Now showing items 67-69 of 55010

    • Fewer Than 1% of Explainable AI Papers Validate Explainability with Humans 

      Suh, Ashley; Hurley, Isabelle; Smith, Nora; Siu, Ho Chit (ACM|Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025-04-25)
      This late-breaking work presents a large-scale analysis of explainable AI (XAI) literature to evaluate claims of human explainability. We collaborated with a professional librarian to identify 18,254 papers containing ...
    • Characteristics of Driver Peripheral Vision: How Drivers Respond to Ubiquitous Information on Wide-Area In-Vehicle Displays 

      Huang, Hongwei; Li, Jiateng; Feng, Xuejing; Ma, Jun; Mehler, Bruce (ACM|Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025-04-25)
      Despite advancements in In-Vehicle Information Systems (IVIS) and extensive research on screen layouts, the influence of drivers’ peripheral vision on interactions with evolving multi-screen and large display technologies ...
    • Guiding Evolutionary AutoEncoder Training with Activation-Based Pruning Operators 

      Jorgensen, Steven; Hemberg, Erik; Toutouh, Jamal; O'Reilly, Una-May (ACM|Genetic and Evolutionary Computation Conference, 2025-07-13)
      This study explores a novel approach to neural network pruning using evolutionary computation, focusing on simultaneously pruning the encoder and decoder of an autoencoder. We introduce two new mutation operators that use ...