About me

I am a PhD student at the University of Nottingham Ningbo China (UNNC) and a team member of the Brain and Physiological Data Group at the University of Nottingham.

My main research interests are in the field of Human Computer Interaction (HCI). I am particularly interested in understanding users' preferences and current mental workload through their physiological feedback (brain activity, eye movement patterns, etc.). My research currently focuses on exploring the correlation between users' Cognitive Style and their fNIRS data in the Information Retrieval process, aiming to provide insight into future search engine interface design.

What I'm doing

  • HCI icon

    Human Computer Interaction

    Understand the interaction between users and interfaces and explore how to implement human-centered design.

  • MWL icon

    Mental Workload

    Assess the user's mental workload when involved in different HCI tasks to better understand how to design user interfaces.

  • cognitive style icon

    Cognitive Style

    Capture users' cognitive styles to understand their preferences for information storage and processing to develop a more personalized user interface.

  • fNIRS icon

    Brain Activity

    Detect user's mental workload and cognitive styles via their brain activities.

Resume

Education

  1. University of Nottingham Ningbo China

    2023 — Present

    PhD student in the direction of HCI and physiological feedback. Under the supervision of Dr. Matthew Pike, Dr. Max L. Wilson, Dr. Boon Giin Lee, and Prof Dave Towey.

  2. University of Nottingham

    2021 — 2022

    MSc in Human Computer Interaction in the First Class. I completed my MSc project under the supervion of Dr. Max L. Wilson. My project focused on exploring the impact of Verbal-Imagery Cognitive Style on web search behaviour and mental workload using fNIRS data.

  3. University of Nottingham Ningbo China

    2017-2021

    BSc (Hons) in Computer Science with Artificial Intelligence in the First Class. I completed my final year project under the supervision of Dr. Matthew Pike. This project examined the impact of various Cockpit Display Interfaces on novice pilots’ mental workload and situational awareness. It was awarded "Distinguished Final Year Project in Computer Science, 2020-2021".

My skills

  • HCI Research
    80%
  • fNIRS signal Process
    70%
  • Machine Learning for fNIRS data
    50%
  • PsychoPy
    90%
  • Python
    80%

Publications

Blog