Investigating How Humans Will Interface with an LLM-Integrated Internet

Author: ORCID icon
Jad, Roy, School of Engineering and Applied Science, University of Virginia
Earle, Joshua, Engineering and Society, University of Virginia

In the technical part of my thesis, I collaborated with a team to explore Human-Robot Interaction (HRI) in a social context. Our experiment involved 24 participants playing Simon Says either with or without a NAO robot. We discovered that the robot’s presence positively influenced enjoyment but left questions about the role of novelty, suggesting future avenues for research.

In the STS section, I investigated the transformative potential of Large Language Models (LLMs) in internet search. Using the Value Sensitive Design (VSD) framework, I conducted both a literature review and an interview. The literature review examined pros and cons of LLMs, while the interview offered a real-world perspective on their practicality and limitations.

In summary, the insights from both the HRI and LLM studies provide a nuanced lens into human interactions with technology.

BS (Bachelor of Science)
Human-Robot Interaction (HRI) , Large Language Models (LLMs) , User Experience (UX) , Social Games , Internet Search
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