Research Grants Obtained by Academic Staff from 2019 (in reverse chronological order)

 

UGC Grants

Staff Name Project Title Capacity Funding Source and Amount Estimated Project Period Abstract
Dr. Connie YUEN Development and Pilot Test for an AI-based Mobile App to act as Speech Language Pathology Robot for Long-term Treatment of Cantonese-speaking Children with Developmental Speech Sound Disorders (UGC/FDS15/E01/21) PI UGC/FDS (HK$1,412,117) 1/1/2022 – 30/06/2024 The project aims to design and develop an AI mobile app to act as a speech language pathology robot to provide training to children with speech sound disorders at home. The data collected by the mobile app can be used for researchers and speech language pathologists for further analysis and to better design speech sound disorders therapy in the future.
Prof. Louis LEUNG & Dr. Connie YUEN Positive Technology: Possible Synergies between Emerging Technologies and Positive Psychology (UGC/IIDS15/H01/21) Co-I UGC/IIDS (HK$601,838) 1/1/2022 – 31/12/2023 Given that the COVID-19 epidemic has further intensifying the worsening mental health issues (depression and anxiety disorders) regionally and globally, advancements in various forms of digital technologies not only can support timely diagnosis and tailored treatment (particularly for clinical population) but also enrich the possible development and fully utilization of PT in positive psychology preventive intervention that can reach a majority of non-clinical population to face their hardships and adversities during and after COVID-19. The proposed IIDS project will organize an international conference on the theme of “Positive Technology: Possible Synergies between Emerging Technologies and Positive Psychology”. The international conference will include six plenary lectures, two panel discussions, eight parallel sessions, two poster sessions, pre- and post-conference workshops.
Dr. Connie YUEN Preparing for the launching of Esports: An interdisciplinary and holistic perspective in prevention of teenage gaming addiction problem based on Bronfenbrenner's Bioecological model in the era of Esports (UGC/IDS(C)15/M01/20) PI UGC/FDS (HK$1,192,011) 1/1/2021 – 31/12/2023 This research project aims at investigating the possibility of employing Urie Bronfenbrenner’s bioecological model (1977, 1979) for the holistic analysis of gaming addiction and the development of a prevention programme in the context of burgeoning esports culture, supported by the massive promotion of e-entertainment and e-gaming entrepreneurs and the influence of a newly-evolved community of Key-Opinion Leaders (KOL).
Dr. Connie YUEN Developing and Validating Cloud Intelligence Assessment System on Identification on Developmental Dyslexia of Chinese Language (UGC/FDS15/E02/20) PI UGC/FDS (HK$1,192,011) 1/1/2021 – 31/12/2022 The project will design, develop and verify an intelligent dyslexia assessment system on the cloud. The assessment system can be used by assessment centres, teachers and parents as a simple and fast way of identifying developmental dyslexia. The data collected by the assessment system will be useful for researchers in analysing the performance of people with dyslexia and understanding how to effectively identify people with dyslexia.
Prof. Louis LEUNG Stress-Buffering Effects of Coping Strategies and Social Supports on Psychological Distress: A Longitudinal Panel Study of the Antecedents of Problematic Social Media Use (UGC/FDS15/H13/20) PI UGC/FDS (HK$876,003) 1/1/2021 – 31/12/2022 The research aimed to bridge these gaps in the literature by further explicating problematic social media use in the context of its addictive symptoms and examining the roles of both external (i.e., life stress and technostress) and individual antecedents (i.e., deficient self-regulation and fear of missing out [FoMO]) to provide a holistic overview of why and how problematic social media use occurs and influences mental health.

 

URG Grants

Staff Name Project Title Capacity Funding Source and Amount Estimated Project Period Abstract
Dr. Zuneera UMAIR
Towards Context and Location aware In-store Recommendation Systems
(URG/20/04)
PI SYU/URG (HK$40,000) 2021 – 2023  
Prof. Louis LEUNG Extending the Theory of Planned Behavior: A Study of Awareness-Knowledge, Uncertainties, Risks, and Benefits Factors Affecting the Adoption of Internet of Things (IoT) (URG/19/04) PI SYU/URG (HK$40,000)  1/7/2021 – 31/12/2022 The research is to determine the specific risks that affect the adoption to IoT products, and their underlying causes to the adoption and non-adoption. Another goal is (1) to develop a long-term research program to track the diffusion and adoption of IoT over the next several years and (2) to extend the TPB model with psychographic (e.g. lifestyle and personalities) and technographic predictors for IoT adoption .

 

Other Grants

Staff Name Project Title Capacity Funding Source and Amount Estimated Project Period Abstract
Dr. Connie YUEN Development of Online Teaching, Learning and Assessment Solutions (T01/QESS/2020 Implementation team member QESS (HK$22,651,590) 1/1/2021 – 31/12/2023 Due to the suspension of face-to-face teaching, there is an imminent necessity for self-financed higher education sector to advance their teaching and learning platforms. Through developing a video communication solution that enables real time interactive teaching and online assessment, and online and blended-learning courses informed by game elements with VR/AR technologies, the project aims to bring the teaching quality of self-financed higher education sector up to par with UGC-funded universities.
Dr. Alex KWOK
Multi-Criteria Decision-Making Method for Choosing Downward Referral Hospitals
(Grant no.: 72001091)
PI National Natural Science Foundation of China (NSFC) (HK$288, 040) (RMB¥240,000) 1/2021 – 12/2023
China’s hierarchical medical treatment system is facing a problem of “easy to upward-referral, hard to downward-referral”, resulting in a severe imbalance in the allocation of medical resources. It is believed that enhancing patients’ participation in medical referral decisions is the key to encourage downward referral, as it can help to improve patients’ understanding of their own conditions and the targeted referral hospitals. Therefore, constructing a decision support system for patient participation is of great significance. This project aims at solving the complicated decision-making process during selecting downward referral hospitals, which is indeed a multi-criteria decision-making problem that involves decision-makers’ risk attitudes, information uncertainty, and non-monotonic changing conditions, based on Vague set theory and TOPSIS theory. This study includes three main parts: First, systematic research and meta-analysis are used to summarize the relevant research results to obtain a set of evaluation criteria for choosing hospitals. Then, logical deductive reasoning and mathematical proof are used to improve the mathematical structure of the ague set TOPSIS theory. Finally, randomized controlled trials are used to verify the rationality of the newly designed multi-criteria decision-making theory. This project should provide theoretical support for the construction of a decision support system for choosing downward referral hospitals. It should also provide evidence on the effectiveness of the multi-criteria decision theories. This study is of great significance in terms of academic and practical application.
Dr. Alex KWOK
Multi-Criteria  Decision-Making  method  for  Choosing  Emergency  Plans for Tourism Festival Activities
(Grant no.: 2020A1515110889)
PI Guangdong Basic and Applied Basic Research Foundation (HK$120,017) (RMB¥100,000) 10/2020 – 9/2023 With the fast growth of Guangzhou’s economy and culture, the city’s festival tourism events (such as international conferences, exhibits, concerts, cultural festivals, and sports events) are increasing in quantity and size. Society is concerned about the festival tourism events’ safety. Participants in tourism events are frequently dense and mobile. Hence, if a safety incident happens, the social impact will be more significant. As a result, choosing an emergency plan for tourism events is important. Selecting an emergency plan for tourist festivals is a multi-criteria decision-making (MCDM) problem involving uncertainty and decision-makers’ risk preferences. Recent MCDM research has neglected to address how decision-makers prefer ambiguous information in decisions and has failed to evaluate the rationality of MCDM approaches. Therefore, based on Vague Set Theory and TOPSIS method, this project is going to study this MCDM problem with decision-maker risk preference and information uncertainty. This project is going to address the challenges of disputed distance measuring and disregarding the decision makers' attitude toward unclear information in traditional TOPSIS, fuzzy TOPSIS, and Vague set TOPSIS methods. The objective is to assist festival events security personnel in swiftly and logically picking the best acceptable option from all conceivable contingency plans before the event. Besides, an MCDM methods validation method is investigated to address the issue of past studies on MCDM methods failing to effectively validate the rationality of MCDM methods from the perspective of decision-makers. This project should help build a decision support system for choosing emergency plans for festival tourism events. It should also provide a methodological guide for evaluating MCDM methods. Both contributions have academic and practical significance.
Dr. Alex KWOK
Data-driven Manufacturing Enterprise Intelligent Decision-Making Technology and System
(Grant no.: 2019YFB1705401)
Co-PI National Key Research and Development Program of China (HK$15,926,233) (RMB¥13,270,000) 1/2020 – 12/2022  
Dr. Alex KWOK
Design of Zhuhai Wanshan Islands Transportation Network and Public Service Cloud Platform Based on Big Data
(Grant no.: [2020]071)
Co-PI Department of Natural Resources of Guangdong Province of China (HK$1,200,168) (RMB¥1,000,000) 1/2020 – 12/2022