The study of how humans interact with computers and how to design more usable computing interfaces.
The article investigates the use of Large Language Models (LLMs) in implementing Just-in-Time Adaptive Interventions (JITAIs) in digital health. JITAIs are being explored for sustainable behavior change, adapting interventions to…
Continue readingThe article presents a new framework called PROMST for optimizing prompts in multi-step tasks for Large Language Models (LLMs). Unlike previous methods, which work well for single-step tasks, PROMST is…
Continue readingThis Google study presents initial results on predicting real-life user experience (UX) on laptops from their hardware specifications. The research focuses on web applications that run on Chromebooks. By tracking…
Continue readingThe research discusses the increasing security threats posed by Large Language Models (LLMs). Traditional jailbreak attacks, designed to assess the security defenses of LLMs, are easily recognized and defended by…
Continue readingThe article by Rita Stampfl, Igor Ivki, and Barbara Geyer discusses the implementation of Large Language Models (LLMs), particularly ChatGPT, in role-playing simulation games to promote active learning. The authors…
Continue readingThe paper evaluates the rationality and cognitive biases of seven Large Language Models (LLMs) using tasks from cognitive psychology. The LLMs display irrationality in these tasks, often providing incorrect answers…
Continue readingThe article discusses the lack of effective user participation in current language model-driven agents due to the vagueness commonly found in user instructions. To address this, the authors introduce Intention-in-Interaction…
Continue readingThe paper discusses the use of Large Language Models (LLMs) in education, particularly in the authoring of Intelligent Tutoring Systems. Although LLMs have potential, they often deviate from desired pedagogical…
Continue readingThis paper introduces UR2M, a novel Uncertainty and Resource-aware event detection framework for microcontrollers (MCUs). The framework aims to overcome the challenge of unreliable predictions caused by distribution shifts between…
Continue readingThe article by Ruqing Xu discusses the design of an algorithm that aids in decision making. It contemplates whether to act directly based on the algorithm’s prediction or delegate the…
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