131 citations · 216 across the 12 of their papers we have counts for
12 papers
Understanding Physiological Responses of Students Over Different Courses
Soundariya Ananthan, Nan Gao, Flora D. Salim
Student engagement plays a vital role in academic success with high engagement often linked to positive educational outcomes. Traditionally, student engagement is measured through…
Critiquing Self-report Practices for Human Mental and Wellbeing Computing at Ubicomp
Nan Gao, Soundariya Ananthan, Chun Yu +2
Computing human mental and wellbeing is crucial to various domains, including health, education, and entertainment. However, the reliance on self-reporting in traditional research…
Leveraging Large Language Models for Generating Mobile Sensing Strategies in Human Behavior Modeling
Nan Gao, Zhuolei Yu, Yue Xu +4
Mobile sensing plays a crucial role in generating digital traces to understand human daily lives. However, studying behaviours like mood or sleep quality in smartphone users requir…
Exploring Emotional and Social Dynamics in Mobile Usage During Home Confinement
Nan Gao, Sam Nolan, Kaixin Ji +5
Home confinement, a situation experienced by individuals for reasons ranging from medical quarantines, rehabilitation needs, disability accommodations, and remote working, is a com…
Investigating the Effects of Mood & Usage Behaviour on Notification Response Time
Judith S. Heinisch, Nan Gao, Christoph Anderson +3
Notifications are one of the most prevailing mechanisms on smartphones and personal computers to convey timely and important information. Despite these benefits, smartphone notific…
Individual and Group-wise Classroom Seating Experience: Effects on Student Engagement in Different Courses
Nan Gao, Mohammad Saiedur Rahaman, Wei Shao +2
Seating location in the classroom can affect student engagement, attention and academic performance by providing better visibility, improved movement, and participation in discussi…
Investigating the Reliability of Self-report Data in the Wild: The Quest for Ground Truth
Nan Gao, Mohammad Saiedur Rahaman, Wei Shao +1
Inferring human mental state (e.g., emotion, depression, engagement) with sensing technology is one of the most valuable challenges in the affective computing area, which has a pro…
Understanding occupants' behaviour, engagement, emotion, and comfort indoors with heterogeneous sensors and wearables
Nan Gao, Max Marschall, Jane Burry +2
We conducted a field study at a K-12 private school in the suburbs of Melbourne, Australia. The data capture contained two elements: First, a 5-month longitudinal field study In-Ga…
Generative Adversarial Networks for Spatio-temporal Data: A Survey
Nan Gao, Hao Xue, Wei Shao +5
Generative Adversarial Networks (GANs) have shown remarkable success in producing realistic-looking images in the computer vision area. Recently, GAN-based techniques are shown to…
n-Gage: Predicting in-class Emotional, Behavioural and Cognitive Engagement in the Wild
Nan Gao, Wei Shao, Mohammad Saiedur Rahaman +1
The study of student engagement has attracted growing interests to address problems such as low academic performance, disaffection, and high dropout rates. Existing approaches to m…
Transfer Learning for Thermal Comfort Prediction in Multiple Cities
Nan Gao, Wei Shao, Mohammad Saiedur Rahaman +3
HVAC (Heating, Ventilation and Air Conditioning) system is an important part of a building, which constitutes up to 40% of building energy usage. The main purpose of HVAC, maintain…
Predicting Personality Traits from Physical Activity Intensity
Nan Gao, Wei Shao, Flora D Salim
Call and messaging logs from mobile devices have been used to predict human personality traits successfully in recent years. However, the widely available accelerometer data is not…