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Mohammad Naiseh

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2024
[c14]
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Ayodeji Opeyemi Abioye, William Hunt, Yue Gu, Eike Schneiders, Mohammad Naiseh, Joel E. Fischer, Sarvapali D. Ramchurn, Mohammad Divband Soorati, Blair Archibald, Michele Sevegnani:
The Effect of Predictive Formal Modelling at Runtime on Performance in Human-Swarm Interaction. HRI (Companion) 2024: 172-176
[c13]
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Mohammad Naiseh, Catherine Webb, Timothy J. Underwood, Gopal Ramchurn, Zoë Walters, Navamayooran Thavanesan, Ganesh Vigneswaran:
XAI for Group-AI Interaction: Towards Collaborative and Inclusive Explanations. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 249-256
[i6]
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  - journals/corr/abs-2401-11945
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Ayodeji Opeyemi Abioye, William Hunt, Yue Gu, Eike Schneiders, Mohammad Naiseh, Joel E. Fischer, Sarvapali D. Ramchurn, Mohammad Divband Soorati, Blair Archibald, Michele Sevegnani:
The Effect of Predictive Formal Modelling at Runtime on Performance in Human-Swarm Interaction. CoRR abs/2401.11945 (2024)
[i5]
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  - journals/corr/abs-2405-07834
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Ayodeji Opeyemi Abioye, Aleksandra Landowska, William Hunt, Horia A. Maior, Sarvapali D. Ramchurn, Mohammad Naiseh, Alec Banks, Mohammad Divband Soorati:
Adaptive Human-Swarm Interaction based on Workload Measurement using Functional Near-Infrared Spectroscopy. CoRR abs/2405.07834 (2024)
2023
[j3]
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  - journals/ijmms/NaisehAJA23
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Mohammad Naiseh, Dena Al-Thani, Nan Jiang, Raian Ali:
How the different explanation classes impact trust calibration: The case of clinical decision support systems. Int. J. Hum. Comput. Stud. 169: 102941 (2023)
[c12]
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  - conf/ro-man/AbioyeNHCRS23
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Ayodeji Opeyemi Abioye, Mohammad Naiseh, William Hunt, Jediah R. Clark, Sarvapali D. Ramchurn, Mohammad Divband Soorati:
The Effect of Data Visualisation Quality and Task Density on Human-Swarm Interaction. RO-MAN 2023: 1494-1501
[c11]
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  - conf/tas/CaiBZNS23
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An Cai, Caitlin Maureen Bentley, Efpraxia D. Zamani, Mohammad Naiseh, Laura Sbaffi:
Intersectional Analysis of the Challenges and Opportunities of Equitable Remote Operation in the UK Maritime Sector. TAS 2023: 3:1-3:8
[c10]
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Mohammad Naiseh, Paurav Shukla:
The well-being of Autonomous Vehicles (AVs) users under uncertain situations. TAS 2023: 24:1-24:8
[i4]
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  - journals/corr/abs-2307-08590
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Ayodeji Opeyemi Abioye, Mohammad Naiseh, William Hunt, Jediah R. Clark, Sarvapali D. Ramchurn, Mohammad Divband Soorati:
The Effect of Data Visualisation Quality and Task Density on Human-Swarm Interaction. CoRR abs/2307.08590 (2023)
[i3]
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  - journals/corr/abs-2309-01269
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Mohammad Naiseh, Mohammad Divband Soorati, Sarvapali D. Ramchurn:
Outlining the design space of eXplainable swarm (xSwarm): experts perspective. CoRR abs/2309.01269 (2023)
2022
[c9]
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  - conf/dars/NaisehSR22
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Mohammad Naiseh, Mohammad Divband Soorati, Sarvapali D. Ramchurn:
Outlining the Design Space of eXplainable Swarm (xSwarm): Experts' Perspective. DARS 2022: 28-41
[c8]
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  - conf/educon/NaisehBR22
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Mohammad Naiseh, Caitlin M. Bentley, Sarvapali D. Ramchurn:
Trustworthy Autonomous Systems (TAS): Engaging TAS experts in curriculum design. EDUCON 2022: 901-905
[c7]
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  - conf/eics/NaisehBRWAA22
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Mohammad Naiseh, Caitlin M. Bentley, Sarvapali D. Ramchurn, Elizabeth Williams, Edmond Awad, Christophe Alix:
Methods, Tools and Techniques for Trustworthy Autonomous Systems (TAS) Design and Development. EICS (Companion) 2022: 66-69
[i2]
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  - journals/corr/abs-2202-07447
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Mohammad Naiseh, Caitlin M. Bentley, Sarvapali D. Ramchurn:
Trustworthy Autonomous Systems (TAS): Engaging TAS experts in curriculum design. CoRR abs/2202.07447 (2022)
[i1]
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  - journals/corr/abs-2207-09543
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Jediah R. Clark, Mohammad Naiseh, Joel E. Fischer, Marise Galvez Trigo, Katie J. Parnell, Mario Brito, Adrian Bodenmann, Sarvapali D. Ramchurn, Mohammad Divband Soorati:
Industry Led Use-Case Development for Human-Swarm Operations. CoRR abs/2207.09543 (2022)
2021
[j2]
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  - journals/computer/NaisehCAJA21
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Mohammad Naiseh, Deniz Cemiloglu, Dena Al-Thani, Nan Jiang, Raian Ali:
Explainable Recommendations and Calibrated Trust: Two Systematic User Errors. Computer 54(10): 28-37 (2021)
[j1]
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  - journals/www/NaisehAJA21
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Mohammad Naiseh, Dena Al-Thani, Nan Jiang, Raian Ali:
Explainable recommendation: when design meets trust calibration. World Wide Web 24(5): 1857-1884 (2021)
[c6]
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  - conf/besc/NaisehAA0A21
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Mohammad Naiseh, Reem S. Al-Mansoori, Dena Al-Thani, Nan Jiang, Raian Ali:
Nudging through Friction: An Approach for Calibrating Trust in Explainable AI. BESC 2021: 1-5
[c5]
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  - conf/persuasive/CemilogluNCOA21
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Deniz Cemiloglu, Mohammad Naiseh, Maris Catania, Harri Oinas-Kukkonen, Raian Ali:
The Fine Line Between Persuasion and Digital Addiction. PERSUASIVE 2021: 289-307
2020
[c4]
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  - conf/rcis/AldhayanNMA20
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Manal Aldhayan, Mohammad Naiseh, John McAlaney, Raian Ali:
Online Peer Support Groups for Behavior Change: Moderation Requirements. RCIS 2020: 157-173
[c3]
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  - conf/rcis/NaisehJMA20
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Mohammad Naiseh, Nan Jiang, Jianbing Ma, Raian Ali:
Explainable Recommendations in Intelligent Systems: Delivery Methods, Modalities and Risks. RCIS 2020: 212-228
[c2]
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Mohammad Naiseh:
Explainability Design Patterns in Clinical Decision Support Systems. RCIS 2020: 613-620
[c1]
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  - conf/worldcist/NaisehJMA20
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Mohammad Naiseh, Nan Jiang, Jianbing Ma, Raian Ali:
Personalising Explainable Recommendations: Literature and Conceptualisation. WorldCIST (2) 2020: 518-533

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