Stanford Seminar - Evaluating and Designing Computing Systems for the Future of Work

The podcast explores the speaker's PhD work on evaluating and designing computing systems for the future of work, questioning whether current technologies have created an ideal workplace. It highlights three projects influenced by Simon's vision of studying computing technologies as a science of the artificial. The first project analyzes multitasking behavior during remote meetings using data from Microsoft Teams, finding correlations between meeting characteristics and multitasking. The second uses AI and NLP to classify team viability based on chat interactions, identifying behavioral traits associated with high-viability teams. The third examines the use of large language models to provide scientific feedback on research papers, comparing AI-generated feedback with human reviews. The speaker also touches on ongoing work quantifying AI usage effects and building AI-based team communication intervention tools.