The University of Southampton
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Electronics and Computer Science

Telephone:
+447846109666
Email:
m.naiseh@soton.ac.uk

 PhD

Dr Mohammad Naiseh is a Research Fellow in Trustworthy Autonomous Systems at the University of Southampton within the Faculty of Engineering and Physical Sciences.

Dr Naiseh works in the Trustworthy Autonomous Systems Hub (TAS-Hub), supporting and leading work packages in two agile projects: 'Inclusive Autonomous Vehicles', and 'Trustworthy Human-Swarm Partnerships'. Dr Naiseh is interested in how humans engage with autonomous systems and has worked on developing an engineering methodology for helping Explainable AI (XAI) designers to build interfaces with calibrated trust goal in mind.

Dr Naiseh is a mixed-methods researcher.  He designs experiments and conducts qualitative user research to guide the design of Human-Centred AI. Dr Naiseh is passionate about bridging emerging XAI techniques and user-centered design. Also, Dr Naiseh has a keen interest in studying user trust, which he defines as a crucial requirement of deploying AI-based solutions in real-world problems as it has dynamic nature (over-trust and under-trust). He focuses on the principles, methods and tools needed to engineer trust-aware technology to calibrate trust in such technologies. His current research trajectory is exploring how we can improve public understanding of underlying ML algorithms through explainablity, transparency, education and user-centred design.

Dr Naiseh received his PhD from the Department of Computing and Informatics group at Bournemouth University. The PhD titled "A Design Method for Explainable AI Interfaces to enhance trust calibration" to guide designers and developers in enhancing trust calibration through XAI interface design.

Research

Research interests

  • Human-AI teaming
  • Explainable AI

Publications

Naiseh, Mohammad, Clark, Jediah, Divband Soorati, Mohammad and Bossens, David , Sylvaine Tuncer (2021) Trusting machines? Cross-sector lessons from healthcare & security: conference report Southampton. University of Southampton 20pp. (doi:10.5258/SOTON/P0134).

Naiseh, Mohammad, Cemiloglu, Deniz, Al-Thani, Dena, Jiang, Nan and Ali, Raian (2021) Explainable Recommendations and Calibrated Trust: Two Systematic User Errors. Computer. (In Press)

Naiseh, Mohammad, Al-Thani, Dena, Jiang, Nan and Ali, Raian (2021) Explainable recommendation; when design meets trust calibration. World Wide Web, 24 (5), 1857-1884. (doi:10.1007/s11280-021-00916-0).

Cemiloglu, Deniz, Naiseh, Mohammad, Catania, Maris, Oinas-Kukkonen, Harri and Ali, Raian (2021) The Fine Line Between Persuasion and Digital Addiction. Ali, Raian, Lugrin, Birgit and Charles, Fred (eds.) In Persuasive Technology: PERSUASIVE 2021. vol. 12684, Springer. pp. 289-307 . (doi:10.1007/978-3-030-79460-6_23).

Naiseh, Mohammad, Jiang, Nan, Ma, Jianbing and Ali, Raian (2020) Explainable Recommendations in Intelligent Systems: Delivery Methods, Modalities and Risks. Dalpiaz, Fabiano, Zdravkovic, Jelena and Loucopoulos, Pericles (eds.) In Research Challenges in Information Science. RCIS 2020. vol. 385 LNBIP, Springer. pp. 212-228 . (doi:10.1007/978-3-030-50316-1_13).

Naiseh, Mohammad (2020) Explainability Design Patterns in Clinical Decision Support Systems. Dalpiaz, Fabiano, Zdravkovic, Jelena and Loucopoulos, Pericles (eds.) In Research Challenges in Information Science. RCIS 2020. vol. 385 LNBIP, Springer. pp. 613-620 . (doi:10.1007/978-3-030-50316-1_45).

Aldhayan, Manal, Naiseh, Mohammad, McAlaney, John and Ali, Raian (2020) Online Peer Support Groups for Behavior Change: Moderation Requirements. Dalpiaz, Fabiano, Zdravkovic, Jelena and Loucopoulos, Pericles (eds.) In Research Challenges in Information Science. RCIS 2020. vol. 385 LNBIP, Springer. pp. 157-173 . (doi:10.1007/978-3-030-50316-1_10).

Naiseh, Mohammad, Jiang, Nan, Ma, Jianbing and Ali, Raian (2020) Personalising explainable recommendations: Literature and conceptualisation. Rocha, lvaro, Adeli, Hojjat, Reis, Lus Paulo, Costanzo, Sandra, Orovic, Irena and Moreira, Fernando (eds.) In Trends and Innovations in Information Systems and Technologies. WorldCIST 2020. vol. 1160, Springer. pp. 518-533 . (doi:10.1007/978-3-030-45691-7_49).

Naiseh, Mohammad, Ramchurn, Sarvapali and Bentley, Caitlin (2022) Trustworthy Autonomous Systems (TAS): engaging TAS experts in curriculum design. 2022 IEEE Global Engineering Education Conference (EDUCON). 28 - 31 Mar 2022. 6 pp . (doi:10.1109/EDUCON52537.2022.9766663).

Contact

Telephone: +44 (0) 23 8059 447846109666

Email: m.naiseh@soton.ac.uk

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Contact

Telephone: +44 (0) 23 8059 3365

Email: pak1y21@soton.ac.uk

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LifeGuide: Online Behavioural Interventions

Research challenge and context

Interventions designed to influence people’s behaviour are a fundamental part of daily life. These can be personal advice, support and skills training from professionals such as doctors, or information disseminated through the media. 

However, advice on coping with health problems can be costly and is not always readily available to everyone. The Internet is a low-cost way of extending convenient healthcare for millions of people around the world to access 24 hours a day.

Numerous internet-based behavioural interventions had been developed but, as each intervention had to be programmed from scratch, the initial developments costs were high and the intervention could not be easily modified once it had been programmed.

A multidisciplinary team at Southampton, including academics from Psychology and Electronics and Computer Science, wanted to develop cost-effective web-based interventions that researchers and practitioners in the public, private and third sectors could retain control over, modify and reuse without having to buy expensive web programming support.

Our solution

People can get 24-hour access to online advice and support for a range of health interventions thanks to the world-leading LifeGuide software developed by researchers at Southampton.

The Southampton team developed the unique LifeGuide platform – the world’s first open source software that allows researchers who don’t have access to programming resources, the ability to create and modify online support for managing and preventing illness. There is no other existing software or research programme that allows non-programmers to develop these interventions.

 The interactive technology means that each individual’s situation, concerns and preferences can be used to provide a tailored support programme that includes delivering automated text or email reminders, personalised feedback, help with planning and the chance to communicate with health professionals.

The LifeGuide platform builds on previous Southampton research in the designing and implementing of software platforms to empower scientists with ability to create effective digital interventions. Previous Southampton projects such as myExperiment have developed platforms that enable scientists to share workflows and computer simulated experiments to promote transparency and reusability of scientific methods. These principles of reducing time-to-experiment, sharing expertise and avoiding reinvention have been embedded in the LifeGuide programme of work.

What was the impact

LifeGuide is having an international impact with academics globally using it to develop new, cost-effective digital interventions that can be modified and reused without the need to buy in expensive web programming support. The LifeGuide platform has facilitated a large international community of behavioural scientists and clinicians who are designing and trialling digital behaviour change interventions at scale, and the successful dissemination of these interventions has established new care pathways benefiting many thousands of patients and healthcare service providers.

The free LifeGuide software has been downloaded more than 1,000 times since 2009 and the LifeGuide Community website has nearly 3,000 members who are using the software to develop interventions across the UK and internationally.

LifeGuide is already being used in a range of initiatives including:

  • Disseminating an effective intervention to 435,000 members of the Royal College of Nursing to reduce the occurrence of hand dermatitis
  • Promoting hygienic behaviour to reduce the transmission of infection
  • Substantially reducing the prescribing of antibiotics in six European countries
  • Helping patients and health professionals to better manage numerous common and serious health problems such as asthma, dizziness, back pain, hypertension, weight loss, stroke rehabilitation and cancer
  • Supporting cochlear implant recipients remotely at home

Research collaborations with the LifeGuide team have also attracted well over £50m funding from the Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council, National Institute for Health Research, European Commission and medical charities.

Related projects

https://www.lifeguideonline.org/

Related publications

LifeGuide: a platform for performing web-based behavioural interventions

Software Design for Empowering Scientists

Understanding usage of a hybrid website and smartphone app for weight management: a mixed-methods study

Making online behavioural interventions mobile

The effect of timing and frequency of push notifications on usage of a smartphone-based stress management intervention: an exploratory trial

Feasibility of personalised remote long-term follow-up of people with cochlear implants

Find out more

Talk to our research team and find out more about this work.

Professor Mark Weal

Professor Gary Wills

Dr Jonathon Hare

Dr Don Cruickshank

Novel image capture and analysis

Organisations worldwide are using software and hardware developed at the University of Southampton for the capture, processing and analysis of visual and multimedia data.

Read More

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