A5085632312- Personal Information Management and User Behavior
- Expert finding and Q&A systems
- Information Retrieval and Search Behavior
- Mobile Crowdsensing and Crowdsourcing
- Advanced Text Analysis Techniques
- Technology Adoption and User Behaviour
- COVID-19 epidemiological studies
- COVID-19 Pandemic Impacts
- Electronic Health Records Systems
- Data Quality and Management
- Web Data Mining and Analysis
- Auction Theory and Applications
- Advanced battery technologies research
- Software Engineering Research
- Mobile Health and mHealth Applications
- Fuel Cells and Related Materials
- Homelessness and Social Issues
- Educational Research and Analysis
- Transportation and Mobility Innovations
- Electrocatalysts for Energy Conversion
- Knowledge Management and Sharing
- Healthcare Systems and Technology
- Data-Driven Disease Surveillance
- Human Mobility and Location-Based Analysis
- Evacuation and Crowd Dynamics
University of Sheffield
2016-2024
Jiangsu University of Science and Technology
2023
University College London
2019-2022
The mood of individuals in the workplace has been well-studied due to its influence on task performance, and work engagement. However, effect not studied detail context microtask crowdsourcing. In this paper, we investigate one's mood, a fundamental psychosomatic dimension worker's behaviour, their interaction with tasks, performance perceived To end, conducted two comprehensive studies; (i) survey exploring perception crowd workers regarding role shaping work, (ii) an experimental study...
The development of cost-efficient electrocatalysts for oxygen evolution reaction (OER) with high efficiency is crucial to widespread applications water splitting hydrogen production. In this work, porous three-dimensional (3D) amorphous NiFe nanoaggregates composed interconnected nanograins were synthesized by a cyanogel-based wet chemical reduction method using the NiCl2/Na4Fe(CN)6 cyanogel as precursor and NaBH4 reducing agent. influence incorporated Fe amount was carefully studied...
The COVID-19 pandemic has had a profound impact on the life of our cities. While we have observed major disruption to collective activity, aspects urban continued. In this study, explore changed spatiotemporal nature mobility demand. Through comparative analysis New York City taxi records data, observe how relative demand for taxis displaced across land use zones and concentrated during daylight hours. We also find changes in payment methods that counter public health advice. These findings...
In England, digital technologies are exploited to transform the way health and social care is provided encompass a wide range of hardware devices software that used in all aspects care. However, little known about extent which providers differ technology capabilities how this relates geographical regional differences capacities resources.
Evaluating user engagement with search is a critical aspect of understanding how to assess and improve information retrieval systems. While standard techniques for measuring use questionnaires, these are obtrusive interaction, can only be collected at acceptable intervals. The problem we address whether there less more automatic way users perceive the process outcome. Log files collect behavioural signals (e.g., clicks, queries) from on large scale. In this paper, investigate potential...
Abstract The COVID-19 pandemic has posed novel risks related to the indoor mixing of individuals from different households and challenged policymakers adequately regulate this behaviour. While in many cases household visits are necessary for purpose social care, they have been linked broadening community transmission virus. In study we propose a novel, privacy-preserving framework measurement visitation at national regional scales, making use passively collected mobility data. We implement...
Understanding the influence of users' opinions on their search behavior together with inherent biases in web has garnered widespread interest recent times. This is largely due to implications promoting critical thinking, explaining phenomena such as political polarization, or manifestation echo chambers. It important understand how personal can bias interaction results. Moreover, there a lack understanding impact user intents, namely non-purposeful browsing versus searching pre-defined goal,...
Serendipity is highly valued as a process for developing original solutions to problems and innovation. However, it difficult capture thus measure, but novelty key critical indicator. In this work, we investigate the relationship between user behavioural actions perceived in context of browsing. 180 participants completed an open-ended browsing task, while their behaviour were tracked. Each seven-action sequence was analysed with respect participant's perception Novelty. Results showed that...
Typically, interactive information retrieval (IIR) system evaluations assess search processes and outcomes using a combination of two types measures: 1. user perception (e.g. users? attitudes the experience outcome); 2. behaviour time counts various actions including mouse keyboard clicks). In general, we assume that they are indicative performance, opinion). However, is dynamic process with changing outcomes. Therefore, neither measure solely provides holistic way evaluating search. On one...
Search is designed primarily for human use, but we still lack efficient user models to evaluate search systems from the user's perspective. The purpose of this research identify behaviour patterns during process, and develop a model illustrate relationships between perception, in order predict engagement cost-effective manner by using only data. To achieve this, will use three datasets collected previous studies containing both behavioural data system log files perception Ultimately, yield...
<sec> <title>BACKGROUND</title> In England, digital technologies are exploited to transform the way health and social care is provided encompass a wide range of hardware devices software that used in all aspects care. However, little known about extent which providers differ technology capabilities how this relates geographical regional differences capacities resources. </sec> <title>OBJECTIVE</title> This paper aims identify set have been deployed by National Health Services clinical...
The UK government announced its first wave of lockdown easing on 10 May 2020, two months after the non-pharmaceutical measures to reduce spread COVID-19 were introduced 23 March 2020. Analysis reported case rate data from Public Health England and aggregated anonymised crowd level mobility shows variability across local authorities in UK. A locality-based approach is needed, enabling public health associated social care services rapidly respond emerging hotspots infection. National will hide...