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.

Given that the COVID-19 epidemic has further intensifying and worsening mental health issues regionally and globally, advancements in various forms of digital technologies not only can support timely diagnosis and tailored treatment 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 above theme and there will include six plenary lectures, two panel discussions, eight parallel sessions, two poster sessions, pre- and post-conference workshops.

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).

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.

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.

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 .

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.