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

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

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

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

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

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

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

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

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

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

Designing for effective human-XAI interaction: user experience research plays and cards

Naiseh M., Dogan H., Giff S., Malhi A., Jiang N.

EXTRAAMAS 2025 — International Workshop on Explainable, Trustworthy, and Responsible AI, pp. 229–241

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

C-XAI: a conceptual framework for designing XAI tools that support trust calibration

Naiseh M., Simkute A., Zieni B., Jiang N., Ali R.

Journal of Responsible Technology, 17, 100076

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

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

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

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

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

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

Real-time Twitter data sentiment analysis to predict the recession in the UK using graph neural networks

Malhi A., Naiseh M., Jangra K.

2024 International Wireless Communications and Mobile Computing (IWCMC), pp. 1595–1600

Explainable AI for intrusion detection systems: a model development and experts' evaluation

Durojaye H., Naiseh M.

Intelligent Systems Conference, pp. 301–318

How the different explanation classes impact trust calibration: the case of clinical decision support systems

Naiseh M., Al-Thani D., Jiang N., Ali R.

International Journal of Human-Computer Studies, 169, 102941

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

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

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

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

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

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

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

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

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

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

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)

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

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)

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)

Personalising explainable recommendations: literature and conceptualisation

Naiseh M., Jiang N., Ma J., Ali R.

World Conference on Information Systems and Technologies, pp. 518–533

Explainability design patterns in clinical decision support systems

Naiseh M.

International Conference on Research Challenges in Information Science, pp. 613–620

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