Projects Archive - Citizen-Centric Artificial Intelligence Systems

Citizen-Centric AI for Resilient IoT Systems (CAIR)

Dr Zhaoxing Li — Thu, 28 Aug 2025 06:53:05 +0000

CAIR is a local, preference-aware smart-home assistant that turns everyday, loosely structured requests—such as “make the room comfortable” or “I want to relax”—into reliable actions. It addresses three persistent gaps in current assistants: difficulty interpreting vague or missing context, weak long-term adaptation to user preferences, and reliance on cloud services that can compromise privacy and […]

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LBKT: A LSTM BERT-based Knowledge Tracing Model for Long-Sequence Data

Dr Zhaoxing Li — Mon, 17 Mar 2025 15:49:47 +0000

The field of Knowledge Tracing (KT) aims to understand how students learn and master knowledge over time by analyzing their historical behaviour data. To achieve this goal, many researchers have proposed KT models that use data from Intelligent Tutoring Systems (ITS) to predict students’ subsequent actions. However, with the development of ITS, large-scale datasets containing […]

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Towards Citizen-Centric Multiagent Systems Based on LargeLanguage Models

Dr Zhaoxing Li — Mon, 17 Mar 2025 15:43:14 +0000

The rapid evolution of Large Language Models (LLMs), exemplified by GPT-4, has ushered in a transformative era in artificial intelligence (AI). This paper introduces the concept of Citizen-Centric Multiagent Systems based on Large Language Models (C-LLMAS) and advocates for LLMs as pivotal technology for this vision. We present a comprehensive framework that places citizens at […]

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HMCF: A Human-in-the-loop Multi-Robot Collaboration FrameworkBased on Large Language Models

Dr Zhaoxing Li — Mon, 17 Mar 2025 15:39:31 +0000

Rapid advancements in artificial intelligence (AI) have enabled robots to perform complex tasks autonomously with increasing precision. However, multi-robot systems (MRSs) face challenges in generalization, heterogeneity, and safety, especially when scaling to large-scale deployments like disaster response. Traditional approaches often lack generalization, requiring extensive engineering for new tasks and scenarios, and struggle with managing diverse […]

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Facilitating Automated Online Consensus Building through Parallel Thinking

Dr Zhaoxing Li — Mon, 17 Mar 2025 15:37:16 +0000

Consensus building is inherently challenging due to the diverse opinions held by stakeholders. Effective facilitation is crucial to support the consensus-building process and enable efficient group decision-making. However, the effectiveness of facilitation is often constrained by human factors such as limited experience and scalability. In this research, we propose a Parallel Thinking-basedFacilitation Agent (PTFA) that […]

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OneSight: A Unified Interface of Multi-Social Media Apps for DigitalWellbeing

Dr Zhaoxing Li — Mon, 17 Mar 2025 15:33:15 +0000

ABSTRACTThe digital era has heralded unprecedented connectivity and information accessibil-ity through social media platforms. While these platforms offer valuable benefits,their design mechanisms often promote addictive behaviours, leading to negativephysical and cognitive effects. This paper tackles the challenge of fostering a health-ier relationship with social media. A comprehensive survey involving 527 participantsfrom the UK reveals a […]

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Ethical Alignment of AI Systems

Jayati Deshmukh — Tue, 04 Mar 2025 14:12:17 +0000

This project focuses on the importance of ethical alignment in AI systems, particularly those designed with citizen end users in mind. It explores the intersection of responsible AI, socio-technical systems, and citizen-centric design. It proposes that addressing the ethical aspect of decisions in citizen-centric AI systems enhances trust and acceptance of AI technologies. We focus […]

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AI Otherwise

Dr Sarah Kiden — Sat, 25 Jan 2025 13:37:38 +0000

About the Study AI agents and assistants are increasingly being integrated into everyday life, and supporting decision-making, task automation, personalisation, and even companionship. To inform core values on the design of these assistants, human-centred researchers emphasise ongoing engagements with experts and non-experts to inform the design of future systems. AI Otherwise is a study conducted as […]

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EVtonomy

Dr Elnaz Shafipour — Thu, 07 Dec 2023 13:36:56 +0000

Personalised Electric Vehicle Charging Stop Planning Electric vehicles (EVs) are becoming increasingly important to combat climate change and achieve net-zero emissions, and many governments are supporting their widespread introduction to make this happen. However, charging is the biggest challenge preventing people from switching to electric vehicles (EV). Based on a study we conducted in April […]

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