https://psyarxiv.com/gh2ck/
Research using online research participants is here to stay. Understanding who these subjects are, and specifically what kind of biases and selection mechanisms they bring to our research studies will be important for the future of human-subjects research as our studies rely more and more on the Online Volunteer Subject. Here we extend a method validated to understand biases in inperson research subjects to the online laboratory. Using this method, we attempt to replicate and extend this work as a tool for other researchers to use in their own online studies to quantify potential biases and space for treatment heterogeneity.
Professor at George Washington University
I am a Professor with Human-Technology Collaboration and Educational Technology programs at George Washington University in Washington DC. I have written 12 books and more than 100 articles, and I co-host of the Parsing Science podcast where scientists tell the stories behind their research. I am also the developer of the WeShareScience.com online platform for sharing research videos, and SciencePods.com where researchers can create free podcasts about their science. My research interests include human interactions with intelligent machines, needs, needs assessments, and instructional design.
Latest posts by Ryan Watkins (see all)
- Limitations of the LLM-as-a-Judge Approach for Evaluating LLM Outputs in Expert Knowledge Tasks - June 7, 2025
- Neural and Cognitive Impacts of AI: The Influence of Task Subjectivity on Human-LLM Collaboration - June 5, 2025
- From Lived Experience to Insight: Unpacking the Psychological Risks of Using AI Conversational Agents - May 30, 2025