37 citations · 52 across the 4 of their papers we have counts for
5 papers
Oops, Not Now: PEARL, a RAG-Based Support Agent for Gameplay and What Players Want from AI Help
Jiahong Li, Sai Siddartha Maram, Atieh Kashani +6
AI-powered gameplay support agents hold promise for game-based learning, yet grounding generative models in structured game data remains an open challenge. We present PEARL (Parall…
Results-Actionability Gap: Understanding How Practitioners Evaluate LLM Products in the Wild
Willem van der Maden, Malak Sadek, Ziang Xiao +3
How do product teams evaluate LLM-powered products? As organizations integrate large language models (LLMs) into digital products, their unpredictable nature makes traditional eval…
The Centers and Margins of Modeling Humans in Well-being Technologies: A Decentering Approach
Jichen Zhu, Pedro Sanches, Vasiliki Tsaknaki +2
This paper critically examines the machine learning (ML) modeling of humans in three case studies of well-being technologies. Through a critical technical approach, it examines how…
Machine Learning Processes as Sources of Ambiguity: Insights from AI Art
Christian Sivertsen, Guido Salimbeni, Anders Sundnes Løvlie +2
Ongoing efforts to turn Machine Learning (ML) into a design material have encountered limited success. This paper examines the burgeoning area of AI art to understand how artists i…
Improving Fairness in Adaptive Social Exergames via Shapley Bandits
Robert C. Gray, Jennifer Villareale, Thomas B. Fox +5
Algorithmic fairness is an essential requirement as AI becomes integrated in society. In the case of social applications where AI distributes resources, algorithms often must make…