Stephanie Houde

Papers

Total Citations

H-Index

About

Stephanie Houde is a leading researcher at the intersection of human-computer interaction and artificial intelligence, with a primary focus on how AI systems can be designed to augment rather than replace human workers. Her most influential work, "Rebalancing Worker Initiative and AI Initiative in Future Work: Four Task Dimensions" (2023, 13 citations), provides a foundational framework for understanding the delicate balance between human agency and automation in collaborative work environments. In this paper, Houde identifies four critical task dimensions—initiation, execution, evaluation, and adaptation—that determine how conversational AI assistants can best support knowledge workers without undermining their autonomy. This contribution is particularly significant as organizations increasingly deploy intelligent robotic process automation (RPA) tools that evolve from simple automation to sophisticated collaborative partners. Houde's research offers practical guidance for designing AI systems that respect worker initiative while leveraging machine efficiency, making her work essential reading for anyone studying the future of human-AI collaboration in the workplace. Her insights are shaping how technologists and organizations approach the ethical and practical challenges of integrating AI into knowledge work.