Follow
Mohammad Naiseh
Mohammad Naiseh
Verified email at bournemouth.ac.uk - Homepage
Title
Cited by
Cited by
Year
Personalising explainable recommendations: literature and conceptualisation
M Naiseh, N Jiang, J Ma, R Ali
Trends and Innovations in Information Systems and Technologies: Volume 2 8 …, 2020
382020
How the different explanation classes impact trust calibration: The case of clinical decision support systems
M Naiseh, D Al-Thani, N Jiang, R Ali
International Journal of Human-Computer Studies 169, 102941, 2023
322023
Explainable Recommendations in Intelligent Systems: Delivery Methods, Modalities and Risks
M Naiseh, N Jiang, J Ma, R Ali
The 14th International Conference on Research Challenges in Information Science., 2020
262020
Explainable recommendations and calibrated trust: two systematic user errors
M Naiseh, D Cemiloglu, N Jiang, D Althani, R Ali
The Computer Journal, 2021
232021
Explainable recommendation: when design meets trust calibration
M Naiseh, D Al-Thani, N Jiang, R Ali
World Wide Web 24 (5), 1857-1884, 2021
222021
Nudging through Friction: an Approach for Calibrating Trust in Explainable AI
M Naiseh, RS Al-Mansoori, D Al-Thani, N Jiang, R Ali
8th International Conference on Behavioral and Social Computing (BESC), 2021
152021
The fine line between persuasion and digital addiction
D Cemiloglu, M Naiseh, M Catania, H Oinas-Kukkonen, R Ali
International conference on persuasive technology, 289-307, 2021
142021
Trustworthy autonomous systems (TAS): Engaging TAS experts in curriculum design
M Naiseh, C Bentley, SD Ramchurn
2022 IEEE global engineering education conference (EDUCON), 901-905, 2022
82022
Explainability design patterns in clinical decision support systems
M Naiseh
Research Challenges in Information Science: 14th International Conference …, 2020
82020
Industry Led Use-Case Development for Human-Swarm Operations
JR Clark, M Naiseh, J Fischer, M Galvez Trigo, K Parnell, M Brito, ...
AAAI 2022 Spring Symposium Series (Putting AI in the Critical Loop: Assured …, 2022
52022
Digital Wellbeing for All: Expanding Inclusivity to Embrace Diversity in Socio-Emotional Status
RS Al-Mansoori, M Naiseh, D Al-Thani, R Ali
34th British HCI Conference (HCI2021), 2021
52021
How different explanations impact trust calibration: The case of clinical decision support systems
M Naiseh, D Al-Thani, N Jiang, R Ali
Available at SSRN 4098528, 2022
42022
The Effect of Data Visualisation Quality and Task Density on Human-Swarm Interaction
AO Abioye, M Naiseh, W Hunt, J Clark, SD Ramchurn, MD Soorati
2023 32nd IEEE International Conference on Robot and Human Interactive …, 2023
22023
Outlining the Design Space of eXplainable Swarm (xSwarm): Experts’ Perspective
M Naiseh, MD Soorati, S Ramchurn
International Symposium on Distributed Autonomous Robotic Systems, 28-41, 2022
22022
Methods, tools and techniques for trustworthy autonomous systems (TAS) design and development
M Naiseh, C Bentley, S Ramchurn, E Williams, E Awad, C Alix
Companion of the 2022 ACM SIGCHI symposium on engineering interactive …, 2022
22022
Enabling trustworthiness in human-swarm systems through a digital twin
MD Soorati, M Naiseh, W Hunt, K Parnell, J Clark, SD Ramchurn
Putting AI in the Critical Loop, 93-125, 2024
12024
The well-being of Autonomous Vehicles (AVs) users under uncertain situations
M Naiseh, P Shukla
Proceedings of the First International Symposium on Trustworthy Autonomous …, 2023
12023
Explainable recommendation: When design meets trust calibration–Research protocol
M Naiseh
Bournemouth University, 2021
12021
Explainable Recommendations and Calibrated Trust-Research Protocol
M Naiseh
Bournemouth University, 2021
12021
The paranoia paradox: the role of trust, confidence, and paranoia in e-health usage
E Palmer-Cooper, F Greenway, E Nichele, T Azim, E Gentry, M Armouch, ...
2024
The system can't perform the operation now. Try again later.
Articles 1–20