Careful considerations in designing and organizing information for restaurant point-of-sale (POS) systems can affect user experience. Unfortunately, usability guidelines are sparse for these systems. Applications from other studies, such as categorical organization and F-shape, are implemented in an experimental interface as a starting point of discussion. A control interface was designed after the default version of NCR Aloha’s POS program: Aloha Table Service. Novice and expert order taking strategies were also observed to compare input differences. This study examined selection time, total time, and selection accuracy across both order and interface types. The results show that time and number of key presses are significantly reduced under the treatment interface, and that teaching expert order taking strategies to novice users may help reduce cognitive load.

To address the dearth of knowledge about person-based and trip-level exposure, we developed the Icarus model. Icarus uses mesoscale traffic model—activity-based model—to analyze the heat exposure of regions of interest at an individual level. The goal with Icarus was to design accurate, granular models of population and temperature behavior for a target region, which could be transformed into a heat exposure model by means of simulation and spatial-temporal joining. By combining and implementing the most robust software and data available, Icarus was able to capture person-based exposure with unparalleled detail. Here we describe the model methodology. We use the metropolitan region of Phoenix, Arizona, USA to carry out a case study using Icarus.