I present a framework for modeling memory, retrieval, perception, and their interactions. The models are inspired by Bayesian induction to determine optimal decisions, in the face of a memory system with inherently noisy storage and retrieval. The starting point for this work was the Retrieving Effectively from Memory (REM) model for episodic recognition (Shiffrin & Steyvers, 1997). The general...

Users' preference for folders vs. tags was studied in two working environments where both options were available to them. In the Gmail study we informed 75 participants about both folder-labeling and tag-labeling, observed their storage behavior after a month, and asked them to estimate the proportions of different retrieval options in their behavior. In the Windows 7 study, we informed 23 part...

Combining low-level features that represent the content of medical images with high level features that are saved with images would allow the expansion of text queries submitted to Content Based Image Retrieval (CBIR) systems. Expanding these text queries would allow CBIR systems to respond more effectively to specific queries when retrieving medical images. We hypothesized that adding an autom...