Liam Kettle

Liam Kettle

UX & Human Factors Researcher

George Mason University

About Me

👋 Welcome! I’m a UX and Human Factors Researcher currently pursuing a PhD in Human Factors and Applied Cognition at George Mason University. I am passionate about accessible communication and enhancing system transparency for users with dedication to both qualitative and quantitative end-to-end research designs.

My research diverges into three domains:
🚘 Transparent vehicle-human communication
❤️ Accessible well-being AI chatbots
📱 Enhancing product design

You can find the most recent version of my resume here

Education
  • PhD in Human Factors and Applied Cognition, 2024

    George Mason University

  • MA in Human Factors and Applied Cognition, 2022

    George Mason University

  • MS in Psychology, 2020

    University of Otago

  • BS(Hons) in Psychology, 2018

    University of Otago

Select Projects

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Evaluating Airbnb’s Preferred Features
Individual research conducting MaxDiff survey to identify user driven preferred Airbnb listing features
Evaluating Airbnb's Preferred Features
Exploring UX of mHealth Chatbots
My own research whereby I developed and evaluated a text-based SMS conversational agent for student well-being
Exploring UX of mHealth Chatbots
In-App Market Accessibility Usabilathon
12-hour “hackathon” style usability competition for the design and development of improving in-app Marketplace accessibility.
In-App Market Accessibility Usabilathon
Social Justice Usabilathon
12-hour “hackathon” stlye usability competition for the design and development of improving collaboration for a Social Justice Platform
Social Justice Usabilathon

Experience

 
 
 
 
 
George Mason University
Doctoral Research Scholar
George Mason University
August 2020 – Present Fairfax, VA
  • Enhanced driver safety awareness through validating a vehicle communication framework involving AR and AI using surveys, A/B testing, semantic analysis, and thematic analysis of 8500+ responses.
  • Analyzed demographic distinctions in trust and social perceptions of autonomous vehicles and social robots through ANOVA and psychometric analysis of surveys.
  • Increased potential for user engagement by creating a novel rewards program for a driving application through user interviews, card sorting, competitor analysis, journey mapping, and a novel tournament-style rewards prioritization.
  • Published strategic recommendations to improve accessibility and UX of well-being chatbots by analyzing 19 interviews with cognitive walkthroughs and data mining of 60k+ comments from online public forums.
  • Enabled research growth through the management and mentoring of 20+ researchers over 7 projects through all phases of research, from study design (literature reviews and planning), data collection (in-person and online recruitment), analysis (thematic analysis, ANOVA, regression), and report writing.
 
 
 
 
 
George Mason University
Research Associate
George Mason University
May 2023 – August 2023 Fairfax, VA
  • Enhanced research protocol effectiveness by advocating areas for improvement to stakeholders towards creating a novel testbed for human-machine teaming in space operations.
  • Strengthened support for securing future grants towards human-machine teaming through successful implementation of proof-of-concept experimental research.
  • Collaborated with the United States Air Force Academy and mentored 2 cadets in end-to-end research leading to their successful stakeholder presentation and conference submission.
 
 
 
 
 
University of Otago
Researcher
University of Otago
January 2018 – May 2020 Otago, New Zealand
  • Enhanced road safety understanding of youth driver risk factors through the development of driving simulations coupled with SPSS regression analysis on survey data of 100+ participants.
  • Advocated policy changes and safety initiatives at rail level crossings through systematically identifying 40+ crash contributing factors at rail level crossings across New Zealand and Australia via thematic analysis of investigation reports and Subject Matter Expert survey.