The study of how humans interact with computers and how to design more usable computing interfaces.
This research investigates the usage of large language model (LLM) based chatbots by LGBTQ+ individuals for mental health support. It includes interviews with both LGBTQ+ and non-LGBTQ+ participants about their…
Continue readingThe article investigates the effect of AI’s overconfidence and underconfidence on human trust, their acceptance of AI suggestions, and collaboration outcomes. It reveals that disclosing AI confidence levels and performance…
Continue readingThis research paper discusses the issue of missing data in electronic patient records (EPRs) and its impact on clinical data analysis. The authors argue that missing data can lead to…
Continue readingThis research investigates the capabilities of Large Language Models (LLMs) in debate-based opinion consensus formation. It tests LLMs in environments involving humans only, agents and humans, and agents only. The…
Continue readingThe article discusses a new approach in Generative Artificial Intelligence, specifically large text-to-image models. It introduces a prompting-free generative approach that enables users to create personalized painterly content that reflects…
Continue readingThe paper discusses the challenges faced by Large Language Models (LLMs) when applied to general-purpose software systems like operating systems. These include maintaining an up-to-date understanding of vast and dynamic…
Continue readingThe article presents a study from IBM Research AI on creating efficient models for detecting hate, abuse, and profanity (HAP) in Large Language Models (LLMs). The authors highlight the importance…
Continue readingThe article explores the impact of Large Language Models (LLMs) on conversational search systems. The study conducts two experiments to investigate whether and how LLM-powered conversational search increases selective exposure…
Continue readingThe research paper introduces FACT-GPT, a system that uses Large Language Models (LLMs) to automate the fact-checking process by matching claims on social media to previously debunked claims. The authors…
Continue readingThe article by Nikhil Sharma, Q. Vera Liao, and Ziang Xiao explores the effects of Large Language Models (LLMs) powered search systems on information diversity and selective exposure. It presents…
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