Lin Ni

• University of Auckland

Objective Anxiety disorders are highly prevalent around the world and are associated with significant disability, comorbidity and costs to society. Digital tools have the potential to deliver equitable, convenient and sustainable interventions for anxiety. We aimed to co-design and pilot-test an in-the-moment intervention to help young people manag...

Learnersourcing offers great potential for scalable education through student content creation. However, predicting student performance on learnersourced questions, which is essential for personalizing the learning experience, is challenging due to the inherent noise in student-generated data. Moreover, while conventional graph-based methods can ca...

As wearable devices, which allow individuals to track and self-manage their health, become more ubiquitous, the opportunities are growing for researchers to use these sensors within interventions and for data collection. They offer access to data that are captured continuously, passively, and pragmatically with minimal user burden, providing huge a...

UNSTRUCTURED As wearable devices, which allow individuals to track and self-manage their health, become more ubiquitous, the opportunities are growing for researchers to use these sensors within interventions and for data collection. They offer access to data that are captured continuously, passively, and pragmatically with minimal user burden, pro...

Abstract—Business process management focuses on the automatic discovery and optimisation of business process models for a wide range of business scenarios. At the same time, the development of natural language processing (NLP), in particular some large-scale pre-trained language models such as BERT and GPT, has recently achieved great success and b...

Automated question quality rating (AQQR) aims to evaluate question quality through computational means, thereby addressing emerging challenges in online learnersourced question repositories. Existing methods for AQQR rely solely on explicitly-defined criteria such as readability and word count, while not fully utilising the power of state-of-the-ar...

Automated question quality rating (AQQR) aims to evaluate question quality through computational means, thereby addressing emerging challenges in online learnersourced question repositories. Existing methods for AQQR rely solely on explicitly-defined criteria such as readability and word count, while not fully utilising the power of state-of-the-ar...

This paper proposes a chatbot framework that adopts a hybrid model which consists of a knowledge graph and a text similarity model. Based on this chatbot framework, we build HHH, an online question-and-answer (QA) Healthcare Helper system for answering complex medical questions. HHH maintains a knowledge graph constructed from medical data collecte...

This paper proposes a chatbot framework that adopts a hybrid model which consists of a knowledge graph and a text similarity model. Based on this chatbot framework, we build HHH, an online question-and-answer (QA) Healthcare Helper system for answering complex medical questions. HHH maintains a knowledge graph constructed from medical data collecte...

This work employs an agent-based approach to model indoor post-earthquake evacuations. The model incorporates heterogeneous agents with a dynamic physical indoor environment that is damaged by the earthquake. To realistically recreate the decision making process of building occupants, we use a dual-graph model which combines a navigation mesh to su...

Service providers — from public institutions to primary care facilities — need to constantly attend to clients’ inquiries to provide useful information and directive guidelines. Ensuring high quality service is challenging as it not only demands detailed domain-specific knowledge, but also the ability to quickly understand the clients’ issues throu...

The paper reports on a proof-of-concept of \(\mathsf {Mandy}\), a primary care chatbot system created to assist healthcare staffs by automating the patient intake process. The chatbot interacts with a patient by carrying out an interview, understanding their chief complaints in natural language, and submitting reports to the doctors for further ana...