of Responsible Technology
JournalElsevier · 2025
Development of a persuasive user experience research (UXR) point of view for explainable artificial intelligence (XAI)
Naiseh M., Dogan H., Giff S., Jiang N.
Workshop on Defining a UX Research Point of View, CHI 2025, Yokohama, Japan
ConferenceCHI · 2025
Designing for effective human-XAI interaction: user experience research plays and cards
Naiseh M., Dogan H., Giff S., Malhi A., Jiang N.
EXTRAAMAS 2025, pp. 229–241
ConferenceSpringer · 2025
Better AI with designed friction: theories, applications and research agenda
Natali C., Naiseh M., Cabitza F., Frischmann B.
Hybrid Human Artificial Intelligence (HHAI) 2025, vol. 408, pp. 518–521
ConferenceHHAI · 2025
2024
8 papers
C-XAI: a conceptual framework for designing XAI tools that support trust calibration  ⭐ Top cited · JRT
Naiseh M., Simkute A., Zieni B., Jiang N., Ali R.
Journal of Responsible Technology, 17, 100076
JournalElsevier · 2024
Trust, risk perception, and intention to use autonomous vehicles: an interdisciplinary bibliometric review
Naiseh M., Clark J., Akarsu T., Hanoch Y., Brito M., Eald M., Webster T., Shukla P.
AI & Society
JournalSpringer · 2024
Adaptive human-swarm interaction based on workload measurement using functional near-infrared spectroscopy
Abioye A.O., Landowska A., Hunt W., Maior H., Ramchurn S.D., Naiseh M., Banks A., Soorati M.D.
arXiv preprint arXiv:2405.07834
Preprint2024
Enabling trustworthiness in human-swarm systems through a digital twin
Soorati M.D., Naiseh M., Hunt W., Parnell K., Clark J., Ramchurn S.D.
In: Putting AI in the Critical Loop, pp. 93–125
Book chapterAcademic Press · 2024
Social eXplainable AI (Social XAI): towards expanding the social benefits of XAI
Naiseh M.
In: The Impact of Artificial Intelligence on Societies, pp. 169–178
Book chapterSpringer · 2024
XAI for group-AI interaction: towards collaborative and inclusive explanation
Naiseh M., Webb C., Underwood T., Ramchurn G., Walters Z., Thavanesan N., Vigneswaran G.
XAI 2024 — Second World Conference on Explainable AI, Valletta, Malta
ConferenceXAI · 2024
The effect of predictive formal modelling at runtime on performance in human-swarm interaction
Abioye A.O., Hunt W., Gu Y., Schneiders E., Naiseh M., Fischer J.E., Ramchurn S.D., Soorati M.D., Archibald B., Sevegnani M.
Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, pp. 172–176
ConferenceHRI · 2024
Explainable AI for intrusion detection systems: a model development and experts' evaluation
Durojaye H., Naiseh M.
Intelligent Systems Conference, pp. 301–318
ConferenceSpringer · 2024
2023
4 papers
How the different explanation classes impact trust calibration: the case of clinical decision support systems  ⭐ Top cited · IJHCS
Naiseh M., Al-Thani D., Jiang N., Ali R.
International Journal of Human-Computer Studies, 169, 102941
JournalAcademic Press · 2023
The well-being of autonomous vehicles (AVs) users under uncertain situations
Naiseh M., Shukla P.
First International Symposium on Trustworthy Autonomous Systems, pp. 1–8
ConferenceTAS · 2023
Intersectional analysis of the challenges and opportunities of equitable remote operation in the UK maritime sector
Cai A., Bentley C.M., Zamani E., Naiseh M., Sbaffi L.
First International Symposium on Trustworthy Autonomous Systems, pp. 1–8
ConferenceTAS · 2023
The effect of data visualisation quality and task density on human-swarm interaction
Abioye A.O., Naiseh M., Hunt W., Clark J., Ramchurn S.D., Soorati M.D.
32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), pp. 1494–1501
ConferenceIEEE · 2023
2022
5 papers
Outlining the design space of eXplainable swarm (xSwarm): experts' perspective
Naiseh M., Soorati M.D., Ramchurn S.
International Symposium on Distributed Autonomous Robotic Systems, pp. 28–41
ConferenceDARS · 2022
Trustworthy autonomous systems (TAS): engaging TAS experts in curriculum design
Naiseh M., Bentley C., Ramchurn S.D.
2022 IEEE Global Engineering Education Conference (EDUCON), pp. 901–905
ConferenceIEEE EDUCON · 2022
Methods, tools and techniques for trustworthy autonomous systems (TAS) design and development
Naiseh M., Bentley C., Ramchurn S., Williams E., Awad E., Alix C.
Companion of the 2022 ACM SIGCHI Symposium on Engineering Interactive Computing Systems, pp. 66–69
ConferenceACM SIGCHI · 2022
Industry led use-case development for human-swarm operations
Clark J.R., Naiseh M., Fischer J., Galvez Trigo M., Parnell K., Brito M., Bodenmann A., Ramchurn S.D., Divband Soorati M.
AAAI 2022 Spring Symposium: Putting AI in the Critical Loop
ConferenceAAAI · 2022
Learning from expert teams
Lamb S.C., Naiseh M., Clark J.R., Ramchurn S.D., Norman T.J.
Contemporary Ergonomics & Human Factors 2022, p. 48
Journal2022
2021
5 papers
Explainable recommendation: when design meets trust calibration
Naiseh M., Al-Thani D., Jiang N., Ali R.
World Wide Web — Special Issue on Explainability in the Web, 24(5), 1857–1884
JournalSpringer · 2021
Explainable recommendations and calibrated trust: two systematic user errors
Naiseh M., Cemiloglu D., Jiang N., Althani D., Ali R.
The Computer Journal — Special Issue on Explainable AI and Machine Learning
Journal2021
Nudging through friction: an approach for calibrating trust in explainable AI
Naiseh M., Al-Mansoori R.S., Al-Thani D., Jiang N., Ali R.
8th International Conference on Behavioral and Social Computing (BESC)
ConferenceBESC · 2021
The fine line between persuasion and digital addiction
Cemiloglu D., Naiseh M., Catania M., Oinas-Kukkonen H., Ali R.
International Conference on Persuasive Technology, pp. 289–307
ConferenceSpringer · 2021
Digital wellbeing for all: expanding inclusivity to embrace diversity in socio-emotional status
Al-Mansoori R.S., Naiseh M., Al-Thani D., Ali R.
34th British HCI Conference (HCI2021)
ConferenceBCS HCI · 2021
2020
4 papers
Explainable recommendations in intelligent systems: delivery methods, modalities and risks
Naiseh M., Jiang N., Ma J., Ali R.
14th International Conference on Research Challenges in Information Science (RCIS)
ConferenceRCIS · 2020
Personalising explainable recommendations: literature and conceptualisation
Naiseh M., Jiang N., Ma J., Ali R.
World Conference on Information Systems and Technologies, pp. 518–533
ConferenceWorldCIST · 2020
Explainability design patterns in clinical decision support systems
Naiseh M.
International Conference on Research Challenges in Information Science, pp. 613–620
ConferenceRCIS · 2020
Online peer support groups for behavior change: moderation requirements
Aldhayan M., Naiseh M., McAlaney J., Ali R.
International Conference on Research Challenges in Information Science, pp. 157–173
ConferenceRCIS · 2020
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