Hey!

I completed my undergraduate studies in advertising with a focus on new media strategy. Currently, I am expanding my expertise in data analysis and researching large language models. My research lies at the intersection of media psychology, human-computer interaction, and computational social science. I study how digital media—particularly social media platforms and online games—shape users’ emotions, identities, and social behaviors. My work uses natural language processing, semantic analysis, and survey experiments to explore topics such as gendered communication in gaming, loneliness in digital spaces, and behavioral interventions to promote civic engagement. My aim is to leverage data-driven methods to understand and improve the psychological and social impacts of emerging media technologies.

Specifically, I am curious about the concept of meaningful media use—how people engage with games or communication technologies not just for entertainment, but for connection, identity expression, learning, and even healing. One of my current research interests examines the interplay between visual attention and in-game communication using eye-tracking technology, grounded in media psychology theories. The aim is to understand how communication and gaze behavior shape players’ engagement, team bonding, and sense of flow. Key research questions in this area include:

• How do players allocate visual attention before, during, and after in-game communication events?
• How does the content or tone of communication (e.g., strategic, emotional, social) influence visual attention patterns?
• How do synchronized visual attention and effective communication contribute to a player’s sense of engagement, team bonding, and flow?

This research is grounded in prominent media psychology theories, specifically drawing on Social Presence Theory (explaining how media users perceive others as real and present in mediated interactions), the Limited Capacity Model of Motivated Mediated Message Processing (LC4MP) (suggesting that media users have limited cognitive resources, and attention allocation is a key determinant of message processing), and Flow Theory (describing a mental state of deep focus and enjoyment when skill and challenge are in balance).

Methodologically, I integrate quantitative tools such as surveys, experiments, and machine learning (e.g., sentiment analysis and behavioral data mining), along with qualitative methods where appropriate. For this type of study, this involves using a eye-tracking system, screen recording software, and audio/video communication capture tools during gameplay sessions. Data collection includes eye-tracking metrics like fixation duration, saccades, scanpaths, and heatmaps during communication events. It also involves communication analysis by coding communication types (strategic, emotional, social) using a conversation analysis framework, and the use of survey instruments to measure perceived engagement (User Engagement Scale), team bonding (Team Identification Scale), and flow (Flow Short Scale).

In the future, I aim to contribute to both theory and practice—offering insights into responsible game design, social media moderation, and user-centered HCI development. Findings from studies like this are expected to provide empirical insights into how attentional processes and mediated communication shape social and cognitive experiences in digital games, informing game design and team training in virtual environments, and contributing to broader theories of mediated interaction.

I am also interested in photography. My interest in photography and videography was inspired by the cityscapes and natural beauty of my hometown, Ningbo, China. I enjoy capturing landscapes, exploring unique perspectives with drones, and creating distinctive images using film cameras.

Note

This website is still under construction

Here is my computer build.

Here is my computer test result.