Key Projects (8)

This page lists a few key projects in reverse chronological order. I have a strong collaboration network in Australia, China, Europe, the United States, etc. Please contact me for more information if you are interested in working or collaborating on any of these projects.

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Smart Participatory Design with Hybrid Network Framework of Behavioral Monitoring: Understanding the Use of Health-Related Short Videos among Adolescents


This work investigates the needs of adolescents on short video platforms and engages them in the participatory design process, which is an extension of my previous work on empowering people to use the right health information to benefit themselves. Additionally, with rapid advancement in deep learning and high-resolution cameras, artificial intelligence (AI)-based algorithms are now possible to analyse users’ reactions quickly and accurately without human supervision. This project innovates the participatory design methodology by introducing an AI-based video algorithm to capture adolescents’ feedback in the participatory design process.
Key Publications
  1. PCI Pang, M Munsie, S Chang, C Tanner, C Walker
    Journal of Medical Internet Research, 2023, 25, e44733, doi:10.2196/44733

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AI in Education and Education Data Mining


This research applies AI and information technologies to improve education through the use of education data mining (EDM). EDM and AI-driven education platforms are common tools for tracking students’ performance in their learning journeys. In most cases, the platforms are used by all students and their learning activities are recorded. However, due to the differences in education systems, legal requirements and teaching approaches, EDM models and AI applications may not be fully usable depending on the context. This project is an umbrella one to explore various issues in this area and proposes both theoretical and computational solutions.
Key Publications
  1. KI Chan, PCI Pang, W Wei
    Proceedings of IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE 2023), 2023, pp. 1-8, Auckland, New Zealand, 27 Nov - 1 Dec 2023, doi:10.1109/TALE56641.2023.10398348
  2. KI Chan, PIS Lei, PCI Pang
    Proceedings of the 9th International Conference on Education and Training Technologies (ICETT 2023), 2023, pp. 1-7, Macao, China, 21-23 Apr 2023, doi:10.1145/3599640.3599659
  3. PC Yau, Q Cao, D Wong, P Pang, S Kan
    Proceedings of the 2022 5th International Conference on Education Technology Management (ICETM '22), 2022, pp. 59-63, ACM, 16-18 Dec 2022, doi:10.1145/3582580.3582591
  4. J Li, H Lai, PCI Pang, KLE Law
    Proceedings of the 10th International Conference on Information Technology (ICIT 2022), 2022, pp. 190-196, Shanghai, China, 23-26 Dec 2022, doi:10.1145/3582197.3582230

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Fertility After Cancer Predictor (FoRECAsT)


This is a collaboration with Dr Michelle Peate at the University of Melbourne and others. Breast cancer is the most frequently diagnosed cancer in reproductive aged women and many women are diagnosed before they have started or completed their families. These women then need to deal with the consequences of treatment, such as potential infertility. Thus, being able to provide women with information about how their fertility will be affected by treatment is important. This can help them to make decisions around fertility preservation prior to starting adjuvant treatment. The aim of this study is to develop an online fertility predictor targeted at young women with breast cancer. This tool will be available to women in order to inform decision making around breast cancer treatments.
Key Publications
  1. Z Edib, Y Jayasinghe, M Hickey, L Stafford, RA Anderson, HI Su, K Stern, C Saunders, A Anazodo, M Macheras-Magias, S Chang, P Pang, F Agresta, L Chin-Lenn, W Cui, S Pratt, A Gorelik, M Peate
    BMJ Open, 2020, 10, e033669, doi:10.1136/bmjopen-2019-033669

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Investigating the Role of Technologies in Participant Recruitment and Engagement in Health Research


This study aims to investigate issues around participant recruitment and engagement in health research, and to use technologies to improve these issues. Health research often carries out human-based studies and clinical trials which need to recruit participants. However, do we consider the needs of the potential participants in the process? What are their actual needs? What do they expect to get from participating a research project? In this study, we expect to learn more about the thoughts of the participants and look for opportunities to use latest technologies to better link researchers and participants.
Key Publications
  1. PCI Pang, S Chang, K Verspoor, O Clavisi
    Journal of Medical Internet Research, 2018, 20(10), e12094, doi:10.2196/12094
  2. PCI Pang, O Clavisi, S Chang
    Proceedings of Health Informatics Conference 2017 (HIC 2017), 2017, Brisbane, Australia, pp. 104-111, doi:10.3233/978-1-61499-783-2-104

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#misCOURAGE Down Under


The aim of this study is to explore women’s online health-seeking behaviours at the time of miscarriage and their views on the design and content of a website to host The Australian #misCOURAGE Campaign. The team intends to use the information from interviews and a focus group with women who have experienced miscarriage to develop and refine a pregnancy-related website which will ultimately provide information, advice, support and resources for women affected by miscarriage and host The Australian #misCOURAGE Campaign and Survey.
Key Publications
  1. PCI Pang, M Temple-Smith, C Bellhouse, VH Trieu, L Kiropoulos, H Williams, A Coomarasamy, J Brewin, A Bowles, J Bilardi
    Proceedings of Health Informatics Conference 2018 (HIC 2018), 2018, Sydney, Australia, pp. 118-125, doi:10.3233/978-1-61499-890-7-118

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Health Information-Seeking Behaviours


In this project, we try to understand how lay-people search for health information on the Internet. We have found that people are more exploratory in different scenarios. Additionally, we have derived a model of health information-seeking behaviours. A proof-of-concept website was developed to better support various health information-seeking behaviours. Its source code can be found on GitHub and a sample video can be viewed here.
Key Publications
  1. PCI Pang, S Chang, K Verspoor, J Pearce
    Journal of Medical Internet Research, 2016, 18(6), e145, doi:10.2196/jmir.5661
  2. PCI Pang, S Chang, K Verspoor, J Pearce
    Proceedings of the 20th Pacific Asia Conference on Information Systems (PACIS 2016), 2016, pp. 1-16, Chiayi, Taiwan, 27 Jun - 1 Jul 2016, AIS
  3. PCI Pang, K Verspoor, S Chang, J Pearce
    Health and Technology, 2015, 5(1), pp. 45-55, Springer Berlin Heidelberg, doi:10.1007/s12553-015-0096-0
  4. PCI Pang, S Chang, J Pearce, K Verspoor
    Proceedings of the 18th Pacific Asia Conference on Information Systems (PACIS 2014), 2014, pp. 1-16, Chengdu, China, 24-28 Jun 2014, AIS

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Applying Wikipedia Analysis Methodology in Teaching and the Development of Related Tools


This research investigates how a "map-like" visualisation can be applied in a teaching environment with tablets (iPad). This software enables the possibility of "exploring" new knowledge in class. This project is supported by the Science and Technology Development Fund (FDCT), Macau, China.
Key Publications
  1. CI Pang, SS Si, SK Chio
    International Journal of Future Computer and Communication, 2014, 3(1), pp. 45-49

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Map-like Wikipedia Visualisation


This project proposes a set of methods to transform the content of Wikipedia into a "map-like" visualisation. As such, people can visually perceive the relationships among Wikipedia categories and co-authoring efforts between Wikipedia articles in an intuitive way.
Key Publications
  1. RP Biuk-Aghai, CI Pang, YW Si
    Future Generation Computer Systems, 2014, 31, pp. 120-133, Elsevier, doi:10.1016/j.future.2013.04.001
  2. CI Pang, RP Biuk-Aghai
    Proceedings of the 7th International Symposium on Wikis and Open Collaboration (WikiSym 2011), 2011, pp. 124-133, Mountain View, USA, 3-5 Oct 2011, ACM, doi:10.1145/2038558.2038579