Designing for Trust: Evaluating the Conceptualizations of Trust in Literature Towards LLM Design
Matthew Bernhardt
The rapid growth in popularity of artificial intelligence, especially large language models (LLMs), has fueled a widespread desire to harness this technology for a variety of purposes. There are, however, a variety of concerns surrounding the adoption of LLMs that warrant an examination of the factors that influence user trust in these technologies. This study conducts a literature review surrounding research on LLMs to evaluate the impact that various design features such as modality, user inte